Rancho Cordova City Council
September 18, 2023

2030 Annual Mon-Sun 2.27E+09 Forklift
D 175 Airport Gro U P NHH NP Monterey NCC MBU 3.11E-01 6.33E-01 1.68E+00 5.80E-06 1.03E-04 1.88E-05 1.85E-02 2.08E-07 8.22E-07 0.00E+00 5.23E-07 2030 Annual Mon-Sun 2.27E+09 Fuel TruckD 250 Airport Gro U N NHH NP Monterey NCC MBU 1.67E-01 2.87E-01 7.66E-01 2.30E-06 1.57E-05 7.29E-06 8.47E-03 9.53E-08 2.52E-07 0.00E+00 2.08E-07 2030 Annual Mon-Sun 2.27E+09 Ground Pow D 175 Airport Gro U N NHH P Monterey NCC MBU 2.49E+00 6.62E+00 4.62E+01 1.65E-04 2.88E-03 4.50E-04 5.08E-01 5.71E-06 1.95E-05 0.00E+00 1.49E-05 2030 Annual Mon-Sun 2.27E+09 Lav TruckD 175 Airport Gro U N NHH NP Monterey NCC MBU 3.98E-02 1.43E-01 3.41E-01 1.40E-06 2.19E-05 3.86E-06 3.74E-03 4.21E-08 1.73E-07 0.00E+00 1.26E-07 2030 Annual Mon-Sun 2.27E+09 LiftD 120 Airport Gro U N NHH NP Monterey NCC MBU 4.14E-01 8.99E-01 2.95E+00 1.42E-05 2.05E-04 9.57E-05 3.24E-02 3.80E-07 2.11E-06 0.00E+00 1.29E-06 2030 Annual Mon-Sun 2.27E+09 Other GSED 175 Airport Gro U N NHH NP Monterey NCC MBU 7.40E-01 1.87E+00 7.50E+00 4.11E-05 4.78E-04 1.89E-04 8.24E-02 1.07E-06 9.69E-06 0.00E+00 3.71E-06 2030 Annual Mon-Sun 2.27E+09 Passenger S
D 120 Airport Gro U N NHH NP Monterey NCC MBU 6.37E-02 1.22E-02 4.12E-02 9.01E-08 2.48E-06 1.23E-06 4.54E-04 5.32E-09 1.90E-08 0.00E+00 8.13E-09 2030 Annual Mon-Sun 2.27E+09 SweeperD 120 Airport Gro U N NHH NP Monterey NCC MBU 1.83E-01 1.45E-01 2.16E-01 5.43E-07 1.35E-05 5.91E-06 2.38E-03 2.68E-08 5.49E-08 0.00E+00 4.90E-08 2030 Annual Mon-Sun 2.27E+09 GeneratorD 120 Airport Gro U N NHH P Monterey NCC MBU 1.19E-01 5.34E-01 2.00E+00 1.19E-05 1.47E-04 6.67E-05 2.19E-02 2.47E-07 1.52E-06 0.00E+00 1.07E-06 2030 Annual Mon-Sun 2.27E+09 GeneratorD 175 Airport Gro U N NHH P Monterey NCC MBU 6.53E-01 2.92E+00 2.06E+01 8.80E-05 1.34E-03 2.34E-04 2.26E-01 2.54E-06 1.06E-05 0.00E+00 7.94E-06 2030 Annual Mon-Sun 2.27E+09 GeneratorD 250 Airport Gro U N NHH P Monterey NCC MBU 6.77E-01 3.03E+00 3.06E+01 1.25E-04 6.85E-04 3.00E-04 3.39E-01 3.81E-06 1.08E-05 0.00E+00 1.13E-05 2030 Annual Mon-Sun 2.27E+09 GeneratorD 500 Airport Gro U N NHH P Monterey NCC MBU 7.17E-02 3.21E-01 5.14E+00 2.09E-05 1.09E-04 4.79E-05 5.69E-02 6.40E-07 1.79E-06 0.00E+00 1.89E-06 2030 Annual Mon-Sun 2.27E+09 GeneratorD 750 Airport Gro U N NHH P Monterey NCC MBU 9.55E-02 4.27E-01 1.11E+01 4.51E-05 2.35E-04 1.04E-04 1.22E-01 1.38E-06 3.87E-06 0.00E+00 4.07E-06 2030 Annual Mon-Sun 2.27E+09 Service TrucD 175 Airport Gro U N NHH NP Monterey NCC MBU 2.63E-01 3.64E-01 7.20E-01 2.10E-06 4.21E-05 7.90E-06 7.92E-03 8.91E-08 3.37E-07 0.00E+00 1.89E-07 2030 Annual Mon-Sun 2.27E+09 Catering Tr
D 250 Airport Gro U N NHH NP Monterey NCC MBU 6.37E-02 6.47E-02 4.57E-01 8.89E-07 8.75E-06 2.70E-06 5.06E-03 5.69E-08 9.08E-08 0.00E+00 8.02E-08 2030 Annual Mon-Sun 2.27E+09 Hydrant Tru
D 175 Airport Gro U N NHH NP Monterey NCC MBU 1.27E-01 2.18E-01 1.52E+00 5.37E-06 9.15E-05 2.07E-05 1.67E-02 1.88E-07 9.00E-07 0.00E+00 4.84E-07 2030 Annual Mon-Sun 2.27E+09 Compresso
D 120 Airport Gro U P NHHP Monterey NCC MBU 3.98E-02 8.89E-02 2.31E-01 1.13E-06 1.61E-05 7.51E-06 2.54E-03 2.98E-08 1.66E-07 0.00E+00 1.02E-07 2030 Annual Mon-Sun 2.27E+09 Compresso
D 250 Airport Gro U N NHHP Monterey NCC MBU 7.96E-03 1.78E-02 9.38E-02 3.15E-07 1.98E-06 9.01E-07 1.04E-03 1.17E-08 3.16E-08 0.00E+00 2.84E-08 2030 Annual Mon-Sun 2.27E+09 Compresso
D 500 Airport Gro U N NHHP Monterey NCC MBU 3.18E-02 7.11E-02 7.73E-01 2.59E-06 1.57E-05 7.06E-06 8.55E-03 8.39E-08 2.57E-07 0.00E+00 2.34E-07 2030 Annual Mon-Sun 2.27E+09 Compresso
D 750 Airport Gro U N NHHP Monterey NCC MBU 1.04E-01 2.31E-01 3.71E+00 1.24E-05 7.54E-05 3.43E-05 4.11E-02 4.13E-07 1.24E-06 0.00E+00 1.12E-06 2030 Annual Mon-Sun 2.27E+09 Transport R D 15 Transport R U N NHH NP Monterey NCC MBU 2.09E+02 5.97E+02 2.18E+02 2.48E-03 1.46E-02 1.74E-02 2.39E+00 3.04E-05 6.81E-04 0.00E+00 2.24E-04 2030 Annual Mon-Sun 2.27E+09 Transport R D 25 Transport R U N NHH NP Monterey NCC MBU 5.65E+01 1.61E+02 1.00E+02 1.32E-03 4.52E-03 8.37E-03 1.10E+00 1.39E-05 3.13E-04 0.00E+00 1.19E-04 2030 Annual Mon-Sun 2.27E+09 Transport R D 50 Transport R U N NHH NP Monterey NCC MBU 1.73E+03 6.95E+03 8.23E+03 6.76E-02 7.09E-01 4.93E-01 9.00E+01 1.16E-03 2.38E-03 0.00E+00 6.10E-03 2030 Annual Mon-Sun 2.27E+09 A/C unitD 120 Military Tac U P NHH P Monterey NCC MBU 2.88E-01 2.37E-01 8.20E-01 2.73E-06 5.22E-05 2.63E-05 9.02E-03 1.06E-07 5.67E-07 0.00E+00 2.47E-07 2030 Annual Mon-Sun 2.27E+09 A/C unitD 250 Military Tac U N NHH P Monterey NCC MBU 1.20E-01 9.91E-02 7.00E-01 1.59E-06 1.35E-05 7.12E-06 7.75E-03 8.72E-08 2.26E-07 0.00E+00 1.43E-07 2030 Annual Mon-Sun 2.27E+09 A/C unitD 500 Military Tac U N NHH P Monterey NCC MBU 4.76E-02 3.92E-02 4.19E-01 9.42E-07 7.95E-06 4.02E-06 4.64E-03 4.56E-08 1.33E-07 0.00E+00 8.50E-08 2030 Annual Mon-Sun 2.27E+09 Aircraft Sup
D 120 Military Tac U P NHHP Monterey NCC MBU 7.84E-02 6.46E-02 1.50E-01 5.00E-07 9.56E-06 4.81E-06 1.65E-03 1.94E-08 1.04E-07 0.00E+00 4.51E-08 2030 Annual Mon-Sun 2.27E+09 Aircraft Sup
D 175 Military Tac U P NHHP Monterey NCC MBU 1.12E-01 9.22E-02 4.41E-01 1.08E-06 2.48E-05 5.29E-06 4.85E-03 5.46E-08 2.08E-07 0.00E+00 9.78E-08 2030 Annual Mon-Sun 2.27E+09 CartD 120 Military Tac U P NHH P Monterey NCC MBU 3.36E-02 2.77E-02 7.66E-02 2.55E-07 4.88E-06 2.46E-06 8.42E-04 9.88E-09 5.30E-08 0.00E+00 2.30E-08 2030 Annual Mon-Sun 2.27E+09 CartD 175 Military Tac U P NHH P Monterey NCC MBU 8.40E-03 6.92E-03 3.61E-02 8.88E-08 2.04E-06 4.34E-07 3.98E-04 4.48E-09 1.70E-08 0.00E+00 8.01E-09 2030 Annual Mon-Sun 2.27E+09 CartD 250 Military Tac U N NHH P Monterey NCC MBU 2.80E-02 2.31E-02 1.54E-01 3.50E-07 2.98E-06 1.57E-06 1.71E-03 1.92E-08 4.98E-08 0.00E+00 3.15E-08 2030 Annual Mon-Sun 2.27E+09 Communica
D 50 Military Tac U P NHHP Monterey NCC MBU 1.12E-02 9.22E-03 1.26E-02 7.32E-08 8.68E-07 7.58E-07 1.39E-04 1.79E-09 9.55E-09 0.00E+00 6.60E-09 2030 Annual Mon-Sun 2.27E+09 Communica
D 120 Military Tac U P NHHP Monterey NCC MBU 1.68E-02 1.38E-02 3.78E-02 1.26E-07 2.41E-06 1.21E-06 4.16E-04 4.88E-09 2.62E-08 0.00E+00 1.14E-08 2030 Annual Mon-Sun 2.27E+09 Compresso
D 50 Military Tac U P NHHP Monterey NCC MBU 1.12E-02 9.22E-03 1.55E-02 8.96E-08 1.06E-06 9.28E-07 1.70E-04 2.20E-09 1.17E-08 0.00E+00 8.09E-09 2030 Annual Mon-Sun 2.27E+09 Compresso
D 120 Military Tac U P NHHP Monterey NCC MBU 4.23E-01 3.48E-01 8.45E-01 2.82E-06 5.38E-05 2.71E-05 9.29E-03 1.09E-07 5.84E-07 0.00E+00 2.54E-07 2030 Annual Mon-Sun 2.27E+09 Compresso
D 175 Military Tac U P NHHP Monterey NCC MBU 1.12E-02 9.22E-03 5.26E-02 1.29E-07 2.96E-06 6.31E-07 5.79E-04 6.51E-09 2.48E-08 0.00E+00 1.17E-08 2030 Annual Mon-Sun 2.27E+09 Compresso
D 250 Military Tac U N NHHP Monterey NCC MBU 2.24E-02 1.84E-02 1.40E-01 3.17E-07 2.70E-06 1.42E-06 1.55E-03 1.74E-08 4.51E-08 0.00E+00 2.86E-08 2030 Annual Mon-Sun 2.27E+09 Compresso
D 500 Military Tac U N NHHP Monterey NCC MBU 7.84E-02 6.46E-02 8.18E-01 1.84E-06 1.55E-05 7.85E-06 9.05E-03 8.88E-08 2.60E-07 0.00E+00 1.66E-07 2030 Annual Mon-Sun 2.27E+09 CraneD 120 Military Tac U P NHH P Monterey NCC MBU 4.48E-02 3.69E-02 1.32E-01 3.08E-07 8.17E-06 3.49E-06 1.46E-03 1.71E-08 2.57E-08 0.00E+00 2.78E-08 2030 Annual Mon-Sun 2.27E+09 CraneD 175 Military Tac U P NHH P Monterey NCC MBU 8.40E-03 6.92E-03 3.33E-02 5.45E-08 1.82E-06 1.75E-07 3.67E-04 4.12E-09 5.96E-09 0.00E+00 4.92E-09 2030 Annual Mon-Sun 2.27E+09 CraneD 250 Military Tac U N NHH P Monterey NCC MBU 5.60E-03 4.61E-03 3.35E-02 5.49E-08 6.27E-07 1.72E-07 3.71E-04 4.17E-09 5.92E-09 0.00E+00 4.96E-09 2030 Annual Mon-Sun 2.27E+09 DeicerD 120 Military Tac U P NHH P Monterey NCC MBU 1.12E-02 9.22E-03 3.47E-02 1.16E-07 2.21E-06 1.11E-06 3.81E-04 4.47E-09 2.40E-08 0.00E+00 1.04E-08 2030 Annual Mon-Sun 2.27E+09 Generator (
D 50 Military Tac U P NHHP Monterey NCC MBU 7.56E-02 6.23E-02 8.10E-02 4.69E-07 5.56E-06 4.86E-06 8.89E-04 1.15E-08 6.12E-08 0.00E+00 4.23E-08 2030 Annual Mon-Sun 2.27E+09 Generator (
D 120 Military Tac U P NHHP Monterey NCC MBU 1.88E+00 1.55E+00 4.40E+00 1.47E-05 2.80E-04 1.41E-04 4.83E-02 5.67E-07 3.04E-06 0.00E+00 1.32E-06 2030 Annual Mon-Sun 2.27E+09 Generator (
D 175 Military Tac U P NHHP Monterey NCC MBU 1.51E+00 1.25E+00 6.26E+00 1.54E-05 3.53E-04 7.51E-05 6.89E-02 7.75E-07 2.95E-06 0.00E+00 1.39E-06 2030 Annual Mon-Sun 2.27E+09 Generator (
D 250 Military Tac U N NHHP Monterey NCC MBU 4.00E-01 3.30E-01 2.50E+00 5.66E-06 4.82E-05 2.54E-05 2.76E-02 3.11E-07 8.07E-07 0.00E+00 5.11E-07 2030 Annual Mon-Sun 2.27E+09 Generator (
D 500 Military Tac U N NHHP Monterey NCC MBU 1.62E-01 1.34E-01 1.58E+00 3.55E-06 2.99E-05 1.52E-05 1.75E-02 1.72E-07 5.03E-07 0.00E+00 3.20E-07 2030 Annual Mon-Sun 2.27E+09 Generator (
D 750 Military Tac U N NHHP Monterey NCC MBU 5.60E-03 4.60E-03 8.36E-02 1.88E-07 1.58E-06 8.13E-07 9.25E-04 9.30E-09 2.68E-08 0.00E+00 1.70E-08 2030 Annual Mon-Sun 2.27E+09 Hydraulic u
D 120 Military Tac U P NHHP Monterey NCC MBU 1.88E-01 1.54E-01 5.02E-01 1.67E-06 3.20E-05 1.61E-05 5.52E-03 6.47E-08 3.47E-07 0.00E+00 1.51E-07 2030 Annual Mon-Sun 2.27E+09 Lift (Militar
D 120 Military Tac U P NHHP Monterey NCC MBU 5.60E-03 4.61E-03 1.50E-02 4.99E-08 9.54E-07 4.80E-07 1.65E-04 1.93E-09 1.04E-08 0.00E+00 4.51E-09 2030 Annual Mon-Sun 2.27E+09 LightD 50 Military Tac U P NHH P Monterey NCC MBU 1.40E-02 1.15E-02 1.97E-02 1.14E-07 1.36E-06 1.18E-06 2.17E-04 2.80E-09 1.49E-08 0.00E+00 1.03E-08 2030 Annual Mon-Sun 2.27E+09 Pressure W
D 175 Military Tac U P NHHP Monterey NCC MBU 8.40E-03 6.92E-03 3.59E-02 8.82E-08 2.02E-06 4.31E-07 3.95E-04 4.45E-09 1.69E-08 0.00E+00 7.96E-09 2030 Annual Mon-Sun 2.27E+09 Pump (Milit
D 50 Military Tac U P NHHP Monterey NCC MBU 1.62E-01 1.34E-01 1.79E-01 1.03E-06 1.23E-05 1.07E-05 1.96E-03 2.53E-08 1.35E-07 0.00E+00 9.33E-08 2030 Annual Mon-Sun 2.27E+09 Pump (Milit
D 120 Military Tac U P NHHP Monterey NCC MBU 1.26E-01 1.04E-01 3.55E-01 1.18E-06 2.26E-05 1.14E-05 3.90E-03 4.57E-08 2.45E-07 0.00E+00 1.07E-07 2030 Annual Mon-Sun 2.27E+09 Start CartD 120 Military Tac U P NHH P Monterey NCC MBU 2.80E-03 2.31E-03 7.88E-03 2.63E-08 5.02E-07 2.53E-07 8.67E-05 1.02E-09 5.45E-09 0.00E+00 2.37E-09 2030 Annual Mon-Sun 2.27E+09 Start CartD 500 Military Tac U N NHH P Monterey NCC MBU 2.80E-03 2.31E-03 2.22E-02 4.98E-08 4.20E-07 2.13E-07 2.45E-04 2.41E-09 7.05E-09 0.00E+00 4.49E-09 2030 Annual Mon-Sun 2.27E+09 Test StandD 120 Military Tac U P NHH P Monterey NCC MBU 9.24E-02 7.61E-02 2.39E-01 7.98E-07 1.52E-05 7.67E-06 2.63E-03 3.09E-08 1.65E-07 0.00E+00 7.20E-08 2030 Annual Mon-Sun 2.27E+09 Test StandD 175 Military Tac U P NHH P Monterey NCC MBU 5.60E-03 4.61E-03 2.24E-02 5.50E-08 1.26E-06 2.68E-07 2.46E-04 2.77E-09 1.05E-08 0.00E+00 4.96E-09 2030 Annual Mon-Sun 2.27E+09 Test StandD 250 Military Tac U N NHH P Monterey NCC MBU 8.68E-02 7.15E-02 4.78E-01 1.08E-06 9.23E-06 4.86E-06 5.29E-03 5.95E-08 1.55E-07 0.00E+00 9.78E-08 2030 Annual Mon-Sun 2.27E+09 Test StandD 500 Military Tac U N NHH P Monterey NCC MBU 3.36E-02 2.77E-02 3.22E-01 7.24E-07 6.11E-06 3.09E-06 3.57E-03 3.50E-08 1.03E-07 0.00E+00 6.53E-08 2030 Annual Mon-Sun 2.27E+09 WelderD 50 Military Tac U P NHH P Monterey NCC MBU 5.88E-02 4.84E-02 5.80E-02 3.36E-07 3.99E-06 3.48E-06 6.37E-04 8.23E-09 4.39E-08 0.00E+00 3.03E-08 2030 Annual Mon-Sun 2.27E+09 WelderD 120 Military Tac U P NHH P Monterey NCC MBU 1.62E-01 1.34E-01 2.84E-01 9.45E-07 1.81E-05 9.08E-06 3.12E-03 3.66E-08 1.96E-07 0.00E+00 8.53E-08 2030 Annual Mon-Sun 2.27E+09 Other tactic D 50 Military Tac U P NHH P Monterey NCC MBU 2.80E-03 2.31E-03 3.95E-03 2.29E-08 2.71E-07 2.37E-07 4.33E-05 5.60E-10 2.98E-09 0.00E+00 2.06E-09 2030 Annual Mon-Sun 2.27E+09 Other tactic D 120 Military Tac U P NHH P Monterey NCC MBU 4.48E-02 3.69E-02 9.97E-02 3.32E-07 6.35E-06 3.19E-06 1.10E-03 1.28E-08 6.89E-08 0.00E+00 3.00E-08 2030 Annual Mon-Sun 2.27E+09 Other tactic D 175 Military Tac U P NHH P Monterey NCC MBU 4.48E-02 3.69E-02 1.86E-01 4.58E-07 1.05E-05 2.24E-06 2.05E-03 2.31E-08 8.78E-08 0.00E+00 4.13E-08 2030 Annual Mon-Sun 2.27E+09 Other tactic D 250 Military Tac U N NHH P Monterey NCC MBU 1.68E-02 1.38E-02 1.02E-01 2.32E-07 1.98E-06 1.04E-06 1.13E-03 1.28E-08 3.31E-08 0.00E+00 2.09E-08 2030 Annual Mon-Sun 2.27E+09 Other tactic D 500 Military Tac U N NHH P Monterey NCC MBU 5.60E-03 4.61E-03 4.23E-02 9.50E-08 8.01E-07 4.06E-07 4.68E-04 4.59E-09 1.35E-08 0.00E+00 8.57E-09 2030 Annual Mon-Sun 2.27E+09 Other tactic D 750 Military Tac U N NHH P Monterey NCC MBU 2.80E-03 2.31E-03 4.90E-02 1.10E-07 9.29E-07 4.76E-07 5.43E-04 5.45E-09 1.57E-08 0.00E+00 9.96E-09 2030 Annual Mon-Sun 2.27E+09 Generator (
D 50 Entertainm UP NHHP Monterey NCC MBU 4.95E-02 4.58E-02 9.10E-02 5.62E-07 6.43E-06 5.50E-06 9.98E-04 1.29E-08 7.16E-08 0.00E+00 5.07E-08 2030 Annual Mon-Sun 2.27E+09 Generator (
D 120 Entertainm UP NHHP Monterey NCC MBU 1.21E+00 1.12E+00 4.54E+00 1.59E-05 2.92E-04 1.46E-04 4.99E-02 5.86E-07 3.25E-06 0.00E+00 1.44E-06 2030 Annual Mon-Sun 2.27E+09 Generator (
D 175 Entertainm UN NHHP Monterey NCC MBU 1.00E+00 9.27E-01 6.29E+00 1.63E-05 3.57E-04 7.61E-05 6.92E-02 7.79E-07 3.06E-06 0.00E+00 1.47E-06 2030 Annual Mon-Sun 2.27E+09 Generator (
D 250 Entertainm UN NHHP Monterey NCC MBU 1.55E+00 1.43E+00 1.28E+01 3.05E-05 2.49E-04 1.31E-04 1.41E-01 1.59E-06 4.22E-06 0.00E+00 2.75E-06 2030 Annual Mon-Sun 2.27E+09 Generator (
D 500 Entertainm UN NHHP Monterey NCC MBU 2.40E+00 2.22E+00 2.77E+01 6.57E-05 5.29E-04 2.68E-04 3.07E-01 3.01E-06 9.02E-06 0.00E+00 5.93E-06 2030 Annual Mon-Sun 2.27E+09 Generator (
D 750 Entertainm UN NHHP Monterey NCC MBU 4.21E-01 3.89E-01 9.54E+00 2.26E-05 1.82E-04 9.34E-05 1.06E-01 1.06E-06 3.12E-06 0.00E+00 2.04E-06 2030 Annual Mon-Sun 2.27E+09 Generator (
D 9999 Entertainm UN NHHP Monterey NCC MBU 6.19E-02 5.72E-02 2.49E+00 6.39E-06 4.76E-05 1.22E-04 2.76E-02 2.78E-07 1.46E-06 0.00E+00 5.77E-07 2030 Annual Mon-Sun 2.27E+09 Compresso
D 120 Entertainm UP NHHP Monterey NCC MBU 1.24E-02 2.76E-02 4.39E-02 2.28E-07 3.08E-06 1.48E-06 4.82E-04 5.65E-09 3.72E-08 0.00E+00 2.05E-08 2030 Annual Mon-Sun 2.27E+09 Compresso
D 120 Railyard OpUP NHHP Monterey NCC MBU 2.48E-02 5.52E-02 8.17E-02 4.24E-07 5.74E-06 2.76E-06 8.97E-04 1.05E-08 6.93E-08 0.00E+00 3.83E-08 2030 Annual Mon-Sun 2.27E+09 Crane (RailD 120 Railyard Op UP NHHP Monterey NCC MBU 1.24E-02 2.76E-02 6.78E-02 3.52E-07 4.76E-06 2.29E-06 7.44E-04 8.72E-09 5.75E-08 0.00E+00 3.17E-08 2030 Annual Mon-Sun 2.27E+09 Crane (RailD 175 Railyard Op UP NHHP Monterey NCC MBU 3.71E-02 3.43E-02 1.07E-01 2.76E-07 6.07E-06 1.29E-06 1.18E-03 1.32E-08 5.20E-08 0.00E+00 2.49E-08 2030 Annual Mon-Sun 2.27E+09 Materials H D 120 Railyard Op UP NHHP Monterey NCC MBU 1.24E-02 2.76E-02 7.44E-02 3.86E-07 5.23E-06 2.52E-06 8.16E-04 9.19E-09 6.31E-08 0.00E+00 3.48E-08 2030 Annual Mon-Sun 2.27E+09 Generator (
D 175 Railyard OpUP NHHP Monterey NCC MBU 1.24E-02 1.14E-02 7.23E-02 1.87E-07 4.11E-06 8.76E-07 7.96E-04 8.96E-09 3.52E-08 0.00E+00 1.69E-08 2030 Annual Mon-Sun 2.27E+09 Generator (
D 9999 Railyard OpUN NHHP Monterey NCC MBU 1.24E-02 1.14E-02 4.54E-01 1.16E-06 8.67E-06 2.21E-05 5.03E-03 5.05E-08 2.65E-07 0.00E+00 1.05E-07 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G2
2 Pleasure CrUN NHH NP Monterey NCC MBU 1.14E+02 1.50E+01 6.52E-01 2.99E-04 3.92E-04 1.60E-06 4.54E-03 1.29E-07 7.51E-05 2.01E-06 1.86E-05 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G2 15 Pleasure Cr UN NHH NP Monterey NCC MBU 6.32E+03 8.30E+02 1.08E+02 4.54E-02 7.15E-02 2.90E-03 7.54E-01 2.15E-05 1.25E-02 7.35E-04 2.82E-03 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G2 25 Pleasure Cr UN NHH NP Monterey NCC MBU 1.72E+03 2.25E+02 9.11E+01 2.77E-02 5.78E-02 2.95E-03 6.83E-01 1.95E-05 1.13E-02 4.01E-04 1.72E-03 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G2 50 Pleasure Cr UN NHH NP Monterey NCC MBU 1.68E+03 2.20E+02 2.61E+02 4.11E-02 7.12E-02 9.25E-03 2.25E+00 3.52E-05 2.04E-02 7.32E-04 2.56E-03 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G2 120 Pleasure Cr UN NHH NP Monterey NCC MBU 1.48E+03 1.94E+02 4.83E+02 7.01E-02 1.36E-01 1.80E-02 4.18E+00 6.60E-05 3.83E-02 9.84E-04 4.36E-03 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G2 175 Pleasure Cr UN NHH NP Monterey NCC MBU 6.81E+02 8.94E+01 4.00E+02 5.73E-02 1.28E-01 1.50E-02 3.44E+00 5.60E-05 3.25E-02 6.24E-04 3.56E-03 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G2 250 Pleasure Cr UN NHH NP Monterey NCC MBU 1.96E+02 2.57E+01 1.49E+02 1.95E-02 3.84E-02 8.39E-03 1.30E+00 2.17E-05 1.26E-02 2.55E-04 1.21E-03 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G2 500 Pleasure Cr UN NHH NP Monterey NCC MBU 3.95E+01 5.18E+00 4.33E+01 7.57E-03 1.42E-02 1.55E-04 3.66E-01 6.13E-06 3.55E-03 1.41E-05 4.71E-04 2030 Annual Mon-Sun 2.28E+09 Sailboat Au G2 15 Pleasure Cr UN NHH NP Monterey NCC MBU 6.08E+01 1.66E+00 2.36E-01 9.94E-05 1.57E-04 6.64E-06 1.65E-03 4.71E-08 2.73E-05 1.57E-06 6.18E-06 2030 Annual Mon-Sun 2.28E+09 Sailboat Au G2 25 Pleasure Cr UN NHH NP Monterey NCC MBU 3.27E+01 8.93E-01 2.96E-01 9.02E-05 1.89E-04 9.92E-06 2.22E-03 6.33E-08 3.67E-05 1.45E-06 5.61E-06 2030 Annual Mon-Sun 2.28E+09 Sailboat Au G2 50 Pleasure Cr UN NHH NP Monterey NCC MBU 3.03E+01 8.29E-01 8.71E-01 1.37E-04 2.38E-04 3.22E-05 7.51E-03 1.17E-07 6.81E-05 2.64E-06 8.52E-06 2030 Annual Mon-Sun 2.28E+09 Personal W G2 9999 Pleasure Cr UN NHH NP Monterey NCC MBU 3.70E+04 2.49E+03 9.25E+03 1.03E+00 1.85E+00 3.86E-01 8.25E+01 1.34E-03 7.55E-01 1.68E-02 6.38E-02 2030 Annual Mon-Sun 2.28E+09 Vessels w/I G4 250 Pleasure Cr UN NHH NP Monterey NCC MBU 3.75E+03 9.53E+02 5.27E+03 1.44E-01 6.33E+00 1.62E-01 4.04E+01 4.65E-04 3.86E-03 6.37E-03 7.56E-03 2030 Annual Mon-Sun 2.28E+09 Vessels w/O G4 50 Pleasure Cr UN NHH NP Monterey NCC MBU 3.79E+02 4.97E+01 6.98E+01 4.50E-03 1.24E-01 3.43E-03 4.62E-01 5.33E-06 4.42E-05 2.09E-04 2.36E-04 2030 Annual Mon-Sun 2.28E+09 Vessels w/S G4 250 Pleasure Cr UN NHH NP Monterey NCC MBU 8.19E+03 1.63E+03 6.65E+03 1.74E-01 7.83E+00 1.95E-01 5.12E+01 5.90E-04 4.90E-03 9.04E-03 9.10E-03 2030 Annual Mon-Sun 2.28E+09 Sailboat Au G4 15 Pleasure Cr UN NHH NP Monterey NCC MBU 6.02E+01 1.64E+00 7.00E-01 4.46E-05 1.24E-03 3.41E-05 4.64E-03 7.77E-08 4.44E-07 3.63E-06 2.33E-06 2030 Annual Mon-Sun 2.28E+09 Vessels w/I G4 500 Pleasure Cr UN NHH NP Monterey NCC MBU 7.27E+02 1.45E+02 9.51E+02 2.57E-02 1.13E+00 2.93E-02 7.30E+00 8.41E-05 6.98E-04 1.06E-03 1.35E-03 2030 Annual Mon-Sun 2.28E+09 Vessels w/I D 250 Pleasure Cr UN NHH NP Monterey NCC MBU 2.37E+02 6.03E+01 3.01E+02 1.78E-02 2.67E-02 6.08E-02 3.23E+00 3.63E-05 1.63E-03 0.00E+00 1.60E-03 2030 Annual Mon-Sun 2.28E+09 Sailboat Au D 50 Pleasure Cr UN NHH NP Monterey NCC MBU 7.23E+01 1.98E+00 1.09E+00 6.44E-05 9.68E-05 2.21E-04 1.17E-02 1.51E-07 5.89E-06 0.00E+00 5.81E-06 ITEM 10.1. ATTACHMENT 5

Natural Gas Activity Data
Source: PG&E
TOTCOUNTY TOTCITY YEAR CATEGORY RES GAS USE(THM) RES GAS CO2(metric t RES GAS 100 COM GAS AVG(THM) COM GAS USE(THM) COM GAS CO2(metric COM GAS 1515 IND GAS AVG(THM) IND GAS USE(THM) IND GAS CO2(metric toIND GAS 1515 SACRAMENTO RANCHO C 2005 (3) COUNTY 27,524 146
SACRAMENTO RANCHO C 2006 (3) COUNTY 23,644 125
SACRAMENTO RANCHO C 2007 (3) COUNTY 26 0 23,170 123
SACRAMENTO RANCHO C 2008 (3) COUNTY 50 0 20,511 109
SACRAMENTO RANCHO C 2009 (3) COUNTY 18,053 96
SACRAMENTO RANCHO C 2010 (3) COUNTY 124 1 13,940 74
SACRAMENTO RANCHO C 2011 (3) COUNTY 11,348 60
SACRAMENTO RANCHO C 2012 (3) COUNTY 10,178 54
SACRAMENTO RANCHO C 2013 (3) COUNTY 9,322 49
SACRAMENTO RANCHO C 2014 (3) COUNTY 5,648 30
SACRAMENTO RANCHO C 2015 (3) COUNTY 8,703 46
SACRAMENTO RANCHO C 2016 (3) COUNTY 9,146 49
SACRAMENTO RANCHO C 2017 (3) COUNTY 11,475 61
SACRAMENTO RANCHO C 2018 (3) COUNTY 8,774 47
SACRAMENTO RANCHO C 2019 (3) COUNTY 10 0 9,742 52
SACRAMENTO RANCHO C 2020 (3) COUNTY 9,792 52
SACRAMENTO RANCHO C 2005 (4) CITY 878 5
SACRAMENTO RANCHO C 2006 (4) CITY 10,558 56
SACRAMENTO RANCHO C 2007 (4) CITY 18,033 96
SACRAMENTO RANCHO C 2008 (4) CITY 1,255 7 23,442 124
SACRAMENTO RANCHO C 2009 (4) CITY 19,623 104
SACRAMENTO RANCHO C 2010 (4) CITY 17,180 91
SACRAMENTO RANCHO C 2011 (4) CITY 29,491 157
SACRAMENTO RANCHO C 2012 (4) CITY 43,419 230
SACRAMENTO RANCHO C 2013 (4) CITY 41,716 221
SACRAMENTO RANCHO C 2014 (4) CITY 43,506 231
SACRAMENTO RANCHO C 2015 (4) CITY 35,318 187
SACRAMENTO RANCHO C 2016 (4) CITY 32,410 172
SACRAMENTO RANCHO C 2017 (4) CITY 35,408 188
SACRAMENTO RANCHO C 2018 (4) CITY 34,379 182
SACRAMENTO RANCHO C 2019 (4) CITY 30,432 162
SACRAMENTO RANCHO C 2020 (4) CITY 28,162 149
SACRAMENTO RANCHO C 2005 (5) DISTRICT 185,663 985
SACRAMENTO RANCHO C 2006 (5) DISTRICT 226,585 1,203
SACRAMENTO RANCHO C 2007 (5) DISTRICT 258,266 1,371
SACRAMENTO RANCHO C 2008 (5) DISTRICT 202 1 235,740 1,251 SACRAMENTO RANCHO C 2009 (5) DISTRICT 598 3 224,574 1,192 SACRAMENTO RANCHO C 2010 (5) DISTRICT 741 4 206,369 1,095 SACRAMENTO RANCHO C 2011 (5) DISTRICT 634 3 172,144 914 SACRAMENTO RANCHO C 2012 (5) DISTRICT 367 2 153,464 814 SACRAMENTO RANCHO C 2013 (5) DISTRICT 353 2 157,650 837 SACRAMENTO RANCHO C 2014 (5) DISTRICT 306 2 135,115 717 SACRAMENTO RANCHO C 2015 (5) DISTRICT 355 2 158,170 839 SACRAMENTO RANCHO C 2016 (5) DISTRICT 499 3 160,940 854 SACRAMENTO RANCHO C 2017 (5) DISTRICT 556 3 200,686 1,065 SACRAMENTO RANCHO C 2018 (5) DISTRICT 571 3 216,601 1,150 SACRAMENTO RANCHO C 2019 (5) DISTRICT 623 3 218,084 1,157 SACRAMENTO RANCHO C 2020 (5) DISTRICT 631 3 190,687 1,012 SACRAMENTO RANCHO C 2005 NONGOVENT 7,565,764 40,152 PASS 3,744,199 19,871 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2006 NONGOVENT 8,213,592 43,590 PASS 3,742,297 19,861 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2007 NONGOVENT 8,313,909 44,123 PASS 3,650,704 19,375 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2008 NONGOVENT 8,534,719 45,294 PASS 3,670,532 19,480 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2009 NONGOVENT 8,712,211 46,236 PASS 3,555,924 18,872 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2010 NONGOVENT 8,699,075 46,167 PASS 3,420,298 18,152 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2011 NONGOVENT 9,464,074 50,227 PASS 3,521,972 18,691 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2012 NONGOVENT 8,764,024 46,511 PASS 3,251,473 17,256 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2013 NONGOVENT 8,751,983 46,448 PASS 3,381,261 17,945 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2014 NONGOVENT 7,425,447 39,407 PASS 2,992,161 15,880 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2015 NONGOVENT 7,825,333 41,530 PASS 3,160,480 16,773 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2016 NONGOVENT 8,082,673 42,895 PASS 3,338,007 17,715 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2017 NONGOVENT 8,616,919 45,731 PASS 3,618,429 19,203 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2018 NONGOVENT 8,837,632 46,902 PASS 3,444,960 18,283 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2019 NONGOVENT 9,082,001 48,199 PASS 3,654,085 19,393 PASS-COM ONLY FAIL-DROPPED SACRAMENTO RANCHO C 2020 NONGOVENT 9,015,316 47,845 PASS 3,189,441 16,927 PASS-COM ONLY FAIL-DROPPED ITEM 10.1. ATTACHMENT 5

Electricity Activity Data
Source: SMUD
rate_cat ind_code account_type sum_of_kwh2017 sum_of_kwh2018 sum_of_kwh2019 ASD 221310 Agricultural 7296 28683 0
ASD 221312 Agricultural 91312 12030 106112
ASN 221311 Agricultural 1978 2212 1734
ASN 221312 Agricultural 35797 27676 28991
ASN 221312 Agricultural 105 216 220
CITP-2 485111 Small Commercial 1993542 1935490 1918945
CITP-3 485111 Industrial 1486719 1472371 1542999
CITP-4 518210 Industrial 20971529 20462575 17749560
CITS-0 221122 Small Commercial 13 0 0
CITS-0 221310 Small Commercial 64238 47300 60002
CITS-0 221311 Small Commercial 21191 22045 19637
CITS-0 221311 Small Commercial 15578 13949 13128
CITS-0 221312 Small Commercial 27042 28588 31943
CITS-0 221312 Small Commercial 81 75 146
CITS-0 221320 Small Commercial 107352 87271 110558
CITS-0 221320 Small Commercial 5549 1237 1183
CITS-0 231543 Small Commercial 6407 7832 8414
CITS-0 236220 Small Commercial 5 0 3
CITS-0 322222 Small Commercial 7054 5937 5938
CITS-0 423210 Small Commercial 74615 77018 84029
CITS-0 423720 Small Commercial 0 0 46241
CITS-0 485111 Small Commercial 324049 326195 316603
CITS-0 488210 Small Commercial 1436 1447 1341
CITS-0 493110 Small Commercial 20466 32606 31123
CITS-0 524210 Small Commercial 152595 130276 85122
CITS-0 531110 Small Commercial 8992 10376 9557
CITS-0 531120 Small Commercial 39292 46843 43027
CITS-0 531120 Small Commercial 0 0 117
CITS-0 531130 Small Commercial 0 0 0
CITS-0 531190 Small Commercial 7907 5670 3823
CITS-0 531191 Small Commercial 38624 40745 38959
CITS-0 531191 Small Commercial 1203 2592 2328
CITS-0 541330 Small Commercial 13395 13026 12069
CITS-0 611110 Small Commercial 131663 135973 129617
CITS-0 611210 Small Commercial 0 0 0
CITS-0 611310 Small Commercial 3735 3745 3459
CITS-0 621111 Small Commercial 0 0 46718
CITS-0 624410 Small Commercial 85944 82206 73509
CITS-0 722110 Small Commercial 86690 80079 78863
CITS-0 722211 Small Commercial 0 0 0
CITS-0 811111 Small Commercial 20940 21876 24127
CITS-0 921190 Small Commercial 80650 75405 78194
CITS-0 921190 Small Commercial 27469 19707 19123
ITEM 10.1. ATTACHMENT 5

CITS-0 922120 Small Commercial 53035 53928 43188
CITS-0 922160 Small Commercial 26014 29775 38758
CITS-0 922190 Small Commercial 85629 76644 74731
CITS-0 923110 Small Commercial 96299 88560 89309
CITS-0 924110 Small Commercial 768 809 1364
CITS-0 925110 Small Commercial 6609 5120 4879
CITS-0 925190 Small Commercial 0 0 0
CITS-0 926120 Small Commercial 4565 3222 4529
CITS-0 926130 Small Commercial 22744 21675 23888
CITS-0 926130 Small Commercial 17 1 11
CITS-0 928120 Small Commercial 57659 44614 44012
CITS-1 221311 Small Commercial 343122 314824 267172
CITS-1 221320 Small Commercial 268475 263117 219751
CITS-1 238160 Small Commercial 0 38576 62406
CITS-1 485111 Small Commercial 110408 119669 106838
CITS-1 491110 Small Commercial 209984 232373 232826
CITS-1 524210 Small Commercial 577143 580675 494995
CITS-1 531120 Small Commercial 146875 142422 141218
CITS-1 531191 Small Commercial 1433081 1207508 1145335
CITS-1 551114 Small Commercial 0 271568 436952
CITS-1 561612 Small Commercial 0 152739 225989
CITS-1 611110 Small Commercial 5564555 5562245 5611943
CITS-1 611210 Small Commercial 325728 406870 415348
CITS-1 624110 Small Commercial 161782 180961 185713
CITS-1 722410 Small Commercial 194716 179684 193424
CITS-1 722513 Small Commercial 0 0 0
CITS-1 921110 Small Commercial 614743 589452 583507
CITS-1 921190 Small Commercial 0 51117 0
CITS-1 922130 Small Commercial 224553 246881 217871
CITS-1 922160 Small Commercial 406113 356071 326455
CITS-1 922190 Small Commercial 981963 1040087 991190
CITS-1 923110 Small Commercial 147742 144826 149160
CITS-1 924110 Small Commercial 94093 87570 100086
CITS-1 926120 Small Commercial 137200 143155 127636
CITS-1 926150 Small Commercial 118198 115233 121621
CITS-1 928110 Small Commercial 423351 390560 379850
CITS-2 221312 Small Commercial 0 0 0
CITS-2 524210 Small Commercial 996215 1028056 974323
CITS-2 611110 Small Commercial 874151 911226 950783
CITS-2 813110 Small Commercial 699355 662044 690847
CITS-2 922190 Small Commercial 0 1236073 2024069
CITS-2 924110 Small Commercial 2148994 2209900 2456504
CITS-2 926120 Small Commercial 1356288 1384097 1524059
GSN 221312 Small Commercial 2 0 0
GSN 231531 Small Commercial 3847 1159 0
GSN 236115 Small Commercial 0 140 124
GSN 238220 Small Commercial 405563 379988 343631
ITEM 10.1. ATTACHMENT 5

GSN 238320 Small Commercial 4951 6097 272
GSN 238330 Small Commercial 16583 15247 15376
GSN 238350 Small Commercial 5293 2368 2005
GSN 238390 Small Commercial 7056 10051 12842
GSN 311320 Small Commercial 83382 79622 73985
GSN 315210 Small Commercial 938 886 1076
GSN 423120 Small Commercial 12564 7639 8719
GSN 423130 Small Commercial 795400
GSN 423220 Small Commercial 19836 20785 23261
GSN 441221 Small Commercial 37176 29893 28089
GSN 441310 Small Commercial 22779 17563 16971
GSN 442110 Small Commercial 3966 3618 3663
GSN 444190 Small Commercial 110035 120243 116001
GSN 445210 Small Commercial 226409 233369 195754
GSN 515120 Small Commercial 10381 8913 8210
GSN 517110 Small Commercial 2902 2896 2903
GSN 517510 Small Commercial 6776 4679 4015
GSN 531110 Small Commercial 11894 10353 8517
GSN 531120 Small Commercial 82338 77127 70408
GSN 531191 Residential 279800
GSN 531191 Small Commercial 20702 23161 18739
GSN 541110 Small Commercial 353 1340
GSN 541320 Small Commercial 14677 13056 14212
GSN 541410 Small Commercial000
GSN 561710 Small Commercial 4769000
GSN 561730 Small Commercial 16359 18549 17025
GSN 621310 Small Commercial 72200
GSN 624229 Small Commercial0 59720
GSN 6531 Small Commercial 22665 17468 15388
GSN 722211 Small Commercial 115610 114484 112358
GSN 811111 Small Commercial 40136 38034 34423
GSN 811118 Small Commercial 10134 8215 9211
GSN 811121 Small Commercial 33746 27427 24189
GSN 811490 Small Commercial 14818 34030
GSN 813990 Small Commercial00 386
GSN RE1100 Residential 15676 15355 15856
GSN_T 111419 Small Commercial 49400
GSN_T 111421 Small Commercial 977 799 719
GSN_T 113310 Small Commercial 62651 60736 52301
GSN_T 115112 Small Commercial 13400 10805 12219
GSN_T 212322 Small Commercial 21763 23376 20471
GSN_T 213112 Small Commercial 49734 44973 46612
GSN_T 213113 Small Commercial 51462 47839 46497
GSN_T 221111 Small Commercial 13657 13239 14170
GSN_T 221119 Small Commercial 109814 94030 147212
GSN_T 221122 Small Commercial 6799 6814 5933
GSN_T 221210 Small Commercial 22064 22394 25513
ITEM 10.1. ATTACHMENT 5

GSN_T 221310 Small Commercial 39704 32394 25691
GSN_T 221311 Small Commercial 1447120 1800846 1341929
GSN_T 221312 Small Commercial 96326 83916 86112
GSN_T 221312 Small Commercial000
GSN_T 221320 Small Commercial 60881 60796 55232
GSN_T 231531 Small Commercial 34467 30043 25791
GSN_T 231543 Small Commercial 318189 320911 70727
GSN_T 236115 Small Commercial 77796 77662 79891
GSN_T 236116 Small Commercial 62842 60003 55764
GSN_T 236117 Small Commercial 8561 21698 23615
GSN_T 236118 Small Commercial 366995 355792 306593
GSN_T 236210 Small Commercial 290029 286836 344652
GSN_T 236220 Small Commercial 1056072 1005242 1043476
GSN_T 237130 Small Commercial 85581 87135 107911
GSN_T 237210 Small Commercial 70279 69192 66043
GSN_T 237310 Small Commercial 106488 104592 104805
GSN_T 237990 Small Commercial 14606 14684 15120
GSN_T 238110 Small Commercial 80528 77287 64675
GSN_T 238120 Small Commercial 22883 18904 18305
GSN_T 238130 Small Commercial 58257 41211 43488
GSN_T 238140 Small Commercial 154154 144684 145593
GSN_T 238150 Small Commercial 61975 57842 57590
GSN_T 238160 Small Commercial 180246 186102 179967
GSN_T 238190 Small Commercial 71650 88069 93334
GSN_T 238210 Small Commercial 498956 495081 560058
GSN_T 238220 Small Commercial 846275 813860 783560
GSN_T 238290 Small Commercial 121496 119591 139838
GSN_T 238310 Small Commercial 89965 76686 79790
GSN_T 238320 Small Commercial 150956 142086 142353
GSN_T 238330 Small Commercial 249314 232982 262417
GSN_T 238340 Small Commercial 170491 177549 194311
GSN_T 238350 Small Commercial 325087 299518 309110
GSN_T 238390 Small Commercial 42597 44011 41882
GSN_T 238910 Small Commercial 37674 45338 86751
GSN_T 238990 Small Commercial 161518 152820 159622
GSN_T 311119 Small Commercial 8182 7190 8179
GSN_T 311212 Small Commercial000
GSN_T 311520 Small Commercial 9185 82166 78740
GSN_T 311811 Small Commercial 52947 54709 56892
GSN_T 311812 Small Commercial 20839 20842 19857
GSN_T 311920 Small Commercial 7884 6396 6111
GSN_T 311991 Small Commercial 19648 8243 26719
GSN_T 312120 Small Commercial 70047 75485 93670
GSN_T 312140 Small Commercial 16516 22246 22399
GSN_T 313230 Small Commercial 281 5568 8725
GSN_T 314121 Small Commercial 44346 40554 43999
GSN_T 314911 Small Commercial 29163 27474 28694
ITEM 10.1. ATTACHMENT 5

GSN_T 314999 Small Commercial 14962 16552 13561
GSN_T 315190 Small Commercial 9243 45710
GSN_T 315210 Small Commercial 4799 4822 4386
GSN_T 316999 Small Commercial 2472 916 942
GSN_T 321911 Small Commercial 16206 11562 12648
GSN_T 321918 Small Commercial 32569 48026 60140
GSN_T 321999 Small Commercial 12678 4673 4593
GSN_T 322211 Small Commercial 22897 19022 17805
GSN_T 323110 Small Commercial 27616 30871 32190
GSN_T 323111 Small Commercial 44600 37876 31234
GSN_T 323113 Small Commercial 2023 69770
GSN_T 323114 Small Commercial 52602 81796 86055
GSN_T 323115 Small Commercial 128783 104923 108352
GSN_T 323119 Small Commercial 1938 2299 11846
GSN_T 323121 Small Commercial 8189 23555 34042
GSN_T 323122 Small Commercial 11348 10200 9908
GSN_T 324121 Small Commercial 1683 20614 52388
GSN_T 325199 Small Commercial 12760 9755 11439
GSN_T 325311 Small Commercial 129700
GSN_T 325312 Small Commercial 20130 18434 7020
GSN_T 325510 Small Commercial 16425 14933 14728
GSN_T 325611 Small Commercial 6666 6195 6621
GSN_T 325620 Small Commercial 40062 43132 43991
GSN_T 326199 Small Commercial 192387 201176 191164
GSN_T 326211 Small Commercial 6685 3719 9503
GSN_T 326299 Small Commercial 12067 8794 9402
GSN_T 327112 Small Commercial 2873 5343 6325
GSN_T 327122 Small Commercial 7837 7460 10705
GSN_T 327212 Small Commercial 9096 9403 9585
GSN_T 327215 Small Commercial 12252 14128 16153
GSN_T 327320 Small Commercial 36221 34074 29965
GSN_T 327331 Small Commercial00 1181
GSN_T 327390 Small Commercial 5261 4517 4650
GSN_T 327991 Small Commercial 33588 9893 42330
GSN_T 331111 Small Commercial 76290 144143 152572
GSN_T 331491 Small Commercial 2936 4175 3962
GSN_T 332212 Small Commercial 20365 35783 41205
GSN_T 332311 Small Commercial 25855 26734 25711
GSN_T 332312 Small Commercial 49123 48151 45358
GSN_T 332321 Small Commercial 1130 919 700
GSN_T 332322 Small Commercial 146219 176657 167527
GSN_T 332323 Small Commercial 76007 75496 69147
GSN_T 332431 Small Commercial 29388 37142 28861
GSN_T 332618 Small Commercial 44829 16535 47689
GSN_T 332710 Small Commercial 212950 235483 211743
GSN_T 332721 Small Commercial 3502 2081 2758
GSN_T 332812 Small Commercial 34495 38009 47641
ITEM 10.1. ATTACHMENT 5

GSN_T 332992 Small Commercial 8949 10766 11435
GSN_T 332999 Small Commercial 34230 39467 52963
GSN_T 333111 Small Commercial 31917 24406 21310
GSN_T 333120 Small Commercial 200 403 4104
GSN_T 333131 Small Commercial 15300
GSN_T 333210 Small Commercial 5645 2694 704
GSN_T 333294 Small Commercial 25097 21579 21367
GSN_T 333298 Small Commercial 6824 31296 27490
GSN_T 333318 Small Commercial 10689 9849 9211
GSN_T 333319 Small Commercial 31952 31946 28077
GSN_T 333414 Small Commercial 28445 28412 33292
GSN_T 333415 Small Commercial 64726 58366 54306
GSN_T 333511 Small Commercial 16383 16505 14139
GSN_T 333512 Small Commercial 29146 27671 24904
GSN_T 333515 Small Commercial 7598 9454 13743
GSN_T 333618 Small Commercial 2063 1452 1291
GSN_T 333911 Small Commercial 45 67 60
GSN_T 333921 Small Commercial 20736 17127 15922
GSN_T 333923 Small Commercial 46999 43960 39090
GSN_T 333991 Small Commercial 15299 15142 14404
GSN_T 333992 Small Commercial 7573 5767 7700
GSN_T 334111 Small Commercial 52197 58618 74425
GSN_T 334220 Small Commercial 162888 85442 89750
GSN_T 334413 Small Commercial 116550 98107 56433
GSN_T 334418 Small Commercial 28922 31131 31229
GSN_T 334510 Small Commercial 49578 35215 40685
GSN_T 334515 Small Commercial 57926 56404 59008
GSN_T 335110 Small Commercial 55282 54298 52749
GSN_T 335121 Small Commercial 17874 16573 15244
GSN_T 335122 Small Commercial 1631 2691 2353
GSN_T 335129 Small Commercial 27692 26586 24162
GSN_T 335221 Small Commercial 10696 25915 24083
GSN_T 335991 Small Commercial 7347 7371 10332
GSN_T 336211 Small Commercial 154391 133305 94502
GSN_T 336312 Small Commercial 104638 91134 91461
GSN_T 336330 Small Commercial 11608 10462 5608
GSN_T 336340 Small Commercial 64765 61314 34766
GSN_T 336360 Small Commercial 61291 44247 19399
GSN_T 336399 Small Commercial 51715 20477 13661
GSN_T 336413 Small Commercial 12788 11727 10411
GSN_T 336991 Small Commercial 7497 3605 2362
GSN_T 336999 Small Commercial 11960 14425 12548
GSN_T 337110 Small Commercial 335772 322329 313610
GSN_T 337122 Small Commercial 17917 19319 19702
GSN_T 337124 Small Commercial 48283 52683 66182
GSN_T 337127 Small Commercial 13877 22043 27197
GSN_T 337129 Small Commercial 10394 9656 10733
ITEM 10.1. ATTACHMENT 5

GSN_T 337212 Small Commercial 1557 6070 17387
GSN_T 339112 Small Commercial000
GSN_T 339113 Small Commercial 61179 59789 60041
GSN_T 339114 Small Commercial 10198 7765 6392
GSN_T 339115 Small Commercial000
GSN_T 339116 Small Commercial 18928 18379 16475
GSN_T 339914 Small Commercial 24499 24848 13192
GSN_T 339920 Small Commercial 38714 35731 33980
GSN_T 339942 Small Commercial 33447 29603 9898
GSN_T 339950 Small Commercial 172980 177237 185320
GSN_T 339999 Small Commercial 30239 25291 23395
GSN_T 423110 Small Commercial 18290 38305 45684
GSN_T 423120 Small Commercial 161935 152085 149650
GSN_T 423130 Small Commercial 23583 22042 22780
GSN_T 423140 Small Commercial 175197 159525 160364
GSN_T 423210 Small Commercial 208699 218374 282320
GSN_T 423220 Small Commercial 68976 85170 83866
GSN_T 423310 Small Commercial 45555 42044 50319
GSN_T 423320 Small Commercial 102283 79128 63795
GSN_T 423390 Small Commercial 97517 81547 68192
GSN_T 423420 Small Commercial 45105 46219 41205
GSN_T 423430 Small Commercial 14869 17886 8663
GSN_T 423450 Small Commercial 99780 99308 106127
GSN_T 423490 Small Commercial 4694 4394 3910
GSN_T 423510 Small Commercial 25096 23136 23548
GSN_T 423610 Small Commercial 288562 284566 282056
GSN_T 423620 Small Commercial 9563 6932 7189
GSN_T 423690 Small Commercial 53774 52653 48418
GSN_T 423710 Small Commercial 42989 47568 54200
GSN_T 423720 Small Commercial 210900 164160 107523
GSN_T 423730 Small Commercial 64183 54399 56282
GSN_T 423740 Small Commercial 72617 84459 76275
GSN_T 423820 Small Commercial 32182 32070 30811
GSN_T 423830 Small Commercial 171929 160096 147339
GSN_T 423850 Small Commercial 57115 51380 59104
GSN_T 423860 Small Commercial 17730 15933 13654
GSN_T 423910 Small Commercial 101339 96324 98869
GSN_T 423920 Small Commercial 19126 18240 13169
GSN_T 423930 Small Commercial 500114 488003 496676
GSN_T 423990 Small Commercial0 672 10753
GSN_T 424120 Small Commercial 92428 98744 109533
GSN_T 424130 Small Commercial 36089 31947 33028
GSN_T 424410 Small Commercial 3989 4026 3068
GSN_T 424420 Small Commercial 6987 5997 3822
GSN_T 424430 Small Commercial 64205 70385 58896
GSN_T 424490 Small Commercial 13052 15299 16299
GSN_T 424690 Small Commercial 13846 11134 10611
ITEM 10.1. ATTACHMENT 5

GSN_T 424710 Small Commercial 61415 48919 47376
GSN_T 424720 Small Commercial 24349 23668 24478
GSN_T 424810 Small Commercial 8618 16568 15650
GSN_T 424820 Small Commercial 9277 11414 18673
GSN_T 424910 Small Commercial 18569 17632 17051
GSN_T 424930 Small Commercial 16627 18662 26379
GSN_T 424950 Small Commercial 31086 32664 25062
GSN_T 424990 Small Commercial 9398 11147 12403
GSN_T 425120 Small Commercial 2504 526 1195
GSN_T 441110 Small Commercial 45807 42714 39594
GSN_T 441120 Small Commercial 299308 338434 279071
GSN_T 441210 Small Commercial 54935 45199 1720
GSN_T 441221 Small Commercial 12705 11829 10405
GSN_T 441222 Small Commercial 183333 152248 139536
GSN_T 441228 Small Commercial 9209 10431 10329
GSN_T 441229 Small Commercial 2048 1355 4502
GSN_T 441310 Small Commercial 921506 894207 872687
GSN_T 441320 Small Commercial 35315 39179 33274
GSN_T 442110 Small Commercial 425906 389675 451018
GSN_T 442210 Small Commercial 90905 86902 149100
GSN_T 442291 Small Commercial 21122 21928 25308
GSN_T 442299 Small Commercial 60300 102802 92203
GSN_T 443111 Small Commercial 12636 3382 4304
GSN_T 443112 Small Commercial 202811 255349 255284
GSN_T 443120 Small Commercial 191488 182346 161169
GSN_T 443142 Small Commercial 369 368 706
GSN_T 444110 Small Commercial 218129 194330 208100
GSN_T 444120 Small Commercial 133731 119459 109079
GSN_T 444130 Small Commercial 85680 84979 85813
GSN_T 444190 Small Commercial 461296 465624 464934
GSN_T 444210 Small Commercial 61720 65384 71122
GSN_T 444220 Small Commercial 8644 7966 7464
GSN_T 445110 Small Commercial 288628 263209 258982
GSN_T 445120 Small Commercial 157678 152214 134711
GSN_T 445210 Small Commercial 85227 71736 71694
GSN_T 445292 Small Commercial 87841 72734 65727
GSN_T 445299 Small Commercial 7348 7416 8237
GSN_T 445310 Small Commercial 325180 323777 333401
GSN_T 446110 Small Commercial 7438 2807 6565
GSN_T 446120 Small Commercial 109628 105209 106275
GSN_T 446191 Small Commercial 33003 26861 17974
GSN_T 446199 Small Commercial 47 1459 1389
GSN_T 447110 Small Commercial 120634 46206 46076
GSN_T 447190 Small Commercial 97920 79803 66063
GSN_T 448120 Small Commercial 2037 8150 11173
GSN_T 448140 Small Commercial 41939 50736 48843
GSN_T 448150 Small Commercial 31268 33440 33380
ITEM 10.1. ATTACHMENT 5

GSN_T 448190 Small Commercial 56015 63533 61528
GSN_T 448310 Small Commercial 44839 50319 51344
GSN_T 451110 Small Commercial 158836 166210 174313
GSN_T 451120 Small Commercial 102739 99963 104092
GSN_T 451130 Small Commercial 88806 80147 74563
GSN_T 452110 Small Commercial 201 217 188
GSN_T 452111 Small Commercial 28989 31323 3902
GSN_T 452112 Small Commercial 44884 49483 54574
GSN_T 452311 Small Commercial 30425 31627 41485
GSN_T 452910 Small Commercial 20591 14344 17533
GSN_T 452990 Small Commercial 54624 47310 54400
GSN_T 453110 Small Commercial 62874 63374 67703
GSN_T 453210 Small Commercial 374834 351836 336626
GSN_T 453220 Small Commercial 51010 42279 28380
GSN_T 453310 Small Commercial 502864 451381 432584
GSN_T 453910 Small Commercial 63504 115232 100371
GSN_T 453991 Small Commercial 67639 63741 99679
GSN_T 453998 Small Commercial 106324 98495 89932
GSN_T 454110 Small Commercial 13724 14303 6846
GSN_T 454111 Small Commercial 85132 112766 124608
GSN_T 454112 Small Commercial 5330 6832 6194
GSN_T 454113 Small Commercial 5287 4496 10048
GSN_T 454210 Small Commercial 374 416 1236
GSN_T 454312 Small Commercial 85651 87409 91964
GSN_T 454390 Small Commercial 18768 12945 13240
GSN_T 481111 Small Commercial 5980 1002 2100
GSN_T 482111 Small Commercial 7961 8026 8497
GSN_T 484210 Small Commercial 66632 62668 62133
GSN_T 485320 Small Commercial 8677 8144 7172
GSN_T 486210 Small Commercial 12324 12278 17990
GSN_T 488310 Small Commercial 32459 26313 28349
GSN_T 488410 Small Commercial 113811 119544 113079
GSN_T 488510 Small Commercial 50528 51860 59865
GSN_T 492210 Small Commercial 21161 14179 14019
GSN_T 493110 Small Commercial 1045235 1032369 1106413
GSN_T 493120 Small Commercial 2776 3595 3286
GSN_T 493190 Small Commercial 102441 96122 81898
GSN_T 512110 Small Commercial 20262 15820 15415
GSN_T 512240 Small Commercial 3380 801 10333
GSN_T 515112 Small Commercial00 22
GSN_T 516110 Small Commercial 19756 35005 28829
GSN_T 517110 Small Commercial 1112956 1132596 1114688
GSN_T 517212 Small Commercial 1800594 1792468 1995088
GSN_T 517312 Small Commercial 15917 15474 14526
GSN_T 517410 Small Commercial000
GSN_T 517510 Small Commercial 491368 530590 536153
GSN_T 517910 Small Commercial 12869 14317 11099
ITEM 10.1. ATTACHMENT 5

GSN_T 517911 Small Commercial 12355 10604 10838
GSN_T 518210 Small Commercial 2539889 3908925 5421556
GSN_T 521110 Small Commercial 8795 10542 10247
GSN_T 522110 Small Commercial 105440 84229 86030
GSN_T 522120 Small Commercial 81801 94719 96799
GSN_T 522130 Small Commercial 136079 146518 159665
GSN_T 522220 Small Commercial 15558 35946 38809
GSN_T 522291 Small Commercial 88313 87992 79868
GSN_T 522292 Small Commercial 72511 80020 69211
GSN_T 522310 Small Commercial 3423 3217 3509
GSN_T 522320 Small Commercial 32014 28673 31529
GSN_T 522390 Small Commercial 58633 52435 55903
GSN_T 523910 Small Commercial 4503 3926 3144
GSN_T 523930 Small Commercial 35568 37396 36692
GSN_T 524113 Small Commercial 73111 74032 82739
GSN_T 524126 Small Commercial 10382 8213 8387
GSN_T 524210 Small Commercial 461838 456106 458416
GSN_T 524291 Small Commercial 28710 9549 10121
GSN_T 531110 Small Commercial 2938344 2830364 2747121
GSN_T 531120 Small Commercial 4783716 4472027 4312109
GSN_T 531120 Small Commercial 297 225 20
GSN_T 531123 Small Commercial 118151 116072 111926
GSN_T 531130 Small Commercial 502543 445684 411554
GSN_T 531190 Small Commercial 896742 900397 900545
GSN_T 531191 Small Commercial 4412892 4154551 4072993
GSN_T 531210 Small Commercial 278248 395136 420078
GSN_T 531311 Small Commercial 102406 105921 92622
GSN_T 531312 Small Commercial 369993 296021 310168
GSN_T 531390 Small Commercial 14073 8974 13176
GSN_T 532111 Small Commercial 161417 155391 159010
GSN_T 532120 Small Commercial 2320 1743 1101
GSN_T 532210 Small Commercial 15151 10077 4177
GSN_T 532292 Small Commercial 82 4218 4063
GSN_T 532299 Small Commercial 5905 3114 2048
GSN_T 532310 Small Commercial 52070 50347 41450
GSN_T 532412 Small Commercial 51232 54632 48040
GSN_T 532420 Small Commercial 133976 123602 153686
GSN_T 532490 Small Commercial 12942 13953 16025
GSN_T 533110 Small Commercial 8472 65532 110125
GSN_T 541110 Small Commercial 199334 237637 225039
GSN_T 541191 Small Commercial 66075 62969 63502
GSN_T 541211 Small Commercial 471095 436037 323304
GSN_T 541213 Small Commercial 8737 8169 12062
GSN_T 541219 Small Commercial 34411 22211 23052
GSN_T 541310 Small Commercial 134285 147618 153104
GSN_T 541320 Small Commercial 73471 65208 67181
GSN_T 541330 Small Commercial 499190 501151 490129
ITEM 10.1. ATTACHMENT 5

GSN_T 541350 Small Commercial 17815 14229 12425
GSN_T 541370 Small Commercial 8600 8292 8314
GSN_T 541380 Small Commercial 134773 126787 113769
GSN_T 541410 Small Commercial 26048 19560 18790
GSN_T 541420 Small Commercial 42994 10210 72304
GSN_T 541430 Small Commercial 94220 91873 74400
GSN_T 541511 Small Commercial 118480 125098 118907
GSN_T 541512 Small Commercial 121903 106807 107107
GSN_T 541611 Small Commercial 45053 28338 40474
GSN_T 541613 Small Commercial 37953 36891 43867
GSN_T 541614 Small Commercial 42059 33569 35885
GSN_T 541618 Small Commercial 11816 4210 1001
GSN_T 541620 Small Commercial 136541 148335 176260
GSN_T 541690 Small Commercial 134288 109145 111636
GSN_T 541710 Small Commercial 63151 56820 56740
GSN_T 541810 Small Commercial 25422 26490 29932
GSN_T 541811 Small Commercial 4809 3677 3838
GSN_T 541850 Small Commercial 93700 91645 103239
GSN_T 541860 Small Commercial 2830 3036 2605
GSN_T 541870 Small Commercial 31127 49482 52711
GSN_T 541890 Small Commercial 10562 19938 20147
GSN_T 541921 Small Commercial 14924 13249 14180
GSN_T 541922 Small Commercial 18099 16296 5016
GSN_T 541940 Small Commercial 295436 280304 237267
GSN_T 541990 Small Commercial 5524 22067 38698
GSN_T 551114 Small Commercial 211712 237860 190136
GSN_T 561110 Small Commercial 311158 257590 224530
GSN_T 561320 Small Commercial0 20986 22116
GSN_T 561431 Small Commercial 58501 83303 70952
GSN_T 561439 Small Commercial 86596 80422 86753
GSN_T 561440 Small Commercial 57481 58037 55081
GSN_T 561491 Small Commercial 18417 10860 13155
GSN_T 561510 Small Commercial 31171 26634 27400
GSN_T 561612 Small Commercial 97363 82869 79411
GSN_T 561621 Small Commercial 196229 172168 160279
GSN_T 561710 Small Commercial 326079 256322 277525
GSN_T 561720 Small Commercial 78332 73148 75759
GSN_T 561730 Small Commercial 213548 188128 231851
GSN_T 561740 Small Commercial 5143 4873 4124
GSN_T 561790 Small Commercial 71013 58281 71654
GSN_T 561910 Small Commercial 40618 37089 36684
GSN_T 562111 Small Commercial 37412 40038 55621
GSN_T 562119 Small Commercial 52107 45575 44269
GSN_T 562213 Small Commercial000
GSN_T 562910 Small Commercial 54450 88272 158945
GSN_T 611110 Small Commercial 75619 59000 67282
GSN_T 611111 Small Commercial 8389 6922 6841
ITEM 10.1. ATTACHMENT 5

GSN_T 611113 Small Commercial 18947 17865 20914
GSN_T 611117 Small Commercial000
GSN_T 611210 Small Commercial 16947 15218 17498
GSN_T 611310 Small Commercial 17098 13259 18632
GSN_T 611420 Small Commercial 51488 51266 46314
GSN_T 611513 Small Commercial 55049 42440 63491
GSN_T 611610 Small Commercial 6022 3454 3352
GSN_T 611620 Small Commercial 323626 286913 311397
GSN_T 611691 Small Commercial 14260 8838 5080
GSN_T 621111 Small Commercial 245171 245311 240003
GSN_T 621112 Small Commercial 105697 115965 123776
GSN_T 621210 Small Commercial 540772 524457 514973
GSN_T 621310 Small Commercial 36249 36559 37062
GSN_T 621320 Small Commercial 70170 79856 67586
GSN_T 621330 Small Commercial 35253 39392 52518
GSN_T 621340 Small Commercial 84838 120337 149350
GSN_T 621399 Small Commercial 23573 23535 26854
GSN_T 621420 Small Commercial 5350 2635 2490
GSN_T 621493 Small Commercial 41951 37081 19903
GSN_T 621498 Small Commercial 16468 17892 16262
GSN_T 621511 Small Commercial 20415 20754 18614
GSN_T 621512 Small Commercial 43123 42701 42650
GSN_T 621610 Small Commercial 8291 20023 25533
GSN_T 621910 Small Commercial 86064 115197 124831
GSN_T 621991 Small Commercial 41850 40770
GSN_T 621999 Small Commercial 13844 16728 22423
GSN_T 622110 Small Commercial 21152 20796 29610
GSN_T 622210 Small Commercial 29513 28197 30599
GSN_T 622310 Small Commercial 5685 13086 27966
GSN_T 623110 Small Commercial 32001 31700 34293
GSN_T 623210 Small Commercial 1943 3963 5081
GSN_T 623220 Small Commercial 59463 52121 46614
GSN_T 623311 Small Commercial 12472 16595 32343
GSN_T 623312 Small Commercial 65407 57637 63532
GSN_T 623990 Small Commercial 4755 2834 4118
GSN_T 624110 Small Commercial 63805 41650 43386
GSN_T 624110 Small Commercial000
GSN_T 624120 Small Commercial0 26654 46505
GSN_T 624190 Small Commercial 99717 93539 93539
GSN_T 624230 Small Commercial 23253 18863 18442
GSN_T 624310 Small Commercial 28817 26657 28299
GSN_T 624410 Small Commercial 218338 229188 234427
GSN_T 711110 Small Commercial 60883 63855 71792
GSN_T 711120 Small Commercial 1455 9027 7124
GSN_T 711211 Small Commercial 20705 23111 22549
GSN_T 711212 Small Commercial 3759 8913 8860
GSN_T 711219 Small Commercial 913 24 325
ITEM 10.1. ATTACHMENT 5

GSN_T 711310 Small Commercial 60862 51032 26731
GSN_T 711320 Small Commercial 9506 10859 14312
GSN_T 711510 Small Commercial 378 378 393
GSN_T 712190 Small Commercial 32627 78907 79903
GSN_T 713110 Small Commercial 169 228 1344
GSN_T 713120 Small Commercial 4600 8825 14050
GSN_T 713210 Small Commercial 18736 19659 20356
GSN_T 713940 Small Commercial 918171 891984 905482
GSN_T 713990 Small Commercial 337328 372034 398824
GSN_T 721110 Small Commercial 5852 43366 37373
GSN_T 721310 Small Commercial 68292 68249 67663
GSN_T 722110 Small Commercial 1052398 1056702 1188286
GSN_T 722211 Small Commercial 811956 729844 864622
GSN_T 722213 Small Commercial 120462 149452 189482
GSN_T 722320 Small Commercial 63277 70188 60933
GSN_T 722410 Small Commercial 191962 167605 144369
GSN_T 722511 Small Commercial 448466 526665 480252
GSN_T 722513 Small Commercial 89295 92931 109889
GSN_T 722515 Small Commercial 216634 254055 245113
GSN_T 811111 Small Commercial 1018778 1039484 1003048
GSN_T 811112 Small Commercial 36634 34878 36327
GSN_T 811113 Small Commercial 51469 53498 45216
GSN_T 811118 Small Commercial 36064 49779 38431
GSN_T 811121 Small Commercial 658940 646849 628952
GSN_T 811122 Small Commercial 51702 47011 44209
GSN_T 811191 Small Commercial 49760 48380 49939
GSN_T 811192 Small Commercial 151463 91906 95081
GSN_T 811198 Small Commercial 86173 100865 128219
GSN_T 811211 Small Commercial 96412 75796 76490
GSN_T 811212 Small Commercial 48895 24503 21713
GSN_T 811213 Small Commercial 10857 10920 27766
GSN_T 811219 Small Commercial 42421 36448 36858
GSN_T 811310 Small Commercial 56879 56088 61410
GSN_T 811411 Small Commercial 39094 62461 94102
GSN_T 811412 Small Commercial 113297 103952 105608
GSN_T 811420 Small Commercial 53731 46214 45421
GSN_T 811490 Small Commercial 40704 39423 38628
GSN_T 812111 Small Commercial 54871 48149 50260
GSN_T 812112 Small Commercial 324189 310730 309730
GSN_T 812113 Small Commercial 181375 176724 187626
GSN_T 812199 Small Commercial 53839 66194 79594
GSN_T 812310 Small Commercial 378459 369303 361402
GSN_T 812320 Small Commercial 43144 45861 42996
GSN_T 812331 Small Commercial 14272 15731 17278
GSN_T 812332 Small Commercial 222 6190 12399
GSN_T 812910 Small Commercial 62921 59663 33505
GSN_T 812930 Small Commercial 84726 67723 77256
ITEM 10.1. ATTACHMENT 5

GSN_T 812931 Small Commercial 10913 10235 10525
GSN_T 812990 Small Commercial 223377 213052 208502
GSN_T 813110 Small Commercial 977868 916777 948483
GSN_T 813219 Small Commercial 7778 7769 7318
GSN_T 813319 Small Commercial 20212 20771 20003
GSN_T 813410 Small Commercial 10409 9547 9109
GSN_T 813910 Small Commercial 200244 186401 178958
GSN_T 813920 Small Commercial 97193 107765 114405
GSN_T 813930 Small Commercial 4023 9044 8350
GSN_T 813940 Small Commercial 9181 8266 8246
GSN_T 813990 Small Commercial 4167 8720 4543
GSN_T 814110 Small Commercial 6742 8785 16455
GSN_T 921190 Small Commercial 229060 148574 120882
GSN_T 922160 Small Commercial 97710 86191 73284
GSN_T 922610 Small Commercial 7883 7316 4900
GSN_T 922612 Small Commercial 9615 10086 10825
GSN_T 922700 Small Commercial 18082 16537 15657
GSN_T 923110 Small Commercial 104455 43963 57739
GSN_T 923130 Small Commercial 59139 52398 47832
GSN_T 923140 Small Commercial 58073 37502 33250
GSN_T 924120 Small Commercial 91667 99761 87525
GSN_T 925110 Small Commercial 479 502 2917
GSN_T 925120 Small Commercial 148510 128087 84272
GSN_T 925190 Small Commercial000
GSN_T 926110 Small Commercial 32250 43711 42829
GSN_T 928110 Small Commercial 14382 39209 27025
GSN_T 928120 Small Commercial 23242 48218 42269
GSN_T CB0000 Small Commercial 22298 21121 31665
GSN_T RE1000 Small Commercial 32051 32268 39420
GSN_T RE1100 Small Commercial 26507 17678 11409
GSP_S 485111 Industrial 189496 196309 204907
GSS_S 221311 Industrial 136805 93558 45735
GSS_S 447110 Industrial 282017 300465 292361
GSS_S 621210 Industrial 108007 105139 94996
GSS_S2 238150 Residential 6796 6048 5850
GSS_T 212312 Industrial 104098 182278 167847
GSS_T 213112 Industrial 111989 47885 98875
GSS_T 221310 Industrial 1017590 1109633 991671
GSS_T 221311 Industrial 3456035 3301545 2942271
GSS_T 221312 Industrial 164117 150906 233265
GSS_T 231543 Industrial 791004 894983 1084307
GSS_T 236210 Industrial 158070 146058 163118
GSS_T 236220 Industrial 708767 495044 570236
GSS_T 237110 Industrial 642941 731368 312317
GSS_T 237130 Industrial 140023 143922 150675
GSS_T 237210 Industrial 267883 257392 187278
GSS_T 238110 Industrial 216475 204046 175248
ITEM 10.1. ATTACHMENT 5

GSS_T 238160 Industrial 264118 81637 74806
GSS_T 238210 Industrial 3660254 2346476 2381412
GSS_T 238220 Industrial 433276 494688 700200
GSS_T 238320 Industrial 123887 120365 126204
GSS_T 238330 Industrial 91874 84709 78775
GSS_T 238340 Industrial 254329 267724 259771
GSS_T 238350 Industrial 120528 120487 120585
GSS_T 238390 Industrial 376069 331460 358454
GSS_T 311212 Industrial0 696 45871
GSS_T 311991 Industrial 126615 121260 116040
GSS_T 312120 Industrial 87786 97254 74604
GSS_T 322211 Industrial 277793 304226 330266
GSS_T 323110 Industrial 513736 669556 681933
GSS_T 323113 Industrial 156775 49428 52798
GSS_T 325620 Industrial 65297 84244 89714
GSS_T 326140 Industrial 160911 176405 177680
GSS_T 327320 Industrial 299687 395609 395231
GSS_T 331111 Industrial 141966 208303 216589
GSS_T 332322 Industrial 70844 86590 89053
GSS_T 332710 Industrial 403750 370138 401143
GSS_T 333294 Industrial 50193 66710 74956
GSS_T 333511 Industrial 636777 580995 645687
GSS_T 333921 Industrial 1070533 1030754 1080092
GSS_T 333992 Industrial 176417 196773 206294
GSS_T 333999 Industrial 794431 728398 526802
GSS_T 334111 Industrial 328533 398891 422873
GSS_T 334413 Industrial 324031 317083 369016
GSS_T 334515 Industrial 53826 149191 154348
GSS_T 335122 Industrial0 4772 75397
GSS_T 335929 Industrial 439975 462690 513089
GSS_T 336111 Industrial 129241 126662 134036
GSS_T 336413 Industrial 85529 92377 111250
GSS_T 336415 Industrial 2236271 2201485 2092727
GSS_T 337110 Industrial 340036 339374 364863
GSS_T 337124 Industrial 92328 85013 85547
GSS_T 337127 Industrial 113397 132012 161982
GSS_T 339113 Industrial 2002935 1652560 1603873
GSS_T 339115 Industrial 134126 132771 125207
GSS_T 423110 Industrial 1657 12920
GSS_T 423120 Industrial 271722 266764 268812
GSS_T 423140 Industrial 89621 94225 65493
GSS_T 423210 Industrial 44484 124254 20038
GSS_T 423320 Industrial 133995 120801 105140
GSS_T 423440 Industrial 180988 159972 147500
GSS_T 423450 Industrial 350491 347691 381331
GSS_T 423620 Industrial 109934 119736 116434
GSS_T 423690 Industrial 146006 146369 132856
ITEM 10.1. ATTACHMENT 5

GSS_T 423720 Industrial
0 39869 60339
GSS_T 423930 Industrial 701527 832697 755121
GSS_T 423990 Industrial 240744 204694 153071
GSS_T 424410 Industrial 1040949 858899 1517866
GSS_T 424490 Industrial 561333 472093 545866
GSS_T 424820 Industrial 2438100
GSS_T 425110 Industrial 199987 233566 272722
GSS_T 425120 Industrial 401390 377806 361395
GSS_T 441110 Industrial 156927 143138 149733
GSS_T 441120 Industrial 225930 206800 265154
GSS_T 441210 Industrial 233407 241199 250124
GSS_T 441310 Industrial 705833 685065 610298
GSS_T 441320 Industrial 275991 244771 232568
GSS_T 442110 Industrial 1748110 1829858 1655876
GSS_T 442210 Industrial 201587 191837 129970
GSS_T 442291 Industrial 239163 196553 200098
GSS_T 443112 Industrial 95812 92193 101645
GSS_T 444110 Industrial 1012170 979276 953776
GSS_T 444130 Industrial 1574831 1127511 1178175
GSS_T 444190 Industrial 1370113 1320724 1327420
GSS_T 445110 Industrial 3450691 3616346 3759120
GSS_T 445120 Industrial 825047 832526 829635
GSS_T 445310 Industrial 395384 382455 389574
GSS_T 446110 Industrial 745634 726625 697964
GSS_T 446120 Industrial000
GSS_T 446130 Industrial 197040 162589 190413
GSS_T 447110 Industrial 2724120 2976037 2927432
GSS_T 447190 Industrial 122317 123201 120331
GSS_T 448140 Industrial 589794 588331 584033
GSS_T 448190 Industrial 80822 74510 77583
GSS_T 448210 Industrial 145374 161543 160926
GSS_T 451110 Industrial 314211 276024 277108
GSS_T 451120 Industrial 300944 284548 304037
GSS_T 452110 Industrial 373225 354672 356554
GSS_T 452111 Industrial 192955 159799 113509
GSS_T 452311 Industrial 5601900
GSS_T 452319 Industrial 997251 985134 1004523
GSS_T 452990 Industrial 326102 316965 332698
GSS_T 453210 Industrial 1640663 1561166 1589043
GSS_T 453220 Industrial 123682 114119 114554
GSS_T 453310 Industrial 989738 971723 976392
GSS_T 453910 Industrial 634120 630149 625409
GSS_T 453998 Industrial 343100 302388 307470
GSS_T 454111 Industrial 347344 329517 311686
GSS_T 482111 Industrial 130026 132240 127148
GSS_T 486110 Industrial 493510 492021 460378
GSS_T 492110 Industrial 308238 313610 336936
ITEM 10.1. ATTACHMENT 5

GSS_T 493110 Industrial 1000921 1061773 1276659
GSS_T 493190 Industrial 65027 56331 62779
GSS_T 517110 Industrial 891822 944546 944173
GSS_T 517212 Industrial 281223 274933 329504
GSS_T 518111 Industrial 1129605 1099128 1318148
GSS_T 518210 Industrial000
GSS_T 522110 Industrial 238481 237722 192924
GSS_T 522120 Industrial00 43738
GSS_T 522130 Industrial 102150 104456 101340
GSS_T 522292 Industrial 552838 486541 547473
GSS_T 522298 Industrial 827987 772179 797804
GSS_T 524114 Industrial 1994497 1855650 1797480
GSS_T 524126 Industrial 1749828 1787307 1962768
GSS_T 524210 Industrial 284825 225232 275296
GSS_T 531110 Industrial 175878 209965 192885
GSS_T 531120 Industrial 12138064 11025858 11836159
GSS_T 531123 Industrial 2788503 2361291 2262284
GSS_T 531130 Industrial 109524 149074 280168
GSS_T 531190 Industrial 775846 936036 980102
GSS_T 531191 Industrial 11215036 10149657 9762527
GSS_T 531210 Industrial 2260840 1833506 1771474
GSS_T 531312 Industrial 2904988 2461763 2359888
GSS_T 533110 Industrial 1054 100803 119487
GSS_T 541219 Industrial 334224 431647 332706
GSS_T 541310 Industrial 74079 75031 77668
GSS_T 541380 Industrial 624576 616697 623341
GSS_T 541420 Industrial 501629 625865 535995
GSS_T 541512 Industrial 2016790 2011528 2002972
GSS_T 541513 Industrial 513731 488016 477350
GSS_T 541611 Industrial 498523 154742 128650
GSS_T 541620 Industrial 104314 104826 118054
GSS_T 541710 Industrial 920396 8334220
GSS_T 541715 Industrial 87832 401963 413269
GSS_T 541850 Industrial 361252 360152 383348
GSS_T 541940 Industrial 842775 797515 801116
GSS_T 551114 Industrial 2463681 2456201 2157139
GSS_T 561110 Industrial 1278551 1412517 1427738
GSS_T 561599 Industrial 119942 116120 112939
GSS_T 561612 Industrial 73025 639380
GSS_T 561621 Industrial 90264 100727 103376
GSS_T 561990 Industrial 102978 94743 86154
GSS_T 562111 Industrial 205026 185907 188777
GSS_T 562910 Industrial 1526806 1705044 1555648
GSS_T 611110 Industrial 117808 106298 98738
GSS_T 611117 Industrial 93566 74716 67718
GSS_T 611310 Industrial 1048825 1041880 998874
GSS_T 611513 Industrial 373988 357604 353266
ITEM 10.1. ATTACHMENT 5

GSS_T 611519 Industrial 70173 71889 70530
GSS_T 611620 Industrial 340897 354252 203149
GSS_T 611710 Industrial 43965 39391 53804
GSS_T 621111 Industrial 1028490 942642 1450253
GSS_T 621112 Industrial 88080 93469 80612
GSS_T 621210 Industrial 960459 945367 978627
GSS_T 621320 Industrial 129327 115131 100375
GSS_T 621420 Industrial 46504 90614 79413
GSS_T 621491 Industrial 991259 1247305 1128898
GSS_T 621492 Industrial 461069 439568 446093
GSS_T 621493 Industrial 70702 74598 68710
GSS_T 621511 Industrial 20984 43700 56139
GSS_T 621610 Industrial 79548 71062 63547
GSS_T 621991 Industrial 1451260 1445958 1428712
GSS_T 622110 Industrial 452017 625292 772404
GSS_T 623312 Industrial 371169 356921 358790
GSS_T 624110 Industrial 412022 409401 418809
GSS_T 624120 Industrial 88298 377370
GSS_T 624190 Industrial 174869 119855 76479
GSS_T 624229 Industrial 120397 114730 109140
GSS_T 624230 Industrial 733444 670176 605301
GSS_T 624410 Industrial 645147 562641 602714
GSS_T 6321 Industrial 530943 500087 496234
GSS_T 711310 Industrial 149964 31811 56626
GSS_T 712190 Industrial 108778 105997 97147
GSS_T 713940 Industrial 2121158 1967663 1957554
GSS_T 713990 Industrial 994271 892758 995855
GSS_T 721110 Industrial 9323467 9058203 9135864
GSS_T 722110 Industrial 5306021 5274823 5451218
GSS_T 722211 Industrial 7835653 7634176 7538225
GSS_T 722213 Industrial 679449 692946 724155
GSS_T 722410 Industrial 260964 275712 288116
GSS_T 722511 Industrial 716042 634593 627290
GSS_T 722513 Industrial 380422 378769 310384
GSS_T 722515 Industrial000
GSS_T 811111 Industrial 249746 239674 250160
GSS_T 811118 Industrial 80067 87276 86658
GSS_T 811121 Industrial 442343 424635 480460
GSS_T 811191 Industrial 25844 66707 91414
GSS_T 811192 Industrial 439815 424074 448480
GSS_T 811198 Industrial 108355 88156 14776
GSS_T 811310 Industrial 768989 751206 717672
GSS_T 811411 Industrial 228464 192934 107498
GSS_T 812112 Industrial 252256 225505 227088
GSS_T 812199 Industrial 97014 92797 106418
GSS_T 812910 Industrial00 343387
GSS_T 812990 Industrial 405876 401214 389144
ITEM 10.1. ATTACHMENT 5

GSS_T 813110 Industrial 944194 783335 749726
GSS_T 813211 Industrial 105564 128928 104132
GSS_T 813312 Industrial 118910 110239 103967
GSS_T 813410 Industrial 219798 229112 226810
GSS_T 813930 Industrial 70725 66626 81060
GSS_T 813990 Industrial 396418 380480 301030
GSS_T 921110 Industrial 109500 103627 108623
GSS_T 921190 Industrial00 19743
GSS_T 922160 Industrial 316628 310358 310650
GSS_T 923110 Industrial 84799 78675 79760
GSS_T 923130 Industrial 987752 880832 1097162
GSS_T 923140 Industrial 287984 332172 296730
GSS_T 924120 Industrial 422431 425789 425669
GSS_T 925120 Industrial 247854 224694 192157
GSS_T 926130 Industrial 119223 109879 112254
GSS_T 928110 Industrial 811958 756090 777341
GUP_L 237310 Industrial 1466948 2151134 2081658
GUP_L 334220 Industrial 11306931 11125874 11301111
GUP_L 622110 Industrial 11403994 11123402 11087453
GUP_S 231543 Small Commercial 372412 378268 355235
GUP_S 238350 Small Commercial 117534 137879 131239
GUS_L 517110 Industrial 25241986 26294503 25071147
GUS_L 518210 Industrial 11388658 10614769 10965469
GUS_L 541219 Industrial 7794949 7384352 6987803
GUS_M 221311 Industrial000
GUS_M 333511 Industrial 2596030 2952651 3171527
GUS_M 444130 Industrial 3017343 3284155 3213661
GUS_M 452110 Industrial 3115636 3101663 3064490
GUS_M 452910 Industrial 3508160 3421581 3361429
GUS_M 518210 Industrial 9958414 7946139 6570023
GUS_M 531120 Industrial 2163710 1990490 2000548
GUS_M 531123 Industrial 2237463 2170080 2108078
GUS_M 531210 Industrial 4116028 4194180 4255389
GUS_M 541513 Industrial0 3830725 5963409
GUS_M 721110 Industrial 3257778 3185458 3164018
GUS_S 221312 Industrial 3254468 2513009 83670
GUS_S 333515 Industrial 1243817 1296842 1268216
GUS_S 333999 Industrial 1475060 1444163 1550920
GUS_S 444110 Industrial 1997970 1855443 1480645
GUS_S 445110 Industrial 4605501 4496218 4353874
GUS_S 452990 Industrial 1415712 1193837 1228824
GUS_S 454113 Industrial 903312 1069684 459478
GUS_S 517110 Industrial 5893635 5369223 5407324
GUS_S 518210 Industrial 5031770 4878319 4291244
GUS_S 522120 Industrial 868596 842469 541593
GUS_S 522298 Industrial 1281235 1194552 1227531
GUS_S 524114 Industrial 4968571 4519954 2789143
ITEM 10.1. ATTACHMENT 5

GUS_S 524126 Industrial 1289784 1274887 1188913
GUS_S 531120 Industrial 4270984 6589411 5299775
GUS_S 531123 Industrial 2345157 2328337 2336490
GUS_S 531190 Industrial 1748482 1331808 1417912
GUS_S 531191 Industrial 1716220 14589160
GUS_S 531210 Industrial 3025821 2810957 2832958
GUS_S 541513 Industrial 7645204 4994500 3523321
GUS_S 551114 Industrial 2454004 2291497 1995537
GUS_S 561110 Industrial 1033639 1014498 1019124
GUS_S 611110 Industrial 608735 563684 580863
GUS_S 611310 Industrial 460142 787977 1147594
GUS_S 621111 Industrial 1482797 1147484 596877
GUS_S 621491 Industrial 1073896 5022570
GUS_S 622110 Industrial 2185460 2271710 2293626
GUS_S 624110 Industrial 604266 569701 635255
GUS_S 921130 Industrial 1535887 1427271 1471320
NLGT 922612 Residential 10400
RF01 RE1100 Residential 493931 519348 1167133
RF01 RE1200 Residential 64357 102966 555755
RF01 RE1300 Residential00 349
RF01_E RE1100 Residential 93792 108167 132092
RF01_E RE1200 Residential 38817 65508 141343
RF01_E RE1300 Residential00 2568
RF01_EL RE1100 Residential 12057 11572 12730
RF01_EL RE1200 Residential 2446 8988 12601
RF01_L RE1100 Residential 16431 43745 47990
RF01_L RE1200 Residential00 2831
RPEV_1 RE1100 Residential 728200
RSC RE1100 Residential 614846 553985 544273
RSC RE1200 Residential 409593 364402 359490
RSCH RE1100 Residential 750148 425714 215690
RSCH RE1200 Residential 95196 46629 30736
RSCH_E RE1100 Residential 63716 35203 29870
RSCH_E RE1200 Residential 41095 31420 30299
RSCH_E_SP RE1200 Residential 7026 5972 5472
RSCH_L RE1100 Residential 23535 18891 9149
RSCH_SP RE1200 Residential 2025 2037 1970
RSC_11 RE1200 Residential 16340 15441 15441
RSC_12 RE1200 Residential 12359 3645 6565
RSC_13 RE1200 Residential 9890 8480 10001
RSC_E RE1100 Residential 85992 82943 83789
RSC_E RE1200 Residential 77251 71387 64742
RSC_L RE1100 Residential 45525 45168 32726
RSC_L RE1200 Residential 9118 6019 5290
RSE RE1100 Residential 2889678 2511796 2350599
RSE RE1200 Residential 11291765 10089535 9710917
RSEH RE1100 Residential 4201069 2767401 1829625
ITEM 10.1. ATTACHMENT 5

RSEH RE1200 Residential 9272876 7624550 6047980
RSEH_E RE1100 Residential 1077701 821695 689083
RSEH_E RE1200 Residential 4031315 3008042 2357076
RSEH_EL RE1100 Residential 36641 21011 16032
RSEH_EL RE1200 Residential 142134 92420 44763
RSEH_E_SP RE1100 Residential 9269 4556 1872
RSEH_E_SP RE1200 Residential 67806 39129 39172
RSEH_L RE1100 Residential 52326 19057 6422
RSEH_L RE1200 Residential 51329 38953 26412
RSEH_SP RE1100 Residential 27191 5372 6752
RSEH_SP RE1200 Residential 74041 56666 63852
RSE_1 RE1100 Residential 20516 19598 21889
RSE_1 RE1200 Residential 6204 5493 4934
RSE_11 RE1100 Residential 52417 50016 48412
RSE_11 RE1200 Residential 128833 111994 105833
RSE_12 RE1100 Residential 58506 35883 21904
RSE_12 RE1200 Residential 235384 207755 212788
RSE_3 RE1100 Residential 4381 6539 9928
RSE_E RE1100 Residential 708451 596304 520909
RSE_E RE1200 Residential 2147656 1891976 1838597
RSE_E1 RE1200 Residential 9167 8111 8182
RSE_E11 RE1200 Residential 2840 2634 2546
RSE_E12 RE1100 Residential 7080 9678 10507
RSE_E12 RE1200 Residential 77205 69201 72977
RSE_EL RE1100 Residential 18795 17523 17300
RSE_EL RE1200 Residential 50871 34211 37537
RSE_EL12 RE1200 Residential 8442 6597 7139
RSE_L RE1100 Residential 60265 36103 20583
RSE_L RE1200 Residential 18570 8598
RSE_L11 RE1200 Residential 7328 40130
RSG 623110 Residential 162200
RSG 623220 Residential 9703 9085 6534
RSG RE1100 Residential 14498736 12711197 12106702
RSG RE1200 Residential 12153857 10704562 10062117
RSG RE1300 Residential 33568 29483 27961
RSGH 623312 Residential 26640 14570 13982
RSGH RE1000 Residential0 20921 21972
RSGH RE1100 Residential 23227698 17066400 13375153
RSGH RE1200 Residential 10757534 8905416 7110974
RSGH RE1300 Residential 103800 56344 14082
RSGH_E RE1100 Residential 3295593 2405477 1953274
RSGH_E RE1200 Residential 2952080 2393089 2001777
RSGH_E RE1300 Residential 52152 30381 3592
RSGH_EL RE1100 Residential 181880 94617 70720
RSGH_EL RE1200 Residential 96762 98682 96247
RSGH_E_SP RE1100 Residential 9483 9598 8203
RSGH_E_SP RE1200 Residential 38327 31051 42647
ITEM 10.1. ATTACHMENT 5

RSGH_L 236115 Residential 931 1255 901
RSGH_L RE1100 Residential 367144 212069 151989
RSGH_L RE1200 Residential 49313 44393 17977
RSGH_SP RE1100 Residential 65009 39459 33414
RSGH_SP RE1200 Residential 70592 70011 58090
RSG_1 RE1100 Residential 94209 88589 69603
RSG_1 RE1200 Residential 80296 76854 78248
RSG_11 RE1100 Residential 186620 146051 96764
RSG_11 RE1200 Residential 74519 49416 39539
RSG_12 RE1100 Residential 414063 363218 318830
RSG_12 RE1200 Residential 289442 219901 202011
RSG_2 RE1100 Residential 20276 18998 10731
RSG_E RE1100 Residential 2514102 2262387 2137890
RSG_E RE1200 Residential 2592331 2279914 2191453
RSG_E RE1300 Residential 7171 4311 4606
RSG_E1 RE1100 Residential 12799 11937 12335
RSG_E1 RE1200 Residential 11290 9635 10125
RSG_E11 RE1100 Residential 8199 8764 8777
RSG_E11 RE1200 Residential 11951 10343 11948
RSG_E12 RE1100 Residential 12523 11012 10027
RSG_E12 RE1200 Residential 44227 25491 23195
RSG_E2 RE1100 Residential 9903 7850 6712
RSG_EL RE1100 Residential 174513 121224 95487
RSG_EL RE1200 Residential 87877 70189 60494
RSG_L RE1100 Residential 216105 188749 171929
RSG_L RE1200 Residential 44222 43763 45063
RSG_L11 RE1100 Residential 8471 9543 8273
RSG_L12 RE1100 Residential 457700
RSMM RE2300 Residential 4380803 4143636 4274527
RT01 RE1100 Residential 1280740 1287599 1265712
RT01 RE1200 Residential 1141 1251 267
RT01_E RE1100 Residential 87357 71222 47301
RT01_EL RE1100 Residential 12062 12435 13643
RT01_L RE1100 Residential 13877 13708 14359
RT02 RE1000 Residential0 764 13450
RT02 RE1100 Residential 68170030 70261760 75805666
RT02 RE1200 Residential 11169732 14270074 19078626
RT02 RE1300 Residential 104283 129588 142473
RT02_E RE1100 Residential 8243165 8706995 9418525
RT02_E RE1200 Residential 4836942 5893302 6831249
RT02_E RE1300 Residential 41911 36865 34621
RT02_EL RE1100 Residential 614298 617644 605847
RT02_EL RE1200 Residential 359531 368168 429468
RT02_EL RE1300 Residential 5899 4606 4439
RT02_L RE1100 Residential 1898730 1883054 1867707
RT02_L RE1200 Residential 205120 210203 231966
RT02_L RE1300 Residential 22275 19820 21012
ITEM 10.1. ATTACHMENT 5

RTG5 RE1100 Residential 8828 8155 7820
RTT RE1100 Residential00 5949
RWCH RE1100 Residential0 59 1094
RWE RE1100 Residential 17729 16604 15236
RWEH RE1100 Residential 13391 13891 17200
RWEH_E RE1100 Residential 2919 7155 15662
RWE_E RE1100 Residential 11138 58970
RWG RE1100 Residential 49894 36185 33699
RWGH RE1100 Residential 41178 31095 19886
RWGH_E RE1100 Residential 1758 32830
RWG_E RE1100 Residential 29554 16730 13279
SL_COM_M 221312 Street Lighting 13970 13238 13449
SL_COM_M 925190 Street Lighting 33900 36382 36679
SL_COM_M 925190 Street Lighting 24315 30505 67134
TS 237310 Traffic Signals 1726 1613 1853
TS 922610 Traffic Signals 56162 55461 54724
TS 922610 Traffic Signals 150259 154174 154466
TS 925190 Traffic Signals 18994 18416 18553
TS 925190 Traffic Signals 60522 64225 71936
ITEM 10.1. ATTACHMENT 5

Generator Activity Data
Source: SMAQMD
COMPANY Po POStatus DescriptSpec Descript Stno Street Citylocat Ziplocat HP Apprecd ADDRESS CITYMAIL STATE ZIP ACissued IssueDate CancelledDate FuelRate
gal/hr Hours/year
Fuel Use
gal/year
AEROJET ROCKETDYNE, INC. 10294 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 50 12/20/1991 PO BOX 13222 SACRAMENTO CA 95813-6000 1/21/1992 3/22/1993 6/18/2020 4.01 9.75 39.0975 VERIZON WIRELESS 22505 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11840 FOLSOM BLVD RANCHO CORDOVA 95742 80 4/15/2010 295 PARKSHORE DRIVE FOLSOM CA 95630 6/3/2010 7/7/2011 4.01 9.75 39.0975 VERIZON WIRELESS 22528 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3261 "C" FITZGERALD RD RANCHO CORDOVA 95742 80 5/3/2010 295 PARKSHORE DRIVE FOLSOM CA 95630 10/22/2010 7/28/2011 4.6 9.75 44.85 ENTERCOM SACRAMENTO 22796 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 15125 WHITE ROCK RD RANCHO CORDOVA 95742 88 11/5/2010 5345 MADISON AVE SACRAMENTO CA 95841 12/14/2010 8/4/2011 5.1 9.75 49.725 AMPAC FINE CHEMICALS 18981 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY Highway 50 and Hazel Ave. RANCHO CORDOVA 95700 91.3 11/28/2005 P.O. BOX 1718 RANCHO CORDOVA CA 95741 1/5/2006 5.1 6.7 34.17 AMPAC FINE CHEMICALS 19005 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY Highway 50 and Hazel Ave. RANCHO CORDOVA 95700 96 11/28/2005 P.O. BOX 1718 RANCHO CORDOVA CA 95741 1/5/2006 5.1 6.9 35.19 CONTRACTORS WAREHOUSE 19390 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10060 MILLS STATION RD RANCHO CORDOVA 95827 96 6/15/2006 1695 EUREKA RD ROSEVILLE CA 95661 6/27/2006 6/26/2008 4.8 9.75 46.8 VERIZON WIRELESS 18861 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11167 TRADE CENTER DR RANCHO CORDOVA 95670 96 10/25/2005 295 PARKSHORE DRIVE FOLSOM CA 95630 11/16/2005 1/26/2006 5.2 9.75 50.7 VERIZON WIRELESS 20058 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2239 CHASE DR RANCHO CORDOVA 95670 96 12/19/2006 295 PARKSHORE DRIVE FOLSOM CA 95630 4/27/2007 1/15/2009 5.2 9.75 50.7 VERIZON WIRELESS 20096 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2347 GOLD RIVER RD RANCHO CORDOVA 95670 96 1/18/2007 295 PARKSHORE DRIVE FOLSOM CA 95630 1/25/2007 9/11/2007 5.2 9.75 50.7 VERIZON WIRELESS 21294 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 12525 QUICKSILVER DR RANCHO CORDOVA 95742 96 7/11/2008 295 PARKSHORE DRIVE FOLSOM CA 95630 8/26/2008 3/26/2009 5 9.75 48.75 AMPAC FINE CHEMICALS 23323 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY Highway 50 and Hazel Ave. RANCHO CORDOVA 95700 109 2/3/2012 P.O. BOX 1718 RANCHO CORDOVA CA 95741 10/19/2012 5/23/2013 11/30/2019 6 9.75 58.5 FIRST COVENANT CHURCH 20110 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10933 PROGRESS CT RANCHO CORDOVA 95670 128 1/29/2007 P.O. BOX 276450 SACRAMENTO CA 95670 5/31/2007 6/29/2007 6 9.75 58.5 HOME DEPOT (C/O 3E COMPANY) #0652 13407 ACTIVE IC ENGINE STANDBY - PUMP - FIRE IC ENGINE COMPRESSION-STANDBY 2756 SUNRISE BLVD RANCHO CORDOVA 95670 130 10/1/1997 3207 GREY HAWK CT., SUITE 200 CARLSBAD CA 92010 12/7/1997 3/26/1998 6 25.8 154.8 AEROJET ROCKETDYNE, INC. 10426 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 134 3/5/1992 PO BOX 13222 SACRAMENTO CA 95813-6000 3/5/1992 3/2/1993 6 3.9 23.4 AEROJET ROCKETDYNE, INC. 10439 PO-CANCELLED IC ENGINE STANDBY - PUMP - FIRE IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 152 3/5/1992 PO BOX 13222 SACRAMENTO CA 95813-6000 3/5/1992 4/9/1993 8/8/2019 6 3.9 23.4 AEROJET ROCKETDYNE, INC. 10440 PO-CANCELLED IC ENGINE STANDBY - PUMP - FIRE IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 152 3/5/1992 PO BOX 13222 SACRAMENTO CA 95813-6000 3/5/1992 3/2/1993 8/8/2019 6 3.9 23.4 AEROJET ROCKETDYNE, INC. 18758 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 153 9/1/2005 PO BOX 13222 SACRAMENTO CA 95813-6000 9/6/2005 11/13/2006 8/29/2019 5.1 11.2 57.12 SACRAMENTO AREA SEWER DISTRICT (SASD) 24271 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11728 CHRYSANTHY BLVD RANCHO CORDOVA 95742 157.5 5/29/2014 10060 GOETHE RD SACRAMENTO CA 95827 6/18/2014 7.9 22.6 178.54 CONDUENT STATE AND LOCAL SOLUTIONS INC. 26189 ACTIVE IC ENGINE STANDBY IC ENGINE COMPRESSION-AG 10390 PETER A MCCUEN BLVD RANCHO CORDOVA 95655 158 4/10/2019 10390 PETER A. MCCUEN BLVD. RANCHO CORDOVA CA 95655 4/19/2019 8.2 9.75 79.95 CSUS AQUATIC CENTER 17643 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 1901 HAZEL AVE RANCHO CORDOVA 95670 160 4/1/2004 1901 HAZEL AVE RANCHO CORDOVA CA 95670 4/20/2004 11/30/2004 9.9 9.75 96.525 SACRAMENTO REG. COUNTY SANITATION DISTRICT 17092 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY CHASE DR WEST END RANCHO CORDOVA 95670 177 5/6/2003 8521 LAGUNA STATION ROAD ELK GROVE CA 95758 8/5/2003 7/6/2004 9.9 2 19.8 GPT PROPERTIES TRUST DBA BUREAU OF AUTOMOTIVE REPA 24631 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10949 N. 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COUNTY SANITATION DISTRICT 17091 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY CHASE DR WEST END RANCHO CORDOVA 95670 772 5/6/2003 8521 LAGUNA STATION ROAD ELK GROVE CA 95758 6/5/2003 5/21/2004 40 33.9 1356 AEROJET ROCKETDYNE, INC. 22957 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 809 3/11/2011 PO BOX 13222 SACRAMENTO CA 95813-6000 3/24/2011 2/5/2013 40 30.23 1209.2 AEROJET ROCKETDYNE, INC. 23806 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 831 5/9/2013 PO BOX 13222 SACRAMENTO CA 95813-6000 7/9/2013 5/29/2015 2/12/2020 40 9.75 390 BLACKROCK FINANCIAL MANAGEMENT, INC 22516 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10850 GOLD CENTER DR. RANCHO CORDOVA 95670 880 4/22/2010 400 HOWARD ST SAN FRANCISCO CA 94105 5/24/2010 40 9.75 390 EDGECONNEX SACRAMENTO HOLDINGS, LLC 24306 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10980 GOLD CENTER DR RANCHO CORDOVA 95670 896 6/27/2014 2201 COOPERATIVE WAY HERNDON VA 20171 9/10/2014 8/10/2016 40 74.8 2992 EDGECONNEX SACRAMENTO HOLDINGS, LLC 24307 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10980 GOLD CENTER DR RANCHO CORDOVA 95670 896 6/27/2014 2201 COOPERATIVE WAY HERNDON VA 20171 9/10/2014 8/10/2016 40 76.5 3060 EDGECONNEX SACRAMENTO HOLDINGS, LLC 25531 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10980 GOLD CENTER DR RANCHO CORDOVA 95670 896 12/1/2017 2201 COOPERATIVE WAY HERNDON VA 20171 12/28/2017 6/5/2018 40 75.8 3032 25 NORTH 14TH STREET LLC 26226 ACTIVE IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 10888 WHITE ROCK RD RANCHO CORDOVA 95670 900 5/6/2019 1860 EL CAMINO REAL #500 BURLINGAME CA 94010 5/20/2019 44 9.75 429 COMCAST OF SACRAMENTO 20102 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 6901 ROSEVILLE RD (HEADEND) RANCHO CORDOVA 95842 900 1/25/2007 1242 NATIONAL DR SACRAMENTO CA 95834 2/20/2007 1/8/2008 1/8/2021 42.7 9.75 416.325 MLMT 2005-CKII RANCHO CORDOVA-CIII ASSET MGMT LLC 25185 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10888 WHITE ROCK RD RANCHO CORDOVA 95670 900 1/11/2017 1130 IRON POINT RD, STE 138 FOLSOM CA 95630 6/22/2017 5/21/2019 44 9.75 429 OPTUM360, LLC (JLL/UHG) 25321 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3215 PROSPECT PARK DR RANCHO CORDOVA 95670 910 5/2/2017 P.O. Box 4817 PORTLAND OR 97208 9/21/2017 44.8 9.5 425.6 SAC COUNTY WATER AGENCY 18498 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 4323 SUNRISE BLVD RANCHO CORDOVA 95742 984 4/12/2005 10151 FLORIN RD SACRAMENTO CA 95829 6/9/2005 12/22/2005 45.8 5.2 238.16 AEROJET ROCKETDYNE, INC. 23158 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 999 8/4/2011 PO BOX 13222 SACRAMENTO CA 95813-6000 2/9/2012 1/23/2014 45.8 34 1557.2 MCKESSON DATA CENTER 15195 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11000 TRADE CENTER DR RANCHO CORDOVA 95670 1096 6/30/2000 11000 TRADE CENTER DR RANCHO CORDOVA CA 95670 7/10/2000 7/10/2000 41 7.4 303.4 MCKESSON DATA CENTER 15196 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11000 TRADE CENTER DR RANCHO CORDOVA 95670 1096 6/30/2000 11000 TRADE CENTER DR RANCHO CORDOVA CA 95670 7/10/2000 7/10/2000 41 6.9 282.9 BUZZ OATES DEVELOPMENT 16281 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10600 WHITE ROCK RD RANCHO CORDOVA 95870 1106 3/14/2002 555 CAPITOL MALL, NINTH FLOOR SACRAMENTO CA 95814 3/28/2002 41.2 2 82.4 ELECTRIC LIGHTWAVE 14792 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3224 LUYUNG DR RANCHO CORDOVA 95670 1108 11/4/1999 18110 SOUTHEAST 34TH ST, BLDG 1, STE 100 VANCOUVER WA 98683 11/8/1999 1/24/2000 4/17/2020 41.2 6 247.2 FRANKLIN RESOURCES 11857 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3310 QUALITY DR RANCHO CORDOVA 95670 1108 1/17/1995 3366 QUALITY DR RANCHO CORDOVA CA 95670 2/17/1995 3/10/1995 13 6 78 FRANKLIN RESOURCES 12170 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3355 DATA DR RANCHO CORDOVA 95670 1108 8/17/1995 3366 QUALITY DR RANCHO CORDOVA CA 95670 8/30/1995 3/4/1996 13 7 91 FRANKLIN RESOURCES 13218 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3343 CAPITOL CENTER RANCHO CORDOVA 95670 1108 5/23/1997 3366 QUALITY DR RANCHO CORDOVA CA 95670 10/22/1997 11/19/1997 13 7 91 MCKESSON DATA CENTER 15194 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11000 TRADE CENTER DR RANCHO CORDOVA 95670 1109 6/30/2000 11000 TRADE CENTER DR RANCHO CORDOVA CA 95670 7/10/2000 7/10/2000 35 7.9 276.5 SAC COUNTY WATER AGENCY 19106 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY DOUGLAS RD & SECURITY PK RANCHO CORDOVA 95655 1118 12/22/2005 10151 FLORIN RD SACRAMENTO CA 95829 2/1/2006 7/9/2007 36.3 6.7 243.21 RAINTREE REALTY II, LLC C/O BASIN STREET PRO 25761 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10951 WHITE ROCK RD RANCHO CORDOVA 95670 1120 5/15/2018 10860 GOLD CENTER DR RANCHO CORDOVA CA 95670 8/20/2018 46.9 34 1594.6 MAXIMUS 25584 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11050 OLSON DR RANCHO CORDOVA 95670 1141 1/11/2018 11050 OLSON DR., SUITE 100 RANCHO CORDOVA CA 95670 2/28/2018 5/22/2018 53.6 21.6 1157.76 CALTRANS 14677 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3165 GOLD VALLEY DR RANCHO CORDOVA 95742 1170 8/26/1999 3165 GOLD VALLEY DR RANCHO CORDOVA CA 95742 9/16/1999 4/14/2000 53.6 10 536 DCPII-SAC-3065 GOLD CAMP DRIVE, LLC 25718 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3065 GOLD CAMP DR RANCHO CORDOVA 95670 1190 4/20/2018 4890 W. KENNEDY BLVD, STE 650 TAMPA FL 33609 5/23/2018 29 12.33 357.57 CORDOVA, LLC 24924 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10850 WHITE ROCK RD RANCHO CORDOVA 95742 1200 3/4/2016 2377 CRENSHAW BLVD, STE 300 TORRANCE CA 90501 5/16/2016 61.3 9.75 597.675 VISION SERVICE PLAN 24841 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3333 QUALITY DR -MS422 RANCHO CORDOVA 95670 1474 12/14/2015 3333 QUALITY DRIVE RANCHO CORDOVA CA 95670 7/7/2016 9/12/2017 71.9 9.75 701.025 VISION SERVICE PLAN 24842 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10845 INTERNATIONAL DR RANCHO CORDOVA 95670 1474 12/14/2015 3333 QUALITY DRIVE RANCHO CORDOVA CA 95670 7/7/2016 9/12/2017 71.9 9.75 701.025 DCPII-SAC-3065 GOLD CAMP DRIVE, LLC 25720 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3065 GOLD CAMP DR RANCHO CORDOVA 95670 1482 4/20/2018 4890 W. KENNEDY BLVD, STE 650 TAMPA FL 33609 5/23/2018 29 13.69 397.01 CAL PERS 19033 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11086 SUN CENTER DR RANCHO CORDOVA 95670 1490 11/28/2005 400 Q STREET, SUITE #W2510 SACRAMENTO CA 95811 12/5/2005 4/18/2006 150 11.1 1665 DCPIII-SAC-11085 SUN CENTER DR, LLC 26077 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR. RANCHO CORDOVA 95670 1490 2/11/2019 4890 W. KENNEDY BLVD., STE 650 TAMPA FL 33609 2/28/2019 56.4 9.75 549.9 DCPIII-SAC-11085 SUN CENTER DR, LLC 26078 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR. RANCHO CORDOVA 95670 1490 2/11/2019 4890 W. KENNEDY BLVD., STE 650 TAMPA FL 33609 2/28/2019 56.4 9.75 549.9 DCPIII-SAC-11085 SUN CENTER DR, LLC 26079 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR. RANCHO CORDOVA 95670 1490 2/11/2019 4890 W. KENNEDY BLVD., STE 650 TAMPA FL 33609 2/28/2019 56.4 9.75 549.9 DIGITAL 11085 SUNCENTER DR, LLC DBA SUN GARD 23490 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR RANCHO CORDOVA 95670 1490 6/11/2012 200 PAUL AVE, #500 SAN FRANCISCO CA 94124 7/31/2012 2/28/2019 56.4 9.75 549.9 DIGITAL 11085 SUNCENTER DR, LLC DBA SUN GARD 23491 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR RANCHO CORDOVA 95670 1490 6/11/2012 200 PAUL AVE, #500 SAN FRANCISCO CA 94124 7/31/2012 2/28/2019 56.4 9.75 549.9 DIGITAL 11085 SUNCENTER DR, LLC DBA SUN GARD 23492 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR RANCHO CORDOVA 95670 1490 6/11/2012 200 PAUL AVE, #500 SAN FRANCISCO CA 94124 7/31/2012 2/28/2019 56.4 9.75 549.9 MCI WORLDCOM 15315 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2991 GOLD CANAL DR RANCHO CORDOVA 95670 1490 8/17/2000 18850 ORANGE STREET BLOOMINGTON CA 92316 8/31/2000 12/20/2000 30 16.7 501 VISION SERVICE PLAN 22754 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3333 QUALITY DR -MS422 RANCHO CORDOVA 95670 1490 10/12/2010 3333 QUALITY DRIVE RANCHO CORDOVA CA 95670 10/22/2010 4/7/2011 72.2 9.75 703.95 MAXIMUS 16044 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 3130 KILGORE RD RANCHO CORDOVA 95670 1495 10/1/2001 11050 OLSON DR., SUITE 100 RANCHO CORDOVA CA 95670 10/15/2001 3/4/2002 3/29/2019 5.8 4.4 25.52 AEROJET ROCKETDYNE, INC. 23159 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 2001 AEROJET RD RANCHO CORDOVA 95742 1500 8/4/2011 PO BOX 13222 SACRAMENTO CA 95813-6000 2/9/2012 1/23/2014 71.1 9.75 693.225 ARCH U.S. MI SERVICES INC. 24355 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11050 WHITE ROCK RD RANCHO CORDOVA 95670 1502 8/14/2014 3003 OAK RD. WALNUT CREEK CA 94597 10/8/2014 71.1 9.75 693.225 BLACKROCK FINANCIAL MANAGEMENT, INC 22514 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10815 GOLD CENTER DR RANCHO CORDOVA 95670 1818 4/22/2010 40 EAST 52ND ST NEW YORK NY 10022 5/24/2010 8/28/2019 71.1 9.75 693.225 BLACKROCK FINANCIAL MANAGEMENT, INC 22515 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10815 GOLD CENTER DR RANCHO CORDOVA 95670 1818 4/22/2010 40 EAST 52ND ST NEW YORK NY 10022 5/24/2010 8/28/2019 71.1 9.75 693.225 FRANKLIN RESOURCES 13664 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3344 QUALITY DR RANCHO CORDOVA 95670 1818 3/5/1998 3366 QUALITY DR RANCHO CORDOVA CA 95670 8/13/1998 9/29/1998 21 6 126 GOLD TAILINGS INVESTMENTS LLC 26351 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10815 GOLD CENTER DRIVE RANCHO CORDOVA 95670 1818 9/9/2019 2860 GOLD TAILINGS COURT RANCHO CORDOVA CA 95670 10/11/2019 91 9.75 887.25 GOLD TAILINGS INVESTMENTS LLC 26352 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10815 GOLD CENTER DRIVE RANCHO CORDOVA 95670 1818 9/9/2019 2860 GOLD TAILINGS COURT RANCHO CORDOVA CA 95670 10/11/2019 91 9.75 887.25 DCPIII-SAC-11085 SUN CENTER DR, LLC 26074 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR. RANCHO CORDOVA 95670 1850 2/11/2019 4890 W. KENNEDY BLVD., STE 650 TAMPA FL 33609 2/28/2019 94.5 9.75 921.375 DCPIII-SAC-11085 SUN CENTER DR, LLC 26075 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR. RANCHO CORDOVA 95670 1850 2/11/2019 4890 W. KENNEDY BLVD., STE 650 TAMPA FL 33609 2/28/2019 94.5 9.75 921.375 DCPIII-SAC-11085 SUN CENTER DR, LLC 26076 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR. RANCHO CORDOVA 95670 1850 2/11/2019 4890 W. KENNEDY BLVD., STE 650 TAMPA FL 33609 2/28/2019 94.5 9.75 921.375 DELTANET DBA DELTA DENTAL 16620 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3241 KILGORE RD RANCHO CORDOVA 95670 1850 9/6/2002 11155 INTERNATIONAL DR RANCHO CORDOVA CA 95742 9/20/2002 1/3/2003 94.5 9.75 921.375 DIGITAL 11085 SUNCENTER DR, LLC DBA SUN GARD 23487 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR RANCHO CORDOVA 95670 1850 6/11/2012 200 PAUL AVE, #500 SAN FRANCISCO CA 94124 7/31/2012 2/28/2019 27 9.75 263.25 DIGITAL 11085 SUNCENTER DR, LLC DBA SUN GARD 23488 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR RANCHO CORDOVA 95670 1850 6/11/2012 200 PAUL AVE, #500 SAN FRANCISCO CA 94124 7/31/2012 2/28/2019 27 9.75 263.25 DIGITAL 11085 SUNCENTER DR, LLC DBA SUN GARD 23489 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 11085 SUN CENTER DR RANCHO CORDOVA 95670 1850 6/11/2012 200 PAUL AVE, #500 SAN FRANCISCO CA 94124 7/31/2012 2/28/2019 27 9.75 263.25 CERULEAN GLOBAL SERVICES, LLC 26215 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-AG 3141 DATA DR RANCHO CORDOVA 95670 2020 4/29/2019 3141 DATA DR RANCHO CORDOVA CA 95670 5/17/2019 3/22/2021 109.7 9.75 1069.575 CERULEAN GLOBAL SERVICES, LLC 26213 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 3141 DATA DR RANCHO CORDOVA 95670 2020 4/29/2019 3141 DATA DR RANCHO CORDOVA CA 95670 5/17/2019 3/22/2021 109.7 9.75 1069.575 CERULEAN GLOBAL SERVICES, LLC 26214 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 3141 DATA DR RANCHO CORDOVA 95670 2020 4/29/2019 3141 DATA DR RANCHO CORDOVA CA 95670 5/17/2019 3/22/2021 109.7 9.75 1069.575 ENTERPRISE SERVICES, LLC 11370 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 3141 DATA DR RANCHO CORDOVA 95670 2020 8/24/1993 8000 FOOTHILLS BLVD ROSEVILLE CA 95747-5609 9/15/1993 5/9/1994 3/29/2019 52 5.1 265.2 ENTERPRISE SERVICES, LLC 11371 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 3141 DATA DR RANCHO CORDOVA 95670 2020 8/24/1993 8000 FOOTHILLS BLVD ROSEVILLE CA 95747-5609 9/23/1993 5/9/1994 3/29/2019 52 5.1 265.2 ENTERPRISE SERVICES, LLC 11372 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 3141 DATA DR RANCHO CORDOVA 95670 2020 8/24/1993 8000 FOOTHILLS BLVD ROSEVILLE CA 95747-5609 9/23/1993 5/9/1994 3/29/2019 52 5.1 265.2 DELTANET DBA DELTA DENTAL 14579 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3241 KILGORE RD RANCHO CORDOVA 95670 2172 6/15/1999 11155 INTERNATIONAL DR RANCHO CORDOVA CA 95742 7/27/1999 3/22/2000 110.6 9.75 1078.35 RAINTREE REALTY II, LLC C/O BASIN STREET PRO 25764 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10877 WHITE ROCK RD RANCHO CORDOVA 95670 2172 5/15/2018 10860 GOLD CENTER DR RANCHO CORDOVA CA 95670 8/20/2018 110.6 3 331.8 CERULEAN GLOBAL SERVICES, LLC 26212 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 3141 DATA DR RANCHO CORDOVA 95670 2200 4/29/2019 3141 DATA DR RANCHO CORDOVA CA 95670 5/17/2019 3/22/2021 101.1 9.75 985.725 ENTERPRISE SERVICES, LLC 16982 PO-CANCELLED IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 3141 DATA DR RANCHO CORDOVA 95670 2200 3/12/2003 8000 FOOTHILLS BLVD ROSEVILLE CA 95747-5609 3/18/2003 4/6/2004 3/29/2019 37.4 7 261.8 MCKESSON DATA CENTER 24492 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11000 TRADE CENTER DR RANCHO CORDOVA 95670 2200 1/15/2015 11000 TRADE CENTER DR RANCHO CORDOVA CA 95670 3/2/2015 6/23/2016 109.4 7.9 864.26 GOLD CENTER L.P. 16255 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10929 DISK DRIVE RANCHO CORDOVA 95670 2220 2/12/2002 2882 PROSPECT PARK DRIVE # H 250 RANCHO CORDOVA CA 95670 2/28/2002 6/24/2002 1/30/2020 90 9.75 877.5 MCKESSON DATA CENTER 21137 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11000 TRADE CENTER DR RANCHO CORDOVA 95670 2220 5/12/2008 11000 TRADE CENTER DR RANCHO CORDOVA CA 95670 6/13/2008 7/1/2009 103.6 6 621.6 MCKESSON DATA CENTER 22420 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11000 TRADE CENTER DR RANCHO CORDOVA 95670 2220 2/22/2010 11000 TRADE CENTER DR RANCHO CORDOVA CA 95670 7/1/2010 6/8/2011 103.6 6.5 673.4 MCKESSON DATA CENTER 22570 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11000 TRADE CENTER DR RANCHO CORDOVA 95670 2220 6/14/2010 11000 TRADE CENTER DR RANCHO CORDOVA CA 95670 7/1/2010 7/1/2010 103.6 5.8 600.88 QWEST COMMUNICATIONS CORP DBA CENTRUY LINK 15289 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3040 GOLD CAMP DR RANCHO CORDOVA 95670 2220 8/9/2000 1025 ELDORADO BLVD BROOMFIELD CO 80021 8/31/2000 10/23/2000 103.6 9.75 1010.1 QWEST COMMUNICATIONS CORP DBA CENTRUY LINK 15290 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3040 GOLD CAMP DR RANCHO CORDOVA 95670 2220 8/9/2000 1025 ELDORADO BLVD BROOMFIELD CO 80021 8/31/2000 10/23/2000 103.6 9.75 1010.1 HEALTH NET, INC 12151 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 12033 FOUNDATION PLACE RANCHO CORDOVA 95670 2275 8/1/1995 4151 E. COMMERCE WAY SACRAMENTO CA 95834 8/7/1995 5/8/1996 110 9.75 1072.5 STATE OF CA, DEPT OF TECHNOLOGY SERVICES 14352 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3101 GOLD CAMP DR RANCHO CORDOVA 2520 2/4/1999 P.O. BOX 1810 RANCHO CORDOVA CA 95741-1810 6/25/1999 7/24/2001 100 9.75 975 STATE OF CA, DEPT OF TECHNOLOGY SERVICES 14353 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3101 GOLD CAMP DR RANCHO CORDOVA 2520 2/4/1999 P.O. BOX 1810 RANCHO CORDOVA CA 95741-1810 6/25/1999 7/24/2001 100 9.75 975 STATE OF CA, DEPT OF TECHNOLOGY SERVICES 14354 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3101 GOLD CAMP DR RANCHO CORDOVA 2520 2/4/1999 P.O. BOX 1810 RANCHO CORDOVA CA 95741-1810 6/25/1999 7/24/2001 100 9.75 975 CENTENE CORPORATION 26285 ACTIVE IC ENGINE STANDBY IC ENGINE COMPRESSION-STANDBY 10734 INTERNATIONAL DR RANCHO CORDOVA 95670 2847 7/8/2019 12033 FOUNDATION PLACE GOLD RIVER CA 95670 7/25/2019 271.8 9.75 2650.05 DCPII-SAC-3065 GOLD CAMP DRIVE, LLC 25719 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3065 GOLD CAMP DR RANCHO CORDOVA 95670 2847 4/20/2018 4890 W. KENNEDY BLVD, STE 650 TAMPA FL 33609 5/23/2018 271.8 11.19 3041.442 DCPII-SAC-3065 GOLD CAMP DRIVE, LLC 25721 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3065 GOLD CAMP DR RANCHO CORDOVA 95670 2847 4/20/2018 4890 W. KENNEDY BLVD, STE 650 TAMPA FL 33609 5/23/2018 271.8 10.283 2794.9194 VERIZON WIRELESS 15828 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 10734 INTERNATIONAL DR RANCHO CORDOVA 95670 2847 5/2/2001 295 PARKSHORE DR FOLSOM CA 95630 7/9/2001 10/5/2001 7/24/2019 271.8 9.75 2650.05 FRANKLIN RESOURCES 18688 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3366 QUALITY DR RANCHO CORDOVA 95670 2848 7/21/2005 3366 QUALITY DR RANCHO CORDOVA CA 95670 8/11/2005 10/19/2005 136.5 7 955.5 HEALTH NET, INC 20683 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 12033 FOUNDATION PLACE RANCHO CORDOVA 95670 2922 11/15/2007 4151 E. COMMERCE WAY SACRAMENTO CA 95834 2/19/2008 12/5/2008 250 9.75 2437.5 FRANKLIN RESOURCES 22163 ACTIVE IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 3366 QUALITY DR RANCHO CORDOVA 95670 2937 8/30/2009 3366 QUALITY DR RANCHO CORDOVA CA 95670 11/13/2009 6/11/2010 139 6.7 931.3 HEALTH NET, INC 20613 PO-CANCELLED IC ENGINE STANDBY - GENERATOR IC ENGINE COMPRESSION-STANDBY 11031 SUN CENTER RANCHO CORDOVA 95670 3057 10/22/2007 4151 E. COMMERCE WAY SACRAMENTO CA 95834 10/30/2007 5/14/2008 7/31/2021 148.4 9.75 1446.9 Median 9.75
Median HardCo 9.75
Total gal/year 92208.9884
ITEM 10.1. ATTACHMENT 5

VMT Activity Data
Source: Fehr & Peers
2016 2019 2027 2030 2035 2040 2045 2050
daily VMT 2,408,283 2,516,684 2,805,753 2,933,217 3,145,658 3,348,275 3,579,727 3,827,179 annual VMT 879,625,366 919,218,798 1,024,801,283 1,071,357,646 1,148,951,585 1,222,957,444 1,307,495,381 1,397,877,073 % Change from 2019 11% 17% 25% 33% 42% 52%
ITEM 10.1. ATTACHMENT 5

Water Activity Data
2019 2030
Total Demand 87,990.30 128,709.00
2010 2015 2019 2020 2025 2030
SCWA 37314
Surface Water 13060 44143 47846.2 48772 68700 69567
% of total 25% 57% 53% 52% 66% 62%
Ground Water 34125 28837 38143.4 40470 31324 39097
% of total 66% 37% 42% 43% 30% 35%
Recycled Water 4400 4400 4400 4400 4400 4400
% of total 9% 6% 5% 5% 4% 4%
Total Supply 51585 77380 90389.6 93642 104424 113064
% change from 2030 50% 17% 4% 12% 8%
City Planning Area 13238 13238 26478 31830 33018 37314
Surface Water 3351 7552 14016 16578 21722 22958.88203
Ground Water 8757 4933 11174 13756 9904 12903
Recycled Water 1129 753 1289 1496 1391 1452
Total 13238 13238 26478 31830 33018 37314
GSWC
Surface Water 15000 15000 15000 15000 15000 15000
Ground Water 9,518 10,499 10751 10,814 10,829 10,829
Total Supply 24,518 25499 25751 25814 25829 25829
Cal-Am 14477
Ground Water 43600 33650 34074 34180 33550 33910
% of total 92% 67% 65% 65% 62% 60%
Wholesale Purchase 4020 16860 18028 18320 20830 22280
% of total 8% 33% 35% 35% 38% 40%
Total Supply 47620 50510 52102 52500 54380 56190
% change from 2030 6% 3% 1% 4% 3%
City Planning Area 12601 12601 13415 13852 13959 14477
Ground Water 11537 8395 8773 9018 8612 8737
Wholesale Purchase 1064 4206 4642 4834 5347 5740
Total 12601 12601 13415 13852 13959 14477
Source: City of Rancho Cordova Water Supply Evaluation
Microsoft Word - Rancho Water Supply Report 3.7.06.doc (cityofranchocordova.org) AF/year
ITEM 10.1. ATTACHMENT 5

Summary of GHG Emissions (CO2e MT/yr) Associated with Process and Conveyance of Wastewater 2019 2030 (BAU NO LEG REDUCT) 2030 ( LEG REDUCT, RPS)
Community Process Emissions Conveyance Emissions TOTAL Community Community MT CO2e Process Emissions Conveyance Emissions Process Emissions Conveyance Emissions Indirect (electricity) 2,346 Indirect (electricity) 2,954 Indirect (electricity) 0 N20 effluent 3,203 N20 effluent 4,032 N20 effluent 4,032 N20 process 152 N20 process 152 N20 process 152
Biogas 173 Biogas 218 Biogas 218
Total 5,874 346 6,220 Total (MT CO2E) 7,356 4,359 11,715 Total (MT CO2E) 4,403 0 4,403 ITEM 10.1. ATTACHMENT 5

WW Conveyance Emissions Summary 2030 (NO LEG REDUC) 2030 (W LEG REDUC) 2019 KWH MWh CO2e
Community 1,484,320 1484.32 346 MWH CO2e MWH CO2e
Community 18706.72 4358.94 18706.72085 0
Effluent/Person Served 0.030 MG/Person
Population Data
`
City 139,571 City's 2019 Service Population
County Employees Employee Data, Sac County. Todd Taylor SRCSD Service Population 1,400,000 Steve Nebozuk (SRCSD) phone conversation with Dimitri on 9/14/2016 Wastewater Conveyance Intensity Factor Calculation
Energy Data (pumping/conveyance)
Unit Data Year Source
SASD 3,388,861 KWH FY 2014/2015 Christoph Dobson and Wayne Zhuang, SASD on 9/14/2016 SRCSD 11,500,000 KWH 2013 Steve Nebozuk, SRCSD on 9/14/2016 TOTAL 14,888,861 KWH 2015 Used to represent 2015, best available data was used.

Effluent Data (represents all water treated within SRCSD service population) Unit Data Year Source
SRCSD 41,975 Million Gallons/Yr 2019 State of the District 2019 Report Adjusted 31,481 Million Gallons/Yr 2019
WW Conveyance Intensity Factor
354.71 Kwh/MGallon
Annual Growth Rates
Population
Employment
Salam Khan, SASD on 9/16/2016 indicated that City of Folsom, Sacramento, and W. Sac use energ to pump their WW to SRCSD. As such the KWH obtained from SRCSD service population was being underestimated when used in conjunction with the total effluent from the entire serice population. To adjust for this, the total effluent associated with Sacramento, W. Sac, and Folsom, was adjusted by 25% ITEM 10.1. ATTACHMENT 5

SRWTP Existing Electricity Consumption
2019
Total 10,067,581 kwh/yr
Emissions Calculations
Annual electricity consumption 10,067,581 kW-hr/year
electricity conversion rate 1,000 KW-hr/MW-hr 2030
Annual electricity consumption 10,068 MW-hr/year
Electricity provider SMUD unitless NO LEG RED
W LEG

RED (RPS)
Utility's CO2-e emission factor 0.233 MT/MW-hr
Total Annual Community Indirect CO2e (metric tons) 2,954 - 2019 -
Total Annual Community Indirect CO2e (metric tons) 2,346 2030
Emissions Calculations
Annual electricity consumption 12,675,581 kW-hr/year
electricity conversion rate 1,000 KW-hr/MW-hr
Annual electricity consumption 12,676 MW-hr/year
Electricity provider SMUD unitless
Utility's CO2-e emission factor 0.000 MT/MW-hr
2030
Total Annual Community Indirect CO2e (metric tons) -
Supplemental Calculations
Unincorporated Sac County Per Capita Energy Use Calculation Source 100,985,526 Kwh/yr Steve Nebozuk (SRCSD) email to Dimitri Antoniou (Ascent) 8/10/2016 1,400,000 Service Population Steve Nebozuk (SRCSD) phone discussion with Dimitri Antoniou (Ascent) 8/10/2016 72 kwh/person
139,571 2019 City Service Population
10,067,581 2019 RC kWh
175,726 2030 City Service Population
12,675,581 2019 RC kWh
ITEM 10.1. ATTACHMENT 5

Equation 10.3.2.2
2019 Inputs
Value Unit Description
139,571 people 2019 City Service Population

1.25 constant co-discharge waste into sewer

3.2 g N2O/person/year emission factor for nitrification/denitrification 273 GWP N2O
Annual N2O emissions (metric tons CO2e) 152
Annual N2O Municipal emissions (MT CO2e) 0.00
Conversion Factor
1g 0.000001 mt/g
2030
Inputs
Value Unit Description
139,571 people Population
Annual N2O emissions (metric tons CO2e) 152
Process N2O Emissions from WWTP Without Nitrification/Denitrification ITEM 10.1. ATTACHMENT 5

SRWTP Biogas (methane) Combustion
2019
DIRECT EMISSIONS-WWTP Process Emissions
Equation 10.2
Inputs
Term Value Unit Description
population 139,571 people 2019 City Service Population
Digester Gas 1.00 ft^3/person/day cubic feet of digester gas produced per person per day Fraction Methane 0.650 constant fraction of methane in biogas Density Methane 662.000 g/m^3 density of methane
Destruction Efficiency 0.99 constant methane destruction efficiency Conversion Factor 0.0283 constant conversion from ft^3 to m^3 Conversion Factor 365.25 constant conversion from days to year Conversion Factor 0.000001 constant conversion from g to metric tons GWP 27.9 constant global warming potential of methane for CO2e 2030 Community pop 175,726
2019 2030
Annual CO2e emissions (MT) 173 218
Source
California Air Resource Board, California Climate Action Registry, Local Governments for Sustainability, The Climate Registry (2010). Local Government Operations Protocol-For the quantification and reporting of greenhouse gas emissions inventories. Version 1.1.

Stationary CH4 from Incomplete Combustion of Digester Gas ITEM 10.1. ATTACHMENT 5

SRWTP N20 Effluent Emissions
2019
DIRECT EMISSIONS-WWTP Process Emissions
Equation 10.10
Inputs
Term Value Unit Description
City 139,571 people 2019 City Service Population
constant 1.25 Constant co-discharge waste into sewer
N load 0.026 kg N/person/day N per person served
N uptake 0.050 kg N/kg BOD nitrogen uptake for cell growth in aerobic system N2O effluent Emission Factor 0.005 kg N2O N/kg sewage-N BOD Load 0.09 kg BOD/person/day
constant 1.57 Constant molecular weight ratio N2O to N2 constant 0 Constant fraction of nitrogen removed from nitrification/denitrification Conversion Factor 365 days/year
Coversion Factor 0.001 metric ton/kg
N20 Global Warming Potential 298 GWP
2030 Community pop 175,726
2019 2030
Annual Community CO2e emissions (MT) 3,203 4,032
Source
California Air Resource Board, California Climate Action Registry, Local Governments for Sustainability, The Climate Registry (2010). Local Government Operations Protocol-For the quantification and reporting of greenhouse gas emissions inventories. Version 1.1.

Process N2O Emissions from Effluent Discharge1c
ITEM 10.1. ATTACHMENT 5

ITEM 10.1. ATTACHMENT 5

Appendix C
Greenhouse Gas Forecast and
Reduction Target (Technical Memorandum)
ITEM 10.1. ATTACHMENT 5

ITEM 10.1. ATTACHMENT 5

Memo
455 Capitol Mall, Unit 300
Sacramento, CA 95814
916.444.7301
Date: March 29, 2022 (original)
February 23, 2023 (revised)
To: Stefan Heisler and Darcy Goulart (City of Rancho Cordova) From: Alyssa Way, Andrew Martin, and Honey Walters (Ascent Environmental) Subject: City of Rancho Cordova Climate Action Plan, Greenhouse Gas Emissions Forecasts and Reduction Targets – Technical Memorandum

INTRODUCTION
In 2009, the County of Sacramento prepared a baseline inventory for the unincorporated county and the incorporated cities, including specifically a 2005 baseline year inventory for the City of Rancho Cordova (City). The Sacramento Area Council of Governments (SACOG) 2020 Metropolitan Transportation Plan / Sustainable Communities Strategy (MTP/SCS) Draft Environmental Impact Report included a greenhouse gas (GHG) emissions inventory and forecast for 2016, 2030, 2040, and 2050 that included the City. Though the City was considered in both efforts, an updated communitywide GHG emissions inventory using the latest methodologies with a more recent 2019 baseline year has been prepared for the City’s Climate Action Plan (CAP). The next step in this update process is to forecast these GHG emissions for the 2030 target year and 2045 goal. This technical memorandum provides the results of these forecasts as well as associated methods, assumptions, emissions factors, and data sources.

The GHG emissions forecasts will provide a foundation for the forthcoming steps of the CAP development process, including the development of GHG emissions reduction targets and identification of measures the City can take to reduce GHG emissions from activities and sources located in Rancho Cordova.

ORGANIZATION OF THIS MEMORANDUM
This memorandum consists of two main parts:
 Section 1: Summary of Inventory Results presents an overview of the updated GHG emissions inventory (baseline 2019).
 Section 2: Emissions Forecasts summarizes the forecasted GHG emissions under “business-as-usual” (BAU) and legislative-adjusted BAU scenarios for years 2030 and 2045. A BAU scenario is one in which no GHG reductions from actions taken by local, regional, State, or federal agencies are included. A legislative-adjusted BAU scenario reflects GHG reductions from legislative or regulatory actions enacted by regional, State, and federal agencies, without considering any local (City) actions to reduce GHG emissions.

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

1 SUMMARY OF INVENTORY RESULTS

1.1 2019 COMMUNITY INVENTORY RESULTS
Based on the modeling conducted, community activities in 2019 generated approximately 679,706 metric tons of carbon dioxide equivalent (MTCO2e). Major emissions sectors included on-road transportation, residential and nonresidential building energy use, solid waste, water use, and wastewater generation. Table 1 and Figure 1 present the city’s 2019 GHG emissions inventory by sector. A description of each emissions sector, including key sources of emissions, is provided in the Inventory Technical Memorandum, dated March 29, 2022.

Table 1 2019 City of Rancho Cordova Community Greenhouse Gas Emissions Inventory Sectors MTCO2e/year Percent of Total
On-Road Transportation 417,145 61%
Nonresidential Building Energy 118,801 17%
Residential Building Energy 95,575 14%
Solid Waste 22,397 3%
Off-Road Vehicles and Equipment 11,027 2%
Water Supply 9,071 1%
Wastewater Treatment 5,690 1%
Total 679,706 100%
Notes: MTCO2e/year = metric tons of carbon dioxide equivalent per year Source: Ascent Environmental 2022
Source: Ascent Environmental 2022
Figure 1 2019 City of Rancho Cordova Community Greenhouse Gas Emissions Inventory On-Road
Transportation, 61%
Nonresidential
Building Energy, 17%
Residential
Building Energy,
14%
Solid Waste, 3%
Off-Road Vehicles
and Equipment, 2%
Wastewater
Treatment, 1%
Water Supply, 1%
ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

2 GREENHOUSE GAS EMISSIONS FORECASTS TO 2030

2.1 COMMUNITY FORECAST RESULTS
The BAU GHG emissions forecasts provide an assessment of how emissions generated by community activities will change over time without further local, State, or federal action. In addition to accounting for the city’s growth under a BAU scenario, an adjusted BAU forecast was prepared, which includes adopted legislative and regulatory actions at the State and federal levels that would affect emissions without any local action, such as regulatory requirements to increase vehicle fuel efficiency and increase renewable energy sources in grid electricity portfolios. It is important to note that the legislative-adjusted BAU emissions forecasts only include emissions reductions associated with implementation of adopted federal and State legislation and regulations and do not include goals established by executive orders or targets established by federal or State agencies outside of adopted legislation and regulations.

These forecasts provide the City with the information needed to focus efforts on emissions sectors and sources that have the greatest opportunities for GHG emissions reductions.

The BAU forecasts described in this section for 2030 and 2045 are aligned with statewide GHG reduction targets established in State law Senate Bill (SB) 32 and Assembly Bill (AB) 1279. The State GHG reduction targets are to reduce statewide emissions levels to:
 40 percent below 1990 levels by 2030 (SB 32); and
 net zero with at least an 85 percent reduction from 1990 levels for anthropogenic sources (AB 1279).

Estimated BAU emissions forecasts were based on population and employment from the SACOG Growth Forecast for the 2020 Metropolitan Transportation Plan/Sustainable Communities Strategy (MTP/SCS). The SACOG Growth Forecast provides population and employment for 2016 and 2040. These values were interpolated and extrapolated to identify values for 2019, 2030, and 2045. Population and employment are expected to increase by 62 and 36 percent from 2019 to 2045, respectively. These growth factors were used to forecast BAU emissions for most sectors.

Additional information regarding the growth factors used for each sector is included in the following sections. Fehr & Peers provided annual vehicle miles traveled (VMT) projections for the years 2027, 2035, and 2040 based on origindestination data provided by SACOG. Based on these data, annual VMT was interpolated for year 2030 and projected out for 2045. Annual VMT by 2045 is projected to increase by 42 percent from 2019. VMT projections were used to scale emissions from the on-road transportation sector. Table 2 shows projections growth in the city from 2019 to 2045.

Table 2 Rancho Cordova Demographic and Vehicle Miles Traveled Projections Forecast Factor 2019 2030 2045
Population 77,579 102,122 125,427
Employment 61,991 73,604 84,213
Annual VMT 919,218,798 1,071,357,646 1,307,495,381
Notes: VMT = vehicle miles traveled.

Source: SACOG Growth Forecast for the 2020 MTP/SCS; Fehr & Peers; adapted by Ascent Environmental in 2022.

Table 3 shows baseline emissions in 2019 and a BAU emissions forecast for 2030, and 2045.

Table 3 2019 Rancho Cordova Greenhouse Gas Emissions Inventory and BAU Forecast (MTCO2e/year) Sector 2019 2030 2045
ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

On-Road Transportation 417,145 486,187 593,347
Nonresidential Building Energy 118,801 141,055 161,388
Residential Building Energy 95,575 125,811 154,521
Solid Waste 22,397 29,483 36,211
Off-Road Vehicles and Equipment 11,027 14,772 18,488
Water Supply 9,071 11,940 14,665
Wastewater Treatment 5,690 7,490 9,200
Total 679,706 816,738 987,820
Notes: Total may not sum exactly due to independent rounding. BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecast prepared by Ascent Environmental in 2022.

Legislative-adjusted BAU emissions forecasts were prepared using the same demographic and VMT data that were used for the BAU forecasts, while accounting for regional, State, and federal legislative actions that would affect local emissions. These forecasts provide the City with a more robust understanding to assist with the prioritization of emissions reduction measures developed to meet the GHG targets. A summary of the legislative reductions applied is provided in Table 4.

Table 4 Legislative Reductions Summary
Source Legislative Reduction Description Sectors Applied Regional 2030 Zero Carbon Plan Establishes a target for SMUD to supply 100 percent renewable electricity by 2030.

Residential and
Nonresidential
Building Energy,
Water Supply
State
California’s Building Energy
Efficiency Standards (2019 Title
24, Part 6)
Requires all new buildings in California to comply with energy efficiency standards established by CEC. Accounts for the energy efficiency gains associated with lighting, heating, cooling, ventilation, and water heating improvements, as well as onsite solar photovoltaic requirements for low-rise residential.

Residential and
Nonresidential
Building Energy
State Advanced Clean Car I Standards Establishes GHG emission reduction standards for model years 2017 through 2025 that are more stringent than federal CAFE standards.

On-Road
Transportation
State Truck and Bus Regulation Requires diesel trucks and buses that operate in California to be upgraded to reduce GHG emissions.

On-Road
Transportation
Federal
Fuel Efficiency Standards for
Medium- and Heavy-Duty
Vehicles
Establishes fuel efficiency standards for medium- and heavy-duty engines and vehicles.

On-Road
Transportation
Federal EPA Off-Road CompressionIgnition Engine Standards Establishes standards for phasing of EPA diesel engine tiers for offroad compression-ignition equipment.Off-Road Vehicles and Equipment
Notes: CAFE = Corporate Average Fuel Economy; CEC = California Energy Commission; EPA = U.S. Environmental Protection Agency; GHG = greenhouse gas; SMUD = Sacramento Municipal Utility District Source: Forecasts prepared by Ascent Environmental in 2022.

The city’s legislative-adjusted BAU emissions would decrease by approximately 22 percent between 2019 and 2045, as shown below in Table 5 and Figure 2. Figure 2 also shows the emissions trend that would occur without ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

anticipated legislative reductions, accounting only for population, employment, and annual VMT increases. Without the legislative reductions (the BAU forecast), emissions would be 86 percent higher in 2045 compared to the legislative-adjusted BAU forecast. Emissions forecasts are detailed for each sector and discussed below beginning with Section 2.1.1.

Table 5 2019 Rancho Cordova Greenhouse Gas Emissions Inventory and Legislative-Adjusted BAU Forecasts (MTCO2e/year)
Sector 2019 2030 2045
On-Road Transportation 417,145 387,784 384,651
Nonresidential Building Energy 118,801 23,605 25,335
Residential Building Energy 95,575 52,217 55,903
Solid Waste 22,397 29,483 36,211
Off-Road Vehicles and Equipment 11,027 14,772 18,488
Water Supply 9,071 0 0
Wastewater Treatment 5,690 7,490 9,200
Total 679,706 515,352 529,788
Notes: Total may not sum exactly due to independent rounding. BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecasts prepared by Ascent Environmental in 2022.

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

Source: Ascent Environmental 2022
Figure 2 2019 Rancho Cordova Greenhouse Gas Emissions Inventory with BAU and Legislative-Adjusted BAU Forecasts

2.1.1 Building Energy
Emissions from future electricity, natural gas, and backup generator use for buildings were estimated by multiplying anticipated energy use with forecasted emissions factors. Future energy use was forecasted in three parts. First, energy use was scaled by population and employment growth factors detailed in Table 2. Second, electricity emissions factors were adjusted to reflect the Sacramento Metropolitan Utility District’s (SMUD) 2030 Zero Carbon Plan of 100 percent of electricity from zero carbon sources by 2030. Electricity emissions factors are anticipated to decline based on current regulations, while natural gas and diesel emissions factors are anticipated to be constant.

Third, energy intensity factors were adjusted to reflect increased stringency under California’s Building Energy Efficiency Standards (California Code of Regulations Title 24 Part 6, hereafter referred to as “Title 24”). The 2019 Title 24 standards, which became effective in 2020, are expected to achieve decreases in electricity consumption in new construction. The assumptions for energy efficiency and future electricity emissions factors are described below. Table 6 summarizes the scaling factors and legislative reductions used to forecast building use by energy type. 0 200,000
400,000
600,000
800,000
1,000,000
2019 2030 2045
GHG Emissions (MTCO2e)
On-Road Transportation Nonresidential Building Energy Residential Building Energy Solid Waste Off-Road Vehicles and Equipment Water Supply Wastewater Treatment BAU Emissions Leg-Adjusted BAU Emissions ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

Table 6 Building Energy Emissions Forecast Methods and Legislative Reductions by Source Energy Type
Forecast Methods
Scale Factor Applied Legislative Reductions
Electricity Scaled by population growth for residential building energy; scaled by employment
growth for nonresidential building energy.

Scheduled targets (i.e., 100 percent renewable by 2030) applied to SMUD’s emissions factors. Accounts for Title 24 energy efficiency gains in new construction based on the best available data for average building energy efficiency.

Natural Gas
Backup Generators Scaled by employment growth for
nonresidential building energy.

Accounts for Title 24 energy efficiency gains in new
nonresidential construction.

Notes: SMUD = Sacramento Metropolitan Utility District.

Source: Forecasts prepared by Ascent Environmental in 2022.

RESIDENTIAL BUILDING ENERGY
Between 2019 and 2045, electricity and natural gas emissions from residential buildings would decrease by approximately 42 percent from 95,575 to 55,903 MTCO2e per year with legislative adjustments and overall population growth of 62 percent over the same time. While GHG emissions associated with residential electricity usage are anticipated to decline through 2045 and reflect SMUD’s goal for zero carbon electricity by 2030, emissions from residential natural gas consumption are expected to rise gradually. This increase is due to population growth in the city and reflects adopted legislation. Table 7 shows the 2019 inventory and legislative-adjusted BAU forecasted emissions from the residential building energy sector by energy type for 2030 and 2045.

Table 7 2019 Residential Building Energy Greenhouse Gas Emissions Inventory and Legislative-Adjusted BAU Emissions Forecasts (MTCO2e/year)
Energy Type 2019 2030 2045
Electricity 47,238 0 0
Natural Gas 48,336 52,217 55,903
Total 95,575 52,217 55,903
Notes: Totals may not sum exactly due to independent rounding. BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecasts prepared by Ascent Environmental in 2022.

NONRESIDENTIAL BUILDING ENERGY
Between 2019 and 2045, electricity, natural gas, and back-up generator emissions from nonresidential buildings would decrease by 79 percent from 118,801 to 25,335 MTCO2e per year with legislative adjustments and overall employment growth of 36 percent over the same time. GHG emissions associated with nonresidential electricity usage are anticipated to decline through 2045 and reflect SMUD’s carbon neutrality goals and emissions from nonresidential natural gas consumption and backup generators are expected to rise gradually. Table 8 shows the 2019 inventory and legislative-adjusted BAU forecasted emissions for the nonresidential building energy sector by energy type for 2030 and 2045.

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

Table 8 2019 Nonresidential Building Energy Greenhouse Gas Emissions Inventory and Legislative-Adjusted BAU Forecasts (MTCO2e/year)
Energy Type 2019 2030 2045
Electricity 97,089 0 0
Natural Gas 20,769 22,580 24,235
Backup Generators 943 1,025 1,101
Total 118,801 23,605 25,335
Notes: Totals may not sum exactly due to independent rounding. BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecasts prepared by Ascent Environmental in 2022.

Electricity Emissions Factors
Electricity emissions from the building sector are anticipated to decrease to zero by 2030 and beyond without additional City action, despite growth, due to State and regional measures already in place that affect the carbon intensity of grid electricity. SMUD’s emissions factor for CO2 in 2019 was provided by SMUD. Electricity emissions factors for methane (CH4) and nitrous oxide (N2O) were obtained from the U.S. Environmental Protection Agency’s (EPA’s) Emissions & Generation Resource Integrated Database (eGRID) 2018 Annual Output Emissions Rates (EPA 2020).

California utility providers, including SMUD, were scheduled to reach a 33 percent renewable electricity generation mix in 2020 and, pursuant to SB 100, are scheduled to achieve 60 percent renewable electricity by 2030 and 100 percent carbon-free electricity by 2045. However, SMUD’s is scheduled to achieve 100 percent renewable by 2030 under the utility’s carbon neutrality goal. SMUD’s 2019 emissions factors is 232.1 grams of CO2 per kilowatt hour (g CO2/kWh). The carbon-free electricity requirement results in a 2030 and 2045 emissions factor of zero g CO2/kWh.

CH4 and N2O electricity emissions factors in future years are assumed to follow the same trends as the CO2 emissions factors.

Natural Gas Emissions Factors
Natural gas emissions are based on emissions factors obtained from The Climate Registry’s (TCR’s) 2020 Default Emission Factors, which are estimated to be 5,306 pounds of carbon dioxide equivalent per therm (g CO2e/therm) for stationary combustion in buildings. Emissions factors associated with natural gas combustion are not anticipated to change over time, as there are no legislative actions that would reduce the energy intensity of natural gas.

Diesel Emissions Factors
Emissions from diesel fuel used to power backup generators are based on emissions factors from TCR, which are estimated to be 10,210 grams of carbon dioxide equivalent per gallon (g CO2e/gal). Emissions factors associated with diesel combustion are not anticipated to change over time, as there are no legislative actions that would reduce the energy intensity of diesel.

Energy Efficiency
Title 24 standards apply to both new construction and existing buildings. The 2019 Title 24 standards went into effect January 2020. The California Energy Commission (CEC) estimates that new residential buildings built to the 2019 standards are 53 percent more efficient than residential buildings built to the previous standards (CEC 2018). CEC estimates that new nonresidential buildings built to the 2019 standards are 30 percent more efficient than nonresidential buildings built to the previous standards (CEC 2018).

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

In addition to the current iteration of Title 24, previous versions of the standards have also achieved energy efficiencies for residential and nonresidential buildings. Energy efficiency savings have been quantified by CEC and the collective effect of Title 24 was accounted for in the forecasted emissions. Based on these data, the analysis assumes that all new residential construction occurring between 2020 and 2045 would be 75 percent more energy efficient than buildings constructed under previous Title 24 standards, and nonresidential construction would be 53 percent more energy efficient compared to buildings constructed under previous Title 24 standards. This includes the energy efficiencies gained through the 2008, 2013, 2016, and 2019 versions of Title 24. Additional efficiencies to be achieved in future code cycles are yet unknown and therefore not factored into the forecast.

2.1.2 Transportation

ON-ROAD TRANSPORTATION
Between 2019 and 2045, annual legislative-adjusted BAU GHG emissions from on-road vehicles would decrease by approximately 8 percent from 417,147 to 384,651 MTCO2e per year based on future vehicle emission factors modeled in the California Air Resources Board’s (CARB’s) Emission Factor (EMFAC) 2017 model, despite an increase in VMT of 42 percent. VMT projections were provided by Fehr & Peers based on origin-destination data from SACOG. With respect to the legislative adjustments included in this forecast, State and federal regulations incorporated in the onroad vehicle sector include the Advanced Clean Car I (ACC) Standards, and fuel efficiency standards for medium- and heavy-duty vehicles. These standards are included in EMFAC2021’s emissions factor estimates and forecasts. It should be noted that the Low Carbon Fuel Standard was excluded in EMFAC2021 forecasts because the emissions benefits originate from upstream fuel production and do not directly reduce vehicle tailpipe emissions that affect the city’s GHG emissions forecasts. Table 9 summarizes the scaling factor and legislative reductions used to forecast on-road transportation emissions.

Table 9 On-Road Transportation Forecast Methods and Legislative Reductions Source
Forecast Methods
Scale Factor Applied Legislative Reductions
On-Road Vehicles
Scaled by VMT estimates
provided by Fehr &
Peers.

EMFAC2021 forecasts vehicle fleet distributions by vehicle type and the emissions factors anticipated for each vehicle category based on both vehicle emissions testing and approved legislative reductions. EMFAC2021’s forecasts incorporate the effects of the ACC I Standards, and fuel efficiency standards for medium- and heavy-duty vehicles, as well as truck and bus regulations.

Notes: ACC I = Advanced Clean Cars I; CAFE = Corporate Average Fuel Economy; EMFAC2021 = California Air Resources Board’s EMisson FACtor 2021 model.

Source: Forecasts prepared by Ascent Environmental in 2022.

Table 10 shows the 2019 inventory and legislative-adjusted BAU forecasted emissions from on-road transportation for 2030 and 2045.

Table 10 2019 On-Road Transportation Greenhouse Gas Emissions Inventory and Legislative-Adjusted BAU Forecasts (MTCO2e/year)
EMFAC Vehicle
Category EMFAC Vehicle Category Description 2019 2030 2045 LDA Passenger Cars 148,453 132,269 142,439
ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

LDT2 Light-Duty Trucks (GVWR <6000 lb) 78,535 73,483 80,220 MDV Medium-Duty Trucks (GVWR 5751-8500 lb) 65,206 60,725 65,244 LDT1 Light-Duty Trucks (GVWR <6000 lb) 17,554 17,356 18,083 LHD1 Light-Heavy-Duty Trucks (GVWR 8501- 10000 lbs) 29,056 28,522 19,887 T7 Trucks Heavy-Heavy Duty Trucks 38,318 36,057 31,532
T6 Trucks Medium-Heavy Duty Trucks 23,818 23,123 14,868 LHD2 Light-Heavy-Duty Trucks (GVWR 10001- 14000 lb) 7,083 7,041 5,053 MCY Motorcycles 891 987 1,161
MH Motor Homes 1,826 2,033 2,440
UBUS Urban Buses 1,597 1,384 7
OBUS Other Buses 1,515 1,516 915
SBUS School Buses 897 935 667
All Other Buses All Other Buses 749 743 849
PTO Power Take Off 1,138 1,051 658
Motor Coach Motor Coach 511 561 630
Total - 417,145 387,784 384,651
Notes: Totals may not sum exactly due to independent rounding. BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecasts prepared by Ascent Environmental in 2022.

OFF-ROAD VEHICLES AND EQUIPMENT
Between 2019 and 2045, emissions associated with off-road vehicles and equipment used in the city would increase by 69 percent from 12,470 to 21,074 MTCO2e per year, with legislative adjustments applied and overall growth in various demographics. Emissions were obtained from CARB’s OFFROAD2007 and OFFROAD2021 models. With respect to the legislative adjustments in the off-road vehicle sector, CARB’s latest off-road emissions model, OFFROAD2021, was used, which incorporates regulatory actions such as reformulated fuels and more stringent emission standards. However, some off-road vehicle and equipment sources that are included in the OFFROAD2007 model are excluded from OFFROAD2021. For these sectors, emissions were obtained from OFFROAD2007. In addition, OFFROAD2021 provides CO2 emissions but does not provide emissions from CH4 and N2O. Ratios of CH4 and N2O to CO2 reported in OFFROAD2007 were calculated and applied to CO2 data from OFFROAD2021 to calculate CH4 and N2O emissions, as recommended by CARB.

Sacramento County-level emissions from off-road vehicles and equipment were scaled using changes in city-specific demographic factors. Table 11 summarizes the scaling factors and legislative reductions used to forecast off-road vehicle and equipment emissions.

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

Table 11 Off-Road Vehicles and Equipment Forecast Methods and Legislative Reductions by Source Source
Forecast Methods
Scale Factor Applied Legislative Reductions
Construction and Mining Equipment Service Population
OFFROAD2007 and OFFROAD2021 emission
factor considerations include EPA off-road
compression-ignition engine standards
implementation schedule.

Entertainment Equipment Employment
Industrial Equipment Employment
Lawn and Garden Equipment Population
Light Commercial Equipment Employment
Portable Equipment Employment
Recreational Equipment Population
Transportation Refrigeration Units Service Population
Notes: EPA = U.S. Environmental Protection Agency; OFFROAD2007 = California Air Resources Board’s OFFROAD2007 model; OFFROAD2021 = California Air Resources Board’s OFFROAD2021 model.

Source: Forecasts prepared by Ascent Environmental in 2022.

Table 12 shows the 2019 inventory and legislative-adjusted BAU forecasted emissions from the off-road vehicles and equipment sector for 2030 and 2045.

Table 12 2019 Off-Road Vehicles and Equipment Greenhouse Gas Emissions Inventory and LegislativeAdjusted BAU Forecasts (MTCO2e/year) Source 2019 2030 2045
Construction and Mining Equipment 5,350 7,500 9,675
Entertainment Equipment 54 67 80
Industrial Equipment 1,426 1,787 2,129
Lawn and Garden Equipment 138 211 287
Light Commercial Equipment 839 1,052 1,253
Portable Equipment 2,478 3,105 3,699
Recreational Equipment 81 123 168
Transportation Refrigeration Units 661 927 1,196
Total 11,027 14,772 18,488
Notes: Totals may not sum exactly due to independent rounding. BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecasts prepared by Ascent Environmental in 2022.

2.1.3 Solid Waste
Between 2019 and 2045, solid waste emissions generated from community activities in the city would increase by approximately 62 percent from 22,397 to 36,211 MTCO2e, due to overall population growth of approximately 62 percent over the same period. Solid waste sector emissions include CH4 emissions from the decay of waste generated annually, which were scaled by population growth within the city between 2019 and 2045. There are no applicable legislative reductions to apply to this sector and future disposal rates, so legislative-adjusted BAU emissions are equivalent to BAU emissions. Table 13 shows the 2019 inventory and legislative-adjusted BAU forecasted emissions from the solid waste sector for 2030 and 2045.

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

Table 13 2019 Solid Waste Greenhouse Gas Emissions Inventory and Legislative-Adjusted BAU Forecasts (MTCO2e/year)
Source 2019 2030 2045
Community-Generated Solid Waste 22,397 29,483 36,211
Notes: Totals may not sum exactly due to independent rounding. BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecasts prepared by Ascent Environmental in 2022.

2.1.4 Water Supply
Between 2019 and 2045, water supply emissions from community activities in the city would be reduced to zero by 2030 onward due to SMUD’s 2030 Zero Carbon Plan. Table 14 summarizes the scaling factor and legislative reduction used to forecast water supply emissions.

Table 14 Water Supply Forecast Methods and Legislative Reductions by Source Source
Forecast Methods
Scale Factor Applied Legislative Reductions
Water Consumption Population growth. Assumes electricity use for extraction, conveyance, distribution, and treatment follow the 2030 goal of carbon-free electricity.

Source: Forecasts prepared by Ascent Environmental in 2022.

Table 15 shows the 2019 inventory and legislative-adjusted BAU forecasted emissions from the water supply sector for 2030 and 2045.

Table 15 2019 Water Supply Greenhouse Gas Emissions Inventory and Legislative-Adjusted BAU Forecasts (MTCO2e/year)
Source 2019 2030 2045
Water Supply 9,070 0 0
Notes: BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecasts prepared by Ascent Environmental in 2022.

2.1.5 Wastewater Treatment
Between 2019 and 2045, wastewater treatment emissions from the community would increase by 62 percent from 5,690 to 9,200 MTCO2e per year, accounting for overall population growth of 62 percent over the same time.

Wastewater treatment-related emissions are generated from centralized wastewater treatment plants (WWTPs). Table 16 shows the 2019 inventory and legislative-adjusted BAU forecasted emissions from wastewater treatment sources for 2030 and 2045.

Table 16 2019 Wastewater Treatment Greenhouse Gas Emissions Inventory and Legislative-Adjusted BAU Forecasts (MTCO2e/year)
Source 2019 2030 2045
Centralized WWTPs 5,690 7,490 9,200
Notes: BAU = business-as-usual; MTCO2e/year = metric tons of carbon dioxide equivalent per year.

Source: Forecasts prepared by Ascent Environmental in 2022.

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

2.1.6 Discussion
As discussed above, the community legislative-adjusted BAU emissions would decrease by 22 percent between 2019 and 2045. This is a result of reductions that would be achieved from several regional, State, and federal legislative actions including:
 100 percent of electricity from zero carbon sources by 2030;  improved building energy efficiency through compliance with Title 24 standards (75 percent energy reduction for residential, 53 percent for nonresidential); and
 reductions in on-road vehicle emissions factors forecasted in EMFAC2021 and off-road vehicle and equipment emissions factors forecasted in OFFROAD2021.

From 2030 to 2045, new legislative actions that would affect emissions are anticipated to be adopted by the State and federal government; however, because information regarding these regulatory changes is currently unavailable or not final, emissions reductions from future potential legislative actions are not quantified in this memorandum.

Without future legislative actions and despite growth in the city, emissions would decline from 2019 through 2045.

Additional reductions could occur in the future due to State and/or federal actions requiring improvements in vehicle and equipment fuel economy and increased share of electric vehicle and equipment options, which would be reflected in future updates to the EMFAC2021 and OFFROAD2021 models. Other previous legislative actions would also continue to apply in the future and ultimately outpace growth in population and employment. Where new State regulations or programs are imminent and reasonably foreseeable, they can be incorporated as complementary actions to locally based GHG reduction measures.
3 REDUCTION TARGETS

3.1 STATEWIDE GREENHOUSE GAS REDUCTION TARGETS AND
GOALS
As directed in AB 32, SB 32, and AB 1279, the State aims to reduce annual GHG emissions to:
 1990 levels by 2020;
 40 percent below 1990 levels by 2030; and
 Net zero emissions with at least an 85 percent reduction from 1990 levels for anthropogenic sources Signed on September 16, 2022, AB 1279, the California Climate Crisis Act, established a statewide goal to achieve net zero emissions as soon as possible, and no later than 2045, and achieve net negative emissions thereafter, and to ensure that by 2045, statewide anthropogenic greenhouse gas emissions are reduced to at least 85 percent below 1990 levels..

The City aims to reduce its fair-share of communitywide emissions in proportion to the State’s targets and goals.

Community emissions levels from 1990 are not available, which is the case for most local jurisdictions in California.

Thus, community GHG reduction targets for the City’s CAP were developed relative to the 2019 community emissions inventory, consistent with guidance provided by CARB. The methodology used to calculate the City’s emissions reduction targets is described below.

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

3.2 COMMUNITY GREENHOUSE GAS EMISSIONS REDUCTION

TARGETS
Based on a review of the 2017 Scoping Plan and the 2022 Scoping Plan and an understanding of activities occurring within the city, the City has direct or indirect jurisdiction over activities that generate emissions and contribute to reductions in four of the eight emissions sectors included in the 2017 Scoping Plan and the 2022 Scoping Plan:
residential and commercial, electric power, recycling and waste, and transportation. The City has limited influence over high GWP gases, and industrial activities in the city are limited. Lastly, while facilities regulated under Cap-andTrade do exist within city boundaries, the State is responsible for achieving emissions reductions from these sources, and the City has limited ability to influence Cap-and-Trade facilities’ GHG emissions. Therefore, by excluding these sectors under this approach, community GHG reduction targets have been established in proportion with statewide reductions for all sectors relevant to City jurisdiction to the extent feasible using available data. This target setting approach is consistent with the California Supreme Court decision in Center for Biological Diversity v. California Department of Fish and Wildlife and Newhall Land and Farming (2015) 62 Cal.4th 204, which determined that the approach of assessing a project’s consistency with statewide emissions reduction goals must include a “reasoned explanation based on substantial evidence” that links the project’s emission to the statewide GHG reduction goals.

The City kicked off the project in 2021 after which the City prepared GHG emissions inventories and forecasts and set GHG reduction targets. CARB’s 2017 Scoping Plan was the adopted statewide Plan at the time the targets were developed and hence was used for setting the City’s 2030 target and developing emissions reduction strategies and measures that meet the 2030 target. The City’s 2045 goal has been developed using the 2022 Scoping Plan (adopted in December 2022) in response to the statewide 2045 GHG reduction goal established in AB 1279. The following sections detail the methodology for setting the City’s 2030 target and 2045 goal:
2030 Emissions Reduction Target
The first step in determining community targets is to compare the State’s GHG inventories for 1990 and 2019 (i.e., the City’s baseline inventory year) for the four relevant sectors. According to the inventories available from CARB using the 2017 Scoping Plan, statewide emissions from the relevant sectors were approximately 431 million MTCO2e (MMTCO2e) in 1990 and 418 MMTCO2e in 2019 (CARB 2021) (note: sector-specific emissions totals and reductions reflect rounding). Thus, 2019 statewide emissions were approximately 13 MMTCO2e (3 percent) lower than the 1990 level and the State’s 2020 GHG target (i.e., reduce emissions to 1990 levels by 2020).

According to the 2017 Scoping Plan, statewide emissions from sectors relevant to the City’s inventory must be reduced to 311 MMTCO2e by 2020 for the State to achieve its 2020 target. CARB’s statewide inventory reports 2019 emissions levels of 278 MMTCO2e for these sectors, which demonstrates the achievement of the 2020 target.

According to the 2017 Scoping Plan, statewide emissions from the sectors relevant to the City’s inventory must be reduced to 179 MMTCO2e by 2030 for the State to achieve its 2030 target. This represents an emissions reduction of approximately 99 MMTCO2e, or 36 percent, by 2030, relative to 2019 levels of 278 MMTCO2e. 2045 Emissions Reduction Goal
The first step in determining community targets is to compare the State’s GHG inventories for 1990 and 2019 (i.e., the City’s baseline inventory year) for the four relevant sectors. According to the inventories available from CARB using the 2022 Scoping Plan, statewide emissions from the relevant sectors were approximately 438 million MTCO2e (MMTCO2e) in 1990 and 418 MMTCO2e in 2019 (CARB 2021) (note: sector-specific emissions totals and reductions reflect rounding). Thus, 2019 statewide emissions were approximately 20 MMTCO2e (5 percent) lower than the 1990 level and the State’s 2020 GHG target (i.e., reduce emissions to 1990 levels by 2020).

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

According to the 2022 Scoping Plan, statewide emissions from sectors relevant to the City’s inventory must be reduced to 311 MMTCO2e by 2020 for the State to achieve its 2020 target. CARB’s statewide inventory reports 2019 emissions levels of 278 MMTCO2e for these sectors, which demonstrates the achievement of the 2020 target.

According to the 2022 Scoping Plan, statewide emissions from the sectors relevant to the City’s inventory must be reduced to 53 MMTCO2e by 2045 for the State to achieve its 2045 goal. This represents an emissions reduction of approximately 330 MMTCO2e, or 81 percent, by 2030, relative to 2019 levels of 278 MMTCO2e.

Consistent with State targets and goals and considering relevant emissions sectors, the City’s community GHG reduction targets are as follows:
 2030 target: 36 percent below 2019 levels (438,283 MTCO2e); and  2045 target: 81 percent below 2019 levels (129,252 MTCO2e) Table 17 shows how the City’s targets were derived based on adjusted statewide GHG emissions data and projections and summarizes the City’s legislative-adjusted BAU forecasts and targets for 2030 and 2045.

Table 17 Rancho Cordova GHG Emissions Reduction Targets and Legislative-Adjusted BAU Summary Source 2019 2030 2045
2017 Scoping Plan Emissions Limit (MMTCO2e) NA 259 NA
Adjusted 2017 Scoping Plan Emissions Limit1(MMTCO2e) NA 179 NA 2022 Scoping Plan Emissions Limit (MMTCO2e) NA NA 66
Adjusted 2022 Scoping Plan Emissions Limit1(MMTCO2e) NA NA 53 Statewide Target Percent Reduction from 2019 Levels NA 36% 85% Baseline Emissions and Legislative-Adjusted BAU Forecast (MTCO2e) 679,706 515,352 529,788
Target Percent Reduction Below Baseline (%) NA 36% 81%
Target Annual Emissions (MTCO2e) NA 438,283 129,252
Reduction Needed to Meet Target (MTCO2e) NA 77,070 400,536 Notes: BAU = business-as-usual; GHG = greenhouse gases; MTCO2e = metric tons of carbon dioxide equivalent; MMTCO2e = million metric tons of carbon dioxide equivalent; NA = not available; 2017 Scoping Plan = California’s 2017 Climate Change Scoping Plan. 1 Excludes agriculture, high GWP, industrial, and cap-and-trade sectors because they are not relevant to the City’s inventory.

Source: CARB 2017; Ascent Environmental 2022.

Figure 3 below depicts the 2019 baseline and legislative-adjusted BAU GHG emissions forecasts by sector, as distinguished by the colored wedges. The sum of the wedges represents the anticipated annual GHG emissions each year. Each wedge shows how an emissions sector is expected to contribute to the community-wide GHG inventory over time. The black line indicates the City’s GHG reduction target for 2030 and 2045 relative to the City’s 2019 GHG inventory, consistent with guidance provided by CARB.

The City’s 2030 GHG reduction target would be 36 percent below 2019 levels (438,283 MTCO2e), and 81 percent below 2019 levels (129,252 MTCO2e) by 2045. The space between the trajectory of the black line and the top of the colored wedges represents the “gap” in emissions that will need to be addressed through local actions for the City to meet its future GHG reduction targets. These emissions reductions are in addition to anticipated reductions provided ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

by legislative actions at the State and federal levels. Supporting information and detailed calculation results are included in Attachment A.

Source: Ascent Environmental 2022
Figure 3 Rancho Cordova Legislative-Adjusted Business-as-Usual Forecast Emissions by Sector and 2030 Emission Reduction Target and 2045 Emission Reduction Goal 0 100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
2019 2030 2045
GHG Emissions (MTCO2e)
On-Road Transportation Nonresidential Building Energy Residential Building Energy Solid Waste Off-Road Vehicles and Equipment Wastewater Treatment Water Supply Reduction Target and Goal
ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Climate Action Plan
GHG Emissions Forecasts and Reduction Targets
February 22, 2023

REFERENCES
California Air Resources Board. 2017. California’s 2017 Climate Change Scoping Plan. Available:
https://ww2.arb.ca.gov/sites/default/files/classic/cc/scopingplan/scoping_plan_2017.pdf. Accessed March 2, 2022.

California Air Resources Board. 2022. California’s 2022 Climate Change Scoping Plan. Available:
https://ww2.arb.ca.gov/sites/default/files/2022-12/2022-sp_1.pdf. ———. 2021. California GHG Emissions for 2000 to 2019 (2021 Edition). Available:
https://www.arb.ca.gov/cc/inventory/data/data.htm. Accessed March 2, 2022.

California Energy Commission. 2018 (March). 2019 Building Energy Efficiency Standards Frequently Asked Questions.

Available: https://www.energy.ca.gov/sites/default/files/2020- 03/Title_24_2019_Building_Standards_FAQ_ada.pdf. Accessed February 7, 2022.

CARB. See California Air Resources Board.

CEC. See California Energy Commission.

EPA. See U.S. Environmental Protection Agency.

Fehr & Peers. 2021. Review of Rancho Cordova VMT Data. Technical Memorandum.

TCR. See The Climate Registry.

The Climate Registry. 2020. 2020 Default Emission Factor Document. Available:
https://www.theclimateregistry.org/wp-content/uploads/2020/04/The-Climate-Registry-2020-DefaultEmission-Factor-Document.pdf. Accessed February 7, 2022.

U.S. Environmental Protection Agency. 2020. Emissions & Generation Integrated Database (eGRID), Annual Output Emissions Rates. Available: https://www.epa.gov/egrid/download-data. Accessed February 7, 2022.

ITEM 10.1. ATTACHMENT 5

ITEM 10.1. ATTACHMENT 5

Appendix D
Greenhouse Gas Reduction
Target Worksheet
ITEM 10.1. ATTACHMENT 5

ITEM 10.1. ATTACHMENT 5

2045 Goal
California GHG Emissions Inventory (by scoping plan sector) Included Emissio 2019
Agriculture 31.8
Commercial and 43.8
Electric Power 58.8
High GWP 20.6
Industrial 88.2
Recycling and 8.9
Transportation 166.1
CARB Scoping Plan Emissions Targets by Sector
CARB GHG Inventory 2045 Target Ranges
Sectors 1990 2019 2022 Scoping Plan Scenario
Agriculture 26 32 14
Residential and Com 44 44 4
Electric Power 108 59 31
High GWP 3 21 9
Industrial 98 88 18
Recycling and Wast 7 9 8
Transportation 152 166 10
Cap-and-Trade Program 0
CDR -80
Natural and Workin -7 26 -30
Total 431 444 -15
Source: California PATHWAYS Model Outputs, Energy & Environmental Economics, May 02, 2022 Natural and Working Lands data for the California Air Resources Board's 2022 Scoping Plan Update, CARB, May 10th, 2022 Applicable Emission Sectors
Emission Sectors
Applicable to Rancho
Cordova?
Agriculture No
Residential and Com Yes
Electric Power Yes
High GWP No
Industrial No
Recycling and Wast Yes
Transportation Yes
Cap and Trade No
GHG Reduction Targets
Milestone Year
Statewide Existing and
Target Emissions
(MMTCO2e)
Target Percent
Reduction from 2019
Statewide Existing and Target
Emissions (MMTCO2e)
Target Percent Reduction
from 2019
1990 438 NA
2019 418 NA 278
2020 438 -5% 311 -12%
2045 66 85% 53 81%
Target Emissions Target Percent
Reduction from 2019
2019 679,706 --
2045 129,252 81%
Source: CARB 2021. California GHG Emissions for 2000 to 2019 (2021 Edition). https://www.arb.ca.gov/cc/inventory/data/data.htm Rancho Cordova Target Emissions and Target Percent Reduction from 2019 Emissions Levels
Notes: CARB statewide inventory current through 2019. 2040 target interpolated between 2030 target and 2045 goal under AB32, SB32, and EO B-55-18.

Source: CARB 2021. California GHG Emissions for 2000 to 2019 (2021 Edition). https://www.arb.ca.gov/cc/inventory/data/data.htm All Sectors Selected Sectors
ITEM 10.1. ATTACHMENT 5

2030 Target
California GHG Emissions Inventory (by scoping plan sector) Included Emis2019
Agriculture 31.8
Commercial 43.8
Electric Power 58.8
High GWP 20.6
Industrial 88.2
Recycling and 8.9
Transportation 166.1
CARB Scoping Plan Emissions Targets by Sector
CARB GHG Inventory 2030 Scoping Plan
Range
Sectors 1990 2019
Agriculture 26 32 24
Residential and 44 44 38
Electric Power 108 59 30
High GWP 3 21 8
Industrial 98 88 83
Recycling and W 7 9 8
Transportation 152 166 103
Cap-and-Trade n/a n/a -34
Natural and Wo -7
Total 431 418 260
Note: the Scoping Plan-reported emissions by sector reflect rounding.

Applicable Emission Sectors
Emission Secto
Applicable to Rancho
Cordova?
Agriculture No
Residential and Yes
Electric Power Yes
High GWP No
Industrial No
Recycling and W Yes
Transportation Yes
Cap and Trade No
GHG Reduction Targets
Selected Sectors
Milestone Year
Statewide Existing and
Target Emissions
(MMTCO2e)
Target Percent Reduction
from 2019
Statewide Existing
and Target
Emissions
(MMTCO2e)
Target Percent
Reduction from 2019
1990 431 NA
2019 418 NA 278
2020 431 -3% 311 -12%
2030 259 38% 179 36%
Target Emissions Target Percent Reduction
from 2019
2019 679,706 --
2030 438,283 36%
Rancho Cordova Target Emissions and Target Percent Reduction from 2019 Emissions Levels
Source: CARB 2021. California GHG Emissions for 2000 to 2019 (2021 Edition). https://www.arb.ca.gov/cc/inventory All Sectors
Source: CARB 2021. California GHG Emissions for 2000 to 2019 (2021 Edition). https://www.arb.ca.gov/cc/inventory Notes: CARB statewide inventory current through 2019. 2040 target interpolated between 2030 target and 2045 goal under AB32, SB32, and EO B-55-18.

Source: 2017 Climate Change Scoping Plan. Table 3.
https://www.arb.ca.gov/cc/scopingplan/scoping_plan_2017.pdf ITEM 10.1. ATTACHMENT 5

Appendix E
Greenhouse Gas Reduction
Strategies and Measures Worksheet
ITEM 10.1. ATTACHMENT 5

ITEM 10.1. ATTACHMENT 5

Summary Sheet
Summary of Getting To, From, and Around the City (On-road Transportation Sector) measures Calculations sheets: Getting To, From, and Around the City (On-road Transportation Sector) Summary of Using Energy in Homes and Businesses (Building Energy Sector) measures Calculations sheets: Using Energy in Homes and Businesses (Building Energy Sector) Summary of Using Equipment for Landscaping and Construction (Off-Road Vehicle and Equipment Sector) measures Calculations sheets: Using Equipment for Landscaping and Construction (Off-Road Vehicle and Equipment Sector) Summary of Using Water and Disposing of Waste at Homes and Businesses (Water and Solid Waste Sectors) measures Calculations sheets: Using Water and Disposing of Waste at Homes and Businesses (Water and Solid Waste Sectors) Summary of Planting and Managing Trees (Carbon Sequestration Sector) measures Calculations sheets: Planting and Managing Trees (Carbon Sequestration Sector) Table of Contents
ITEM 10.1. ATTACHMENT 5

Summary Sheet
Strategy Code and Title Measure Code Measure Title
GHG Reduction
Potential in 2030
(MTCO2e)
GHG
Reduction
Potential in
2045
(MTCO2e)
Percent of Total
Reductions in
2030
Percent of
Total
Reductions in
2045
Transportation-1.1
Enforce the City’s Transportation Impact Guidelines, which require developers to include features in their projects that decrease the amount of driving alone and encourage people to make trips by walking, biking, or using public transit
6,669 17,134 8% 6%
Transportation-1.2 Reduce or eliminate requirements to provide a minimum number of off-street parking spaces in new development projects NA NA NA NA
Transportation-1.3 Improve street connectivity, for example by providing walkways at the ends of existing cul-de-sacs, or requiring walkable street systems in new developments NA NA NA NA Transportation-1.4 Limit the number of drive-through businesses NA NA NA NA Transportation-2.1 Update Bike and Pedestrian Master Plans to increase the number of low-stress bikeways and walkways that connect homes to destinations 11,536 12,755 14% 4% Transportation-2.2 Install roundabouts to control traffic at intersections, instead of stop signs or traffic signals NA NA NA NA Transportation-2.3 Provide temporary or permanent car-free zones or “slow streets” in specified areas, for example, individual blocks or residential streets NA NA NA NA
Transportation-2.4 Install measures to reduce vehicle speeds and calm traffic on city streets NA NA NA NA Transportation-3.1 Increase the frequency of SacRT bus, CordoVan service, and/or light rail service, or extend service to cover new areas or times of day
Transportation-3.2 Implement Transit-Supportive Roadway Treatments (for example, transit signal priority, bus-only signal phases, queue jumps, curb extensions to speed passenger loading, and dedicated bus lanes) Transportation-3.3 Provide discounted or fare-free transit service (could be universal or targeted to specific areas and/or populations, for example, youth under 18)
Transportation-3.4 Expand the SmaRT Ride area and convert the shuttles to electric shuttles Transportation-4.1
Implement a Commuter Trip Reduction Program (CTR) in which companies provide employees with services, infrastructure, and incentives for not driving alone to work and instead ridesharing, taking transit, biking, walking, or teleworking
3,845 6,803 5% 2%
Transportation-4.2 Implement an Electric Vehicle Carshare Program in which vehicles are available for users on-demand for short-term rentals NA NA NA NA
Transportation-4.3 Implement a bikeshare/scooter share program in which conventional or electric powered bikes or scooters are available to users on-demand for short-term rentals NA NA NA NA Transportation-4.4
Provide Community-Based Travel Planning (CBTP) to households in the city in which trained travel advisors visit households to provide them with customized information, incentives, and support to encourage use of transportation options other than driving alone

NA NA NA NA
Transportation-5.1 Install EV chargers in new residential, commercial, and industrial projects Transportation-5.2 Install publicly accessible EV chargers on existing private property Transportation-5.3 Install EV chargers on public property Transportation-5.4 Electrify loading docks and/or require idling-reduction systems NA NA NA NA Transportation-5.5 Limit new gasoline/diesel fueling stations NA NA NA NA Strategy Energy-1a. Increase energy
efficiency and electrification in existing
residential
buildings
Energy-1.1 Retrofit existing residential buildings to improve energy efficiency and reduce natural gas consumption for end uses like space and water heating, clothes drying, cooking 9,667 29,002 12% 9% Strategy Energy-1b. Increase energy
efficiency and electrification in existing
nonresidential
buildings
Energy-1.2 Retrofit existing nonresidential buildings to improve energy efficiency and reduce natural gas consumption for end uses like space and water heating, clothes drying, cooking. 2,077 9,969 3% 3% Strategy Energy-2a. Increase energy
efficiency and electrification in new
residential buildings
Energy-2.1 Require new residential development to be all-electric, zero net energy (ZNE) buildings (where the amount of energy used in a year equals the amount of energy generated on the site) 1,411 5,097 2% 2% Energy-2b Increase energy efficiency
and electrification in new
nonresidential
buildings
Energy-2.2 Require new nonresidential development to achieve energy efficiency above minimum State building code requirements (CAL Green Tier 2) 428 1,545 0% 1%
Offroad-1.1 Replace existing gasoline and diesel-powered landscaping equipment with electric or zero emission alternatives 83 138 0% 0%
Offroad-1.2 Convert new landscaping equipment to electric or zero-emission alternatives 46 123 0% 0% Offroad-2.1 Increase electrification and use of alternative fuels in construction projects 1,681 9,248 2% 3% Offroad-2.2 Reduce construction vehicle idling NA NA NA NA Water-1.1 Reduce indoor water use in existing and new buildings 0 0 NA NA Water-1.2 Reduce outdoor water use for landscaping and irrigation in existing and new developments 0 0 NA NA Solid Waste-1.1 Increase recovery of edible food waste
Solid Waste-1.2 Eliminate disposal of organic waste in landfills (food waste, yard waste) Strategy Carbon Sequestration-1.

Remove emissions from the
atmosphere
Carbon Storage-1.1 Increase the number of trees in the city, through new plantings and management of existing trees 441 1,042 1% 0% Total Reductions from City Measures 79,628 307,625
Legislative-Adjusted BAU Forecast Emissions (without CAP measures) 515,352 529,788 Target Percent Reduction below 2019 Levels 36% 81%
Target Annual Emissions 438,283 129,252
Reductions Needed to Achieve Target 77,070 400,536
Legislative-Adjusted BAU Forecast Emissions with CAP Measures 435,724 222,163 Gap Needed to Achieve Target* -2559 92,911
Percent of Target Achieved 103% 77%
10,204
26,997 171,334
Using Energy in Homes and Businesses (Building Energy Sector) Planting and Managing Trees (Carbon Sequestration Sector) Using Water and Disposing of Waste at Homes and Businesses (Water and Solid Waste Sectors) 32,590 11% 11%
Strategy Water-1. Conserve water
5,768
Strategy Solid Waste-1. Avoid disposal
of organic waste in landfills 8,845
Strategy Offroad-2. Transition to
electric and zero emissions
technologies for construction
equipment
Strategy Offroad-1. Transition to
electric and zero emissions
technologies for landscaping
equipment
Using Equipment for Landscaping and Construction (Off-Road Vehicle and Equipment Sector) 34% 56%
Strategy Transportation-5. Transition
to electric and zero emission vehicles
Strategy Transportation-3. Provide
transit options that are accessible,
reliable, and
convenient
Getting To, From, and Around the City (On-road Transportation Sector) City of Rancho Cordova
Communitywide Greenhouse Gas Emissions Reduction Measures Quantification Sheet Notes: NA = not applicable (non-quantified measure; supportive of quantified measures). * Negative numbers indicate target has been achieved with a surplus of emissions reductions; positive values indicate an emissions reduction gap still exists.

Strategy Transportation-2. Make
walking and biking safe and attractive
for people of all ages
and abilities
Strategy Transportation-1. Support
development of walkable,
interconnected neighborhoods,
villages, and districts
7% 3%
Strategy Transportation-4. Reduce
drive alone vehicle trips
ITEM 10.1. ATTACHMENT 5

Strategy Code and Title Measure Code Measure Title
GHG
Reduction
Potential in
2030
(MTCO2e)
GHG
Reduction
Potential in
2045
(MTCO2e)
Percent of
Total
Reductions in
2030
Percent of
Total
Reductions in
2045
Quantification Approach
Transportation-1.1
Enforce the City’s Transportation Impact Guidelines, which require developers to include features in their projects that decrease the amount of driving alone and encourage people to make trips by walking, biking, or using public transit 6,669 17,134 8% 6%
Assumes a 10% reduction in new passenger
VMT and 15% reduction in commercial VMT
by 2030, and a 15% reduction in both
passenger and commercial VMT by 2045. All
reductions from new VMT that would be
achieved from other measures are assumed
to be captured under this measure. "New
VMT" refers to forecasted VMT growth
between 2019 and the target years.

Transportation-1.2 Reduce or eliminate requirements to provide a minimum number of off-street parking spaces in new development projects NA NA NA NA Non-quantified measure.

Transportation-1.3 Improve street connectivity, for example by providing walkways at the ends of existing cul-de-sacs, or requiring walkable street systems in new developments NA NA NA NA Non-quantified measure.

Transportation-1.4 Limit the number of drive-through businesses NA NA NA NA Non-quantified measure.

Transportation-2.1 Update Bike and Pedestrian Master Plans to increase the number of low-stress bikeways and walkways that connect homes to destinations 11,536 12,755 14% 4% Assumes a 6% reduction in existing (2019) passenger VMT by 2030 and 7.5% by 2045.

Transportation-2.2 Install roundabouts to control traffic at intersections, instead of stop signs or traffic signals NA NA NA NA Non-quantified measure.

Transportation-2.3 Provide temporary or permanent car-free zones or “slow streets” in specified areas, for example, individual blocks or residential streets NA NA NA NA Non-quantified measure.

Transportation-2.4 Install measures to reduce vehicle speeds and calm traffic on city streets NA NA NA NA Non-quantified measure.

Transportation-3.1 Increase the frequency of SacRT bus, CordoVan service, and/or light rail service, or extend service to cover new areas or times of day
Transportation-3.2
Implement Transit-Supportive Roadway Treatments (for example, transit signal priority, bus-only signal phases, queue jumps, curb extensions to speed passenger loading, and dedicated bus lanes)
Transportation-3.3 Provide discounted or fare-free transit service (could be universal or targeted to specific areas and/or populations, for example, youth under 18)
Transportation-3.4 Expand the SmaRT Ride area and convert the shuttles to electric shuttles Transportation-4.1
Implement a Commuter Trip Reduction Program (CTR) in which companies provide employees with services, infrastructure, and incentives for not driving alone to work and instead ridesharing, taking transit, biking, walking, or teleworking 3,845 6,803 5% 2% Assumes a 2% reduction in existing (2019) passenger VMT by 2030 and 4% by 2045.

Transportation-4.2 Implement an Electric Vehicle Carshare Program in which vehicles are available for users on-demand for short-term rentals NA NA NA NA Reductions captured in EV measures (Transportation-5.1 - 5.3).

Transportation-4.3 Implement a bikeshare/scooter share program in which conventional or electric powered bikes or scooters are available to users on-demand for short-term rentals NA NA NA NA Non-quantified measure (negligible reductions).

Transportation-4.4
Provide Community-Based Travel Planning (CBTP) to households in the city in which trained travel advisors visit households to provide them with customized information, incentives, and support to encourage use of transportation options other than driving alone

NA NA NA NA
Reductions from this measure are reflected in
Transportation-4.1
Transportation-5.1 Install EV chargers in new residential, commercial, and industrial projects Transportation-5.2 Install publicly accessible EV chargers on existing private property Transportation-5.3 Install EV chargers on public property Transportation-5.4 Electrify loading docks and/or require idling-reduction systems NA NA NA NA Non-quantified measure.

Transportation-5.5 Limit new gasoline/diesel fueling stations NA NA NA NA Non-quantified measure.

Assumes a 3% reduction in existing (2019)
passenger VMT by 2030 and 6% by 2045.

Grouped all measures together based on
CAPCOA transit-related measures (maximum
transit-related emissions reductions from
increased frequency, expanded coverage,
reduced fare, rapid transit -- 15% reduction).

Quantified using EMFAC projections and
statewide EV targets under the 2020 Mobile
Source Strategy and AB 2172.
34% 56% Strategy Transportation-5.

Transition to electric and
zero emission vehicles
26,997 171,334
7% 3%
Strategy Transportation-4.

Reduce drive alone
vehicle trips
5,768 10,204
Getting To, From, and Around the City (On-road Transportation Sector) Strategy Transportation-1.

Support development of
walkable, interconnected
neighborhoods,
villages, and districts
Strategy Transportation-2.

Make walking and biking
safe and attractive for
people of all ages
and abilities
Strategy Transportation-3.

Provide transit options
that are accessible,
reliable, and
convenient
ITEM 10.1. ATTACHMENT 5

Transportation-1.1
Enforce the City’s Transportation Impact Guidelines, which require developers to include features in their projects that decrease the amount of driving alone and encourage people to make trips by walking, biking, or using public transit 2019 2030 2045
10% reduction in new project-generated VMT from implementation of the City’s VMT Thresholds of Significance for Development Projects
Annual passenger vehicle miles traveled (VMT) 705,862,131 822,688,562 1,004,017,191 New passenger VMT 116,826,431 298,155,061
Percent VMT reduction from SB 743 10% 15%
Reduced passenger VMT from SB 743 11,682,643 44,723,259 Passenger vehicle emissions factor (MTCO2e/mile) 0.000272 0.000241 GHG reductions from new passenger vehicles (MTCO2e) 3,182 10,775 Annual commercial vehicle miles traveled (VMT) 213,356,667 248,669,088 303,478,188 New commercial VMT 35,312,421 90,121,520
Percent VMT reduction from SB 743 15% 15%
Reduced commercial VMT from SB 743 5,296,863 13,518,228 Commercial vehicle emissions factor (MTCO2e/mile) 0.000658 0.000470 GHG reductions from new commercial vehicles (MTCO2e) 3,487 6,359 GHG Reductions from Transportation-1.1 (MTCO2e) 6,669 17,134 Sources:

City of Rancho Cordova Transportation Impact Guidelines ITEM 10.1. ATTACHMENT 5

Transportation-2.1
Update Bike and Pedestrian Master Plans to increase the number of lowstress bikeways and walkways that connect homes to destinations 2019 2030 2045
Increased active transportation
Annual existing passenger vehicle miles traveled (VMT) 705,862,131 705,862,131 705,862,131 Percent reduction in existing citywide passenger VMT from comprehensive active transportation improvements [1] 6.0% 7.5%
Passenger VMT reduction 42,351,728 52,939,660
Passenger vehicle emissions factor (MTCO2e/mile) 0.000272 0.000241 GHG reductions from existing passenger vehicles (MTCO2e) 11,536 12,755 Sources:

Bicycle Master Plan (2016)
Develop continuous, convenient, and family friendly bikeway network.

Ensure new development extends the bicle network to all neighborhoods and attractors.

Ensure adequeate support facilities throughout Rancho Cordova's bicycle network.

Increase awareness of bicyclist safety and responsibility through education and enforcement of bicyclists and drivers.

Eliminate all traffic fatalities and reduce the number of bicycle related injuries by 50 percent by 2027.

Pursue innovative funding sources and partnership opportunities to enhance bicycle facilities, and provide education and encouragement opportunities.

Increase the percentage of all trips made by bicyclists from 1.1 percent to

2.2 percent in Rancho Cordova by 2021.

Establish Rancho Cordova as a destination for recreational bicycling through creation of a signature trail network and encouragement of bicycling and bicycling events.

Path Type Existing Proposed Total
Class I Paths 13.9 77 90.9
Class II Bike Lanes 14.7 12.5 27.2
Class III Bike Routes 2.4 3.2 5.6
Class III Bike Boulevards 0 14.5 14.5
Class IV Protected Bikeways 0 3.6 3.6
Total 31 110.8 141.8
https://www.cityofranchocordova.org/home/showpublisheddocument/114 16/635996042085130000
[1] CAPCOA. 2021. GHG Handbook. Available:
https://www.airquality.org/ClimateChange/Documents/Final%20Handbook_AB434.pdf.

T-18 Pedestrian Network Improvement, T-19 Bike Facility/Boulevard, and T-20 Expand Bikeway Network (maximum neighborhood design-related emissions reduction = 7.5% reduction) Table 4-1: Proposed Bikeway Network Mileage by Class
ITEM 10.1. ATTACHMENT 5

Transportation-3.1, Transportation-3.2, Transportation-3.3, Transportation-3.4 Increase the frequency of SacRT bus, CordoVan service, and/or light rail service, or extend service to cover new areas or times of day. Implement Transit-Supportive Roadway Treatments (e.g., transit signal priority, bus-only signal phases, queue jumps, curb extensions to speed passenger loading, and dedicated bus lane). Provide discounted or fare-free bus service (could be citywide or targeted to specific areas and/or populations, e.g., youth under 18). Expand the SmaRT Ride area and convert the shuttles to electric shuttles
2019 2030 2045
Comprehensive transit system improvements
Annual existing passenger vehicle miles traveled (VMT) 705,862,131 705,862,131 705,862,131 Percent reduction in existing citywide passenger VMT from comprehensive transit improvements [1] [2] [3] 3.0% 6.0% Passenger VMT reduction 21,175,864 42,351,728
Passenger vehicle emissions factor (MTCO2e/mile) 0.000272 0.000241 GHG reductions from existing passenger vehicles (MTCO2e) 5,768 10,204 Sources:
[1] Mozingo. 2021. Zero-Carbon Buildings in California: A Feasibility Study. The Center for Resource Efficient Communities and the Center for the Built Environment, UC Berkeley. (5.8% to 14.8% reduction)
[2] CAPCOA. 2021. GHG Handbook. Available: https://www.airquality.org/ClimateChange/Documents/Final%20Handbook_AB434.pdf.

T-25 Extend Coverage/Hours, T-26 Increase Frequency, T-27 Roadway Treatments, T-28 Rapid Transit, and T-29: Reduce Transit Fares (maximum transit-related emissions reduction = 15% reduction)
[3] Handy, S. et al. (2013). Impacts of Transit Service Strategies on Passenger Vehicle Use and Greenhouse Gas Emissions - Policy Brief and Technical Background Document.

California Air Resources Board. Retrieved from: https://arb.ca.gov/cc/sb375/policies/policies.htm. (0.5% to 10.5% reduction) ITEM 10.1. ATTACHMENT 5

Transportation-4.1
Implement a Commuter Trip Reduction Program (CTR) in which companies provide employees with services, infrastructure, and incentives for not driving alone to work and instead ridesharing, taking transit, biking, walking, or teleworking
2019 2030 2045
Passenger VMT reductions from CTR Program
Annual existing passenger vehicle miles traveled (VMT) 705,862,131 705,862,131 705,862,131 Percent reduction in existing citywide passenger VMT from CTR Program (voluntary and mandatory programs estimated 4% and 26%) [1] 2.0% 4.0%
Passenger VMT reduction 14,117,243 28,234,485
Passenger vehicle emissions factor (MTCO2e/mile) 0.000272 0.000241 GHG reductions from existing passenger vehicles (MTCO2e) 3,845 6,803 Sources:
[1] CAPCOA. 2021. GHG Handbook. Available: https://www.airquality.org/ClimateChange/Documents/Final%20Handbook_AB434.pdf.

TR-5 Implement Voluntary CTR Program and TR-6 Implement Mandatory CTR Program. (Note: Scale of Application for these measure is Project/Site, with a reduction of 4-26%. Maximum reduction for Plan/Community is 2.3%.) ITEM 10.1. ATTACHMENT 5

Transportation-5.1, Transportation-5.2, Transportation-5.3 Install EV chargers in new residential, commercial, and industrial projects; Install publicly accessible EV chargers on existing private property; Install EV chargers on public property
2019 2030 2045
Statewide Light-Duty EV Forecasts and Targets
Statewide Light Duty Population [1] 26,905,738 27,823,204 30,102,489 Statewide Light Duty EV population [1] 301,382 1,413,449 2,333,152 Statewide Light Duty EV Population Target under EO N-79-20 (5 million baseline scenario, 8 million high scenario) [2] 5,000,000 25,587,116 Target Percent EVs in Passenger Vehicles Statewide 18% 85% Target Percent EVs in Passenger Vehicles for Rancho Cordova 18% 85% EMFAC2021 Forecasts
Light Duty eVMT in Sacramento County [1] 757,645,077 1,174,264,221 Light Duty VMT in Sacramento County [1] 13,097,501,302 14,315,240,607 Percent eVMT in Sacramento County 5.8% 8.2%
Forecasted eVMT in Rancho Cordova
Rancho Cordova Passenger VMT after reduction from other measures 733,361,084 835,768,059 Forecasted eVMT in Rancho Cordova 42,422,398 68,557,180 Target eVMT in Rancho Cordova 131,789,474 710,402,850
Additional eVMT needed to meet State Targets 89,367,076 641,845,670 Additional GHG emissions from EV charger use
Additional eVMT needed to meet State Targets 89,367,076 641,845,670 Average Efficiency of EV LDV (kWh/100-mi) [3] 34 34
Charged amount (kWh) 3,005,236,404 21,583,988,989
Electricity emissions factor (MTCO2e/MWh) 0 0
Additional GHG emissions from EVs (MTCO2e) - -
Emissions from Equivalent Gasoline/Diesel Vehicles
Additional eVMT needed to meet State Targets 89,367,076 641,845,670 Avg emissions factor for non-electric light-duty vehicles (MTCO2e/mi) 0.000302089 0.000266939 Equivalent GHG emissions avoided from increased EV chargers (MTCO2e) 26,997 171,334 Sources:

Notes
16 public charging stations (https://chargehub.com/en/countries/united-states/california/rancho-cordova.html) 70 total stations (https://www.plugshare.com/directory/us/california/rancho-cordova) 2019 2030 2045
Rancho Cordova Passenger VMT 705,862,131 822,688,562 1,004,017,191 Sac County Passenger VMT (EMFAC) 11,549,499,458 13,097,501,302 14,315,240,607 Percent Rancho Cordova 6.11% 6.28% 7.01%
Sac County Increase in EV Population Needed 202,817 1,073,091 Rancho Cordova EV Population Needed 12,739 75,263
Rancho Cordova Existing EVs 500 500
Statewide Chargers Needed to Support 5mil ZEV by 2030 755,157 Statewide Chargers Needed to Support 8mil ZEV by 2030 1,228,880 Percent Difference 163%
Sacramento County Chargers Needed to Support 8mil ZEV by 2030 39,633 Sacramento County Chargers Needed to Support 5mil ZEV by 2030 24,355 Rancho Cordova Chargers Needed to Support 5mil ZEV by 2030 1,530 [2] Assembly Bill 2127 Electric Vehicle Charging InfrastructureAssessment (Staff Report). January 2021. [1] EMFAC 2021. (Note: EMFAC 2021 does not account for statewide EV targets under EO N-79-20.) [3] https://www.driveclean.ca.gov/pev/Charging.php
ITEM 10.1. ATTACHMENT 5

Strategy Code and Title Measure
Code Measure Title
GHG Reduction
Potential in 2030
(MTCO2e)
GHG
Reduction
Potential in
2045
(MTCO2e)
Percent of Total
Reductions in
2030
Percent of
Total
Reductions in
2045
Quantification Approach
Strategy Energy-1a. Increase energy efficiency
and electrification in existing residential
buildings
Energy-1.1
Retrofit existing residential buildings to improve energy efficiency and reduce natural gas consumption for end uses like space and water heating, clothes drying, cooking
9,667 29,002 12% 9% Assumes a 20% reduction in existing residential natural gas by 2030 and 60% reduction by 2045.

Strategy Energy-1b. Increase energy efficiency
and electrification in existing nonresidential
buildings
Energy-1.2
Retrofit existing nonresidential buildings to improve energy efficiency and reduce natural gas consumption for end uses like space and water heating, clothes drying, cooking.
2,077 9,969 3% 3% Assumes a 13% reduction in existing nonresidential natural gas by 2030 amd 48% reduction by 2045.

Strategy Energy-2a. Increase energy efficiency
and electrification in new residential buildings Energy-2.1 Require new residential development to be all-electric, zero net energy (ZNE) buildings (where the amount of energy used in a year equals the amount of energy generated on the site)
1,411 5,097 2% 2% Assumes a 100% reduction in new residential natural gas starting in 2026.

Energy-2b Increase energy efficiency and
electrification in new nonresidential buildings Energy-2.2 Require new nonresidential development to achieve energy efficiency above minimum State building code requirements (CAL Green Tier 2) 428 1,545 0% 1% CAL Green Tier 2: 30% reduction in new nonresidential energy use starting in 2026.

Using Energy in Homes and Businesses (Building Energy Sector) ITEM 10.1. ATTACHMENT 5

Energy-1.1
Retrofit existing residential buildings to improve energy efficiency and reduce natural gas consumption for end uses like space and water heating, clothes drying, cooking 2019 2030 2045
Electrification in existing residential buildings
Existing residential buildings natural gas usage (therms) 9,082,624 9,082,624 9,082,624 Target electrification rate for existing residential buildings (natural gas) [1] 20% 60% Reduced natural gas usage (therms) 1,816,525 5,449,574
Natural gas emissions factor (MTCO2e/therm) 0.005322 0.005322 GHG reductions from existing residential buildings natural gas savings (MTCO2e) 9,667 29,002 Additional electricity use and emissions
Assumed average efficiency of natural gas heating [2] [3] 78% 78% Assumed average efficiency of electric heating [4] 100% 100% kWh per therm conversion 29.3 29.3
Total therms offset from natural gas heating use (therms) 1,816,525 9,082,624 Total electricity needed to offset natural gas heating (MWh) 41,515 207,574 Electricity emissions factor (MTCO2e/MWh) 0 0
Additional GHG emissions from electricity use (MTCO2e) 0 0 GHG Reductions from Energy-1.1 (MTCO2e) 9,667 29,002
Sources:

Total Housing Units 20,000
Percent retrofitted by 2030 4000
Percent retrofitted by 2045 12000
[2] https://www.energy.gov/sites/prod/files/2014/05/f15/fupwg_may2014_new_gas_technologies.pdf [4] U.S. DOE. 2021. Electric Resistance Heating. Available: https://www.energy.gov/energysaver/home-heating-systems/electric-resistanceheating#:~:text=Electric%20resistance%20heating%20is%20100,the%20fuel's%20energy%20into%20electricity. [3] https://www.aceee.org/sites/default/files/publications/researchreports/a1602.pdf [1] Mozingo. 2021. Zero-Carbon Buildings in California: A Feasibility Study. Available:
https://crec.berkeley.edu/uploads/16RD004_CREC_ZCB_Final_Report_w__Appendices_(1).pdf ITEM 10.1. ATTACHMENT 5

Energy-1.2
Retrofit existing nonresidential buildings to improve energy efficiency and reduce tural gas consumption for end uses like space and water heating, clothes drying, cooking. 2019 2030 2045
Electrification in existing nonresidential buildings
Existing nonresidential buildings natural gas usage (therms) 3,902,601 3,902,601 3,902,601 Target electrification rate for existing nonresidential buildings (natural gas) [1] 10% 48% Reduced natural gas usage (therms) 390,260 1,873,248
Natural gas emissions factor (MTCO2e/therm) 0.005322 0.005322 GHG reductions from existing nonresidential buildings natural gas savings (MTCO2e) 2,077 9,969 Additional electricity use and emissions
Assumed average efficiency of natural gas heating [2] [3] 78% 78% Assumed average efficiency of electric heating [4] 100% 100% kWh per therm conversion 29.3 29.3
Total therms offset from natural gas heating use (therms) 390,260 3,902,601 Total electricity needed to offset natural gas heating (MWh) 8,919 89,190 Electricity emissions factor (MTCO2e/MWh) 0 0
Additional GHG emissions from electricity use (MTCO2e) 0 0 GHG Reductions from Energy-1.2 (MTCO2e) 2,077 9,969
Sources:
[2] https://www.energy.gov/sites/prod/files/2014/05/f15/fupwg_may2014_new_gas_technologies.pdf [3] https://www.aceee.org/sites/default/files/publications/researchreports/a1602.pdf [4] U.S. DOE. 2021. Electric Resistance Heating. Available: https://www.energy.gov/energysaver/home-heating-systems/electric-resistanceheating#:~:text=Electric%20resistance%20heating%20is%20100,the%20fuel's%20energy%20into%20electricity. [1] Mozingo. 2021. Zero-Carbon Buildings in California: A Feasibility Study. Available:
https://crec.berkeley.edu/uploads/16RD004_CREC_ZCB_Final_Report_w__Appendices_(1).pdf ITEM 10.1. ATTACHMENT 5

Energy-2.1
Require new residential development to be all-electric, zero net energy (ZNE) buildings (where the amount of energy used in a year equals the amount of energy generated on the site)
2019 2026 2030 2045
All-electric new residential development
Annual residential natural gas usage with legislative reductions (therms) 9,082,624 9,546,705 9,811,893 10,504,366 New natural gas usage (therms) 464,081 729,269 1,421,742 Reduced residential natural gas usage from all-electric new residential development starting in 2026 (therms) 265,189 957,662
Natural gas emissions factor (MTCO2e/therm) 0.005322 0.005322 GHG reductions from new residential buildings natural gas savings (MTCO2e) 1,411 5,097 Additional electricity use and emissions
Assumed average efficiency of natural gas heating [1] [2] 78% 78% Assumed average efficiency of electric heating [3] 100% 100% kWh per therm conversion 29.3 29.3
Total therms offset from natural gas heating use (therms) 265,189 10,504,366 Total electricity needed to offset natural gas heating (MWh) 6,061 240,067 Electricity emissions factor (MTCO2e/MWh) 0 0
Additional GHG emissions from electricity use (MTCO2e) 0 0 GHG Reductions from Energy-2.1 (MTCO2e) 1,411 5,097
Sources:
[1] https://www.energy.gov/sites/prod/files/2014/05/f15/fupwg_may2014_new_gas_technologies.pdf [2] https://www.aceee.org/sites/default/files/publications/researchreports/a1602.pdf [3] U.S. DOE. 2021. Electric Resistance Heating. Available: https://www.energy.gov/energysaver/home-heating-systems/electric-resistanceheating#:~:text=Electric%20resistance%20heating%20is%20100,the%20fuel's%20energy%20into%20electricity.

ITEM 10.1. ATTACHMENT 5

Energy-2.2
Require new nonresidential development to achieve energy efficiency above minimum State building code requirements (CAL Green Tier 2)
2019 2026 2030 2045
Efficient new nonresidential development - CAL Green Tier 2 Annual nonresidential natural gas usage with legislative reductions (therms) 9,082,624 9,546,705 9,811,893 10,504,366 New natural gas usage (therms) 464,081 729,269 1,421,742 Annual nonresidential electricity usage with legislative reductions (kWh) 416,664,459 439,785,444 452,997,435 486,192,548 New electricity usage (kWh) 23,120,985 36,332,976 69,528,089 Annual nonresidential diesel usage with legislative reductions (gal) 92,209 97,326 100,250 107,596 New diesel usage (gal) 5,117 8,041 15,387
Reduction in new energy use from CAL Green Tier 2 compared to Title 24 30% 30% Reduced natural gas usage from new nonresidential development starting in 2026 (therms) 79,557 287,299 Reduced electricity usage from new nonresidential development starting in 2026 (therms) 1,981,799 6,961,066 Reduced diesel usage from new nonresidential development starting in 2026 (therms) 439 1,541 Natural gas emissions factor (MTCO2e/therm) 0.005322 0.005322 Electricity emissions factor (MTCO2e/MWh) 0 0
Diesel emissions factor (MTCO2e/gal) 0.010229 0.010229
GHG reductions from new nonresidential buildings energy savings (MTCO2e) 428 1,545 Additional electricity use and emissions
Assumed average efficiency of natural gas heating [1] [2] 78% 78% Assumed average efficiency of electric heating [3] 100% 100% kWh per therm conversion 29.3 29.3
Total therms offset from natural gas heating use (therms) 79,557 10,504,366 Total electricity needed to offset natural gas heating (MWh) 1,818 240,067 Electricity emissions factor (MTCO2e/MWh) 0 0
Additional GHG emissions from electricity use (MTCO2e) 0 0 GHG Reductions from Additional GHG emissions from electricity use (MTCO2e) (MTCO2e) 428 1,545 Sources:
[1] https://www.energy.gov/sites/prod/files/2014/05/f15/fupwg_may2014_new_gas_technologies.pdf [2] https://www.aceee.org/sites/default/files/publications/researchreports/a1602.pdf [3] U.S. DOE. 2021. Electric Resistance Heating. Available: https://www.energy.gov/energysaver/home-heating-systems/electric-resistanceITEM 10.1. ATTACHMENT 5

Strategy Code and Title Measure Code Measure Title
GHG Reduction
Potential in 2030
(MTCO2e)
GHG
Reduction
Potential in
2045
(MTCO2e)
Percent of Total
Reductions in
2030
Percent of
Total
Reductions in
2045
Quantification Approach
Offroad-1.1
Replace existing gasoline and diesel-powered
landscaping equipment with electric or
zero emission alternatives
83 138 0% 0%
Assumes a 30% electrification rate of existing fossil
fuel landscaping equipment by 2030, and 100% by
2045. Assumes a 30% renewable diesel/alternative
fuels conversion rate by 2030.

Offroad-1.2 Convert new landscaping equipment to electric or zero-emission alternatives 46 123 0% 0%
Assumes 100% of new landscaping equipment are
zero-emission by 2024. Consistent with CARB's
SORE regulations.

Offroad-2.1 Increase electrification and use of alternative fuels in construction projects 1,681 9,248 2% 3%
Assumes a 10% electrification rate of existing fossil
fuel construction equipment by 2030, and 50% by
2045. Assumes a 10% renewable diesel/alternative
fuels conversion rate by 2030, and 40% by 2045.

Assumes a 10% reduction in diesel generator use
by 2030 and a 60% reduction by 2045.

Offroad-2.2 Reduce construction vehicle idling NA NA NA NA Non-quantified measure.

Strategy Offroad-2. Transition to
electric and zero emissions
technologies for construction
equipment
Using Equipment for Landscaping and Construction (Off-Road Vehicle and Equipment Sector) Strategy Offroad-1. Transition to
electric and zero emissions
technologies for landscaping
equipment
ITEM 10.1. ATTACHMENT 5

Offroad-1.1
Replace existing gasoline and diesel-powered landscaping equipment with electric or zero emission alternatives 2019 2030 2045
Electric landscaping equipment
Existing landscaping equipment emissions (MTCO2e) 138 138 138 Target electrification rate for existing landscaping equipment [1] 30% 100% Reduced landscaping emissions (MTCO2e) 41 138
GHG reductions from electric landscaping equipment (MTCO2e) 41 138 Renewable diesel or other alternative fuels landscaping equipment Existing landscaping equipment emissions (MTCO2e) 138 138 138 Target renewable diesel/alternative fuels rate for existing landscaping equipment [1] 30% 0% Reduced landscaping emissions (MTCO2e) 41 0
GHG reductions from renewable diesel landscaping equipment (MTCO2e) 41 - GHG Reductions from Offroad-1.1 (MTCO2e) 83 138
Sources:
[1] California Air Resources Board. 2021. 2021 SORE Rulemaking Staff Report. Available:
https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2021/sore21/isor.pdf ITEM 10.1. ATTACHMENT 5

Offroad-1.2
Convert new landscaping equipment to electric or zero-emission altertives 2019 2023 2030 2045 Zero-emission new landscaping equipment starting in 2024 Landscaping equipment emissions (MTCO2e) 138 164 211 287 New landscaping equipment emissions (MTCO2e) 26 73 150
New landscaping equipment emissions starting in 2024 (MTCO2e) 46 123 Percent of new landscaping equipment that is zero-emission [1] 100% 100% Reduced landscaping emissions (MTCO2e) 46 123
GHG Reductions from Offroad-1.2 (MTCO2e) 46 123
Sources:
[1] California Air Resources Board. 2021. CARB approves updated regulations requiring most new small off-road engines be zero emission by 2024. Available:
https://ww2.arb.ca.gov/news/carb-approves-updated-regulations-requiring-most-new-small-road-engines-be-zero-emission-2024 ITEM 10.1. ATTACHMENT 5

Offroad-2.1
Increase electrification and use of altertive fuels in construction projects 2019 2030 2045
Electric construction equipment
Construction emissions (MTCO2e) 5,350 7,500 9,675
Target electrification rate for construction equipment 10% 50% Reduced construction equipment emissions (MTCO2e) 750 4,837 GHG reductions from electric construction equipment (MTCO2e) 750 4,837 Alternatively fueled construction equipment
Construction emissions (MTCO2e) 5,350 7,500 9,675
Target renewable diesel or other alternative fuels rate for construction equipment 10% 40% Reduced construction equipment emissions (MTCO2e) 750 3,870 GHG reductions from alternatively fueled construction equipment (MTCO2e) 750 3,870 Renewable diesel and other clean generator alternatives Dwelling Units 28,926 38,574 47,780
Employees 61,991 73,604 84,213
SQFT per employee (for average office space) 200 200 200 Total Commercial Office SQFT 12,398,275 14,720,777 16,842,698 CalEEMod Results for Construction-related generators used to construct new single family homes and commercial office space
CalEEMod Inputs 2019-2030 2030-2045
Single Family Homes (Dwelling Unit) 9,648 9,206
Office Park (sqft) 2,322,502 2,121,921
Adjusted down to account for 33 acre limitation in CalEEMod 2020.4.0 Single Family Homes (Dwelling Unit) 102 97
Office Park (sqft) 24,447 22,336
Adjustment Factor 95 95
Total Reported Construction Generator Emissions (MTCO2e) 209 142 Annual Reported Construction Generators Emissions (MTCO2e) 19 9 Readjusted Annual Construction Generator Emissions (MTCO2e) 1,808 901 Target reduction in diesel generator use from renewable diesel or other clean alternatives 10% 60% GHG reductions from renewable diesel or other clean generators (MTCO2e) 181 541 GHG Reductions from Offroad-2.1 (MTCO2e) 1,681 9,248
Sources:
[2] CARB OFFROAD 2021 (Sacramento County 2019)
[1] CAPCOA. 2021. GHG Handbook. Available: https://www.airquality.org/ClimateChange/Documents/Final%20Handbook_AB434.pdf.

C-1-A Use Electric or Hybrid Powered Equipment and C-1-B Use Cleaner-Fuel Equipment ITEM 10.1. ATTACHMENT 5

Strategy Code and Title Measure Code Measure Title
GHG
Reduction
Potential in
2030
(MTCO2e)
GHG
Reduction
Potential in
2045
(MTCO2e)
Percent of
Total
Reductions in
2030
Percent of
Total
Reductions in
2045
Quantification Approach
Solid Waste-1.1 Increase recovery of edible food waste
Solid Waste-1.2 Eliminate disposal of organic waste in
landfills (food waste, yard waste)
Using Water and Disposing of Waste at Homes and Businesses (Water and Solid Waste Sectors) 11% 11%
Assumes a 30% reduction in landfill disposed
waste compared to 2019 by 2030, and a 90%
reduction by 2045.

Strategy Solid Waste-1. Avoid
disposal of organic waste in
landfills
8,845 32,590
ITEM 10.1. ATTACHMENT 5

Solid Waste-1.1, Solid Waste-1.2
Increase recovery of edible food waste; Elimite disposal of organic waste in landfills (food waste, yard waste) 2019 2030 2045
Achieve Zero Waste (i.e., 90% reduction below 2019 levels) by 2045 Solid waste emissions (MTCO2e) 22,397 29,483 36,211
Percent reduction in landfill disposed waste compared to 2019 30% 90% Reduced solid waste emissions (MTCO2e) 8,845 32,590
GHG Reductions from Solid Waste-1.1, Solid Waste-1.2 (MTCO2e) 8,845 32,590 Sources:

Senate Bill 1383
2030 2045
Tons of waste 78,276 96,139
Reduced tons of waste 23,483 86,525
ITEM 10.1. ATTACHMENT 5

Strategy Code and
Title
Measure
Code Measure Title
GHG Reduction
Potential in
2030 (MTCO2e)
GHG Reduction
Potential in
2045 (MTCO2e)
Percent of Total
Reductions in
2030
Percent of Total
Reductions in
2045
Quantification Approach
Water-1.1 Reduce indoor water use in existing and new buildings 0 0 NA NA Annual reduction of 15,000 acre-feet (AF) of
indoor water usage by 2030 and 28,000 AF by
2045.

Water-1.2 Reduce outdoor water use for landscaping and irrigation in existing and new developments 0 0 NA NA Annual reduction of 15,000 AF of outdoor water usage by 2030 and 29,000 AF by 2045.

Using Water and Disposing of Waste at Homes and Businesses (Water and Solid Waste Sectors) Strategy Water-1.

Conserve water
ITEM 10.1. ATTACHMENT 5

Water-1.1
Reduce indoor water use in existing and new buildings 2019 2030 2045 Water use reduction in existing buildings
Total existing water use (AF) 65,645 65,645 65,645
Total existing water-related electricity use (MWh) 38,926 38,926 38,926 Assumed percentage of indoor water use [1] [2] 60% 60% 60% Indoor water use in existing buildings (AF) 39,387 39,387 39,387 Indoor water-related electricity use in existing buildings (MWh) 23,355 23,355 23,355 Percent reduction in indoor water use in existing buildings [1] [2] [3] 25% 40% Reduction in indoor water use in existing buildings (AF) 9,847 15,755 Reduction in indoor water-related electricity use in existing buildings (MWh) 5,839 9,342 Electricity emissions factor (MTCO2e/MWh) 0 0
Reduced indoor water emissions from existing buildings (MTCO2e) 0 0 Water use reduction in new buildings
Total water use (AF) 65,645 86,412 106,132
Total water-related electricity use (MWh) 38,926 51,240 62,934 Total water use in new buildings (AF) 20,767 40,487
Total water-related electricity use in new buildings (MWh) 12,315 24,008 Assumed percentage of indoor water use [1] [2] 60% 60% 60% Indoor water use in new buildings (AF) 12,460 24,292
Indoor water-related electricity use in new buildings (MWh) 7,389 14,405 Percent reduction in indoor water use in new buildings [1] [2] [3] [4] 40% 50% Reduction in indoor water use in new buildings (AF) 4,984 12,146 Reduction in indoor water-related electricity use in new buildings (MWh) 2,956 7,202 Electricity emissions factor (MTCO2e/MWh) 0 0
Reduced indoor water emissions from new buildings (MTCO2e) 0 0 GHG Reductions from Water-1.1 (MTCO2e) 0 0
Sources:
[1] Pacific Institute and Natural Resources Defense Council. 2014. Urban Water Conservation and Efficiency Potential in California. Available:
https://pacinst.org/wp-content/uploads/2014/06/ca-water-urban.pdf [3] CAPCOA. 2010. Quantifying Greenhouse Gas Mitigation Measures. WUW-1. Available: http://www.capcoa.org/wpcontent/uploads/downloads/2010/09/CAPCOA-Quantification-Report-9-14-Final.pdf WUW-1: 20% for residential and 31% for nonresidential low-flow fixtures. Assuming increase for ultra-low-flow, especially in new development [2] U.S. Environmental Protection Agency. 2022. WaterSense - Statistics and Facts. Available: https://www.epa.gov/watersense/statistics-and-facts [4] U.S. Environmental Protection Agency. 2017. Water-Smart Landscapes -Start with WaterSense. Available:
https://www.epa.gov/sites/default/files/2017-01/documents/ws-outdoor-water-efficient-landscaping.pdf ITEM 10.1. ATTACHMENT 5

Water-1.2
Reduce outdoor water use for landscaping and irrigation in existing and new developments 2019 2030 2045
Outdoor water use reduction in existing buildings
Total existing water use (AF) 65,645 65,645 65,645
Total existing water-related electricity use (MWh) 38,926 38,926 38,926 Assumed percentage of outdoor water use [1] [2] 40% 40% 40% Outdoor water use in existing buildings (AF) 26,258 26,258 26,258 Outdoor water-related electricity use in existing buildings (MWh) 15,570 15,570 15,570 Percent reduction in outdoor water use in existing buildings [1] [2] [3] [4] 40% 60% Reduction in outdoor water use in existing buildings (AF) 10,503 15,755 Reduction in outdoor water-related electricity use in existing buildings (MWh) 6,228 9,342 Electricity emissions factor (MTCO2e/MWh) 0 0
Reduced outdoor water emissions from existing buildings (MTCO2e) 0 0 Outdoor water use reduction in new buildings
Total water use (AF) 65,645 86,412 106,132
Total water-related electricity use (MWh) 38,926 51,240 62,934 Total water use in new buildings (AF) 20,767 40,487
Total water-related electricity use in new buildings (MWh) 12,315 24,008 Assumed percentage of outdoor water use [1] [2] 40% 40% 40% Outdoor water use in new buildings (AF) 8,307 16,195
Outdoor water-related electricity use in new buildings (MWh) 4,926 9,603 Percent reduction in outdoor water use in new buildings [1] [2] [3] [4] 50% 80% Reduction in outdoor water use in new buildings (AF) 4,153 12,956 Reduction in outdoor water-related electricity use in new buildings (MWh) 2,463 7,683 Electricity emissions factor (MTCO2e/MWh) 0 0
Reduced outdoor water emissions from new buildings (MTCO2e) 0 0 GHG Reductions from Water-1.2 (MTCO2e) 0 0
Sources:
[1] Pacific Institute and Natural Resources Defense Council. 2014. Urban Water Conservation and Efficiency Potential in California. Available:
https://pacinst.org/wp-content/uploads/2014/06/ca-water-urban.pdf [2] U.S. Environmental Protection Agency. 2022. WaterSense - Statistics and Facts. Available: https://www.epa.gov/watersense/statistics-and-facts [4] U.S. Environmental Protection Agency. 2017. Water-Smart Landscapes -Start with WaterSense. Available:
https://www.epa.gov/sites/default/files/2017-01/documents/ws-outdoor-water-efficient-landscaping.pdf [3] CAPCOA. 2010. Quantifying Greenhouse Gas Mitigation Measures. WUW-2 through WUW-6. Available: http://www.capcoa.org/wpcontent/uploads/downloads/2010/09/CAPCOA-Quantification-Report-9-14-Final.pdf ITEM 10.1. ATTACHMENT 5

Strategy Code and Title Measure Code Measure Title
GHG Reduction
Potential in 2030
(MTCO2e)
GHG
Reduction
Potential in
2045
(MTCO2e)
Percent of Total
Reductions in
2030
Percent of
Total
Reductions in
2045
Strategy Carbon Sequestration1. Remove emissions from the atmosphere
Carbon Storage-1.1 Increase the number of trees in the city, through new plantings and management of existing trees 441 1,042 1% 0%
Assumed 750 new residential trees and 750 new City-managed trees planted every year. Used existing (2019) tree inventory and carbon sequestration data from the City's 2022 Urban Forest Master Plan.

Planting and Managing Trees (Carbon Sequestration Sector) ITEM 10.1. ATTACHMENT 5

Carbon Storage-1.1
Increase the number of trees in the city, through new plantings and management of existing trees 2019 2030 2045
Planting new trees
Existing trees [1] 3,910
Annual carbon sequestration from existing trees (metric tons carbon/year) [1] 29 Conversion factor for carbon to carbon dioxide (ratio of molecular weights = 44/12) 3.67 Annual carbon sequestration per tree (MTCO2e/tree/year) 0.02673 New residential trees per year [1] 750
New City-managed trees per year [1] 750
Total new trees [1] 16,500 39,000
Increased carbon sequestration from new trees (MTCO2e) 441 1,042 GHG Reductions from Carbon Storage-1.1 (MTCO2e) 441 1,042 Sources:
[1] City of Rancho Cordova. 2022. Rancho Cordova Urban Forest Master Plan. Available:
https://www.cityofranchocordova.org/home/showpublisheddocument/18231/637880482211700000 ITEM 10.1. ATTACHMENT 5

Appendix F
Vulnerability Assessment
(Technical Memorandum)
ITEM 10.1. ATTACHMENT 5

ITEM 10.1. ATTACHMENT 5

455 Capitol Mall, Suite 300
Sacramento, CA 95814
916.444.7301
Date: October 11, 2021
To: Stefan Heisler
From: Kai Lord-Farmer, Dan Krekelberg, and Honey Walters (Ascent Environmental) Subject: City of Rancho Cordova Climate Action Plan - Vulnerability Assessment 1 INTRODUCTION
Global climate change is projected to exacerbate the impacts of certain hazards that the City of Rancho Cordova (City) is already exposed to under current conditions. These hazards include indirect impacts from wildfires and effects on air quality, extreme heat, heat wave events, long-term drought, and flooding. While many of these hazards have existed historically for the City, the frequency and intensity of these hazards will increase as a result of global climate change. This Vulnerability Assessment (VA) serves to identify and analyze impacts of climate change that will most directly affect the City. The VA includes a climate change vulnerability assessment and serves to inform development of adaptation strategies by analyzing the City’s exposure to existing hazards, sensitivity to these hazards, potential climate-related impacts from these hazards, and the City’s existing capacity to prepare and adapt for these impacts, known as adaptive capacity.

1.1 CLIMATE CHANGE MITIGATION AND ADAPTATION
The effects of climate change are already being experienced today. The combustion of fossil fuels, among other human activities, since the Industrial Revolution in the 19th century has introduced greenhouse gases (GHGs) into the atmosphere at an accelerated pace, intensifying the greenhouse effect and leading to a trend of warming of the Earth’s climate, known as global climate change or global warming. Climate change has more recently become a priority on an international, national, and local scale as recent climate data reveal more extreme weather patterns, increased average global temperatures, and the rapid melting of the Earth’s Artic and Antarctic poles and glaciers.

The Intergovernmental Panel on Climate Change (IPCC), the international body charged with compiling and interpreting the data surrounding climate change, estimates that global average temperatures will increase by 3.7 degrees Celsius (°C) (6.7 to 8.6 degrees Fahrenheit [°F]) by the end of the century unless additional efforts to reduce GHG emissions are made (IPCC 2014). A more recent IPCC report indicates that average global temperatures will likely increase by 1.5 °C (2.7 °F) between 2030 and 2052 if global GHG emissions continue their current rate (IPCC 2018). There is consensus among the scientific community that a 1.5 °C (2.7 °F) rise in global temperatures will likely cause catastrophic environmental disasters in certain locations including extreme heat, sea-level rise, and more severe and damaging precipitation events. These changes to Earth’s climate would contribute to more frequent storms and flooding, the displacement of coastal and tropical populations, food and water insecurity, catastrophic wildfire events, economic hardships, loss of biological resources, increased spread of vector-borne diseases, and degraded ambient air quality (IPCC 2018).

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In August 2021, IPCC released the Six Assessment report which assess scientific, technical, and socio-economic information concerning climate change. In this report, the IPCC states that observed increases in GHG concentrations in the atmosphere since around the year 1750 are unequivocally caused by human activities. As a result, Each of the last four decades has been successively warmer than any decade that preceded it since 1850 (IPCC 2021). The findings of highlight key new insights into the importance of global climate tipping points, thresholds in the global climate (e.g., global temperatures) that, when exceeded, can lead to large changes in the state of the climate system with one impact rapidly leading to a series of cascading events.

The Six Assessment report contain the body’s strongest warnings yet on the causes and impacts of climate change.

Importantly, the report notes that, in terms of solutions, “We need transformational change operating on processes and behaviors at all levels: individual, communities, business, institutions and governments. We must redefine our way of life and consumption (IPCC 2021).”
Efforts that focus on reducing the sources of climate change are termed climate change mitigation, GHG mitigation, or climate action. Efforts to reduce harm from the effects of a changing climate, are referred to as climate adaptation and resilience. Figure 1 illustrates the relationship between these two approaches. State law requires communities to address climate change mitigation in local planning and environmental review processes and climate adaptation in local long-range planning processes, such as general plans (CalOES 2020). Included below is a summary of the State requirements to address climate adaptation as part of the local planning process.  Senate Bill 379 – This bill requires all cities and counties to include climate adaptation and resiliency strategies in the next update of their General Plans beginning January 1, 2017. The update must include:
o A vulnerability assessment that identifies the risks that climate change poses to the local jurisdiction and the geographic areas at risk from climate change impacts; o A set of adaptation and resilience goals, policies, and objectives based on the information specified in the climate vulnerability assessment for the protection of the community; and o A set of feasible implementation measures designed to carry out the goals, policies, and objectives identified pursuant to the adaptation objectives
 Assembly Bill 747 – Requires the safety elements for cities and counties to be reviewed and updated as necessary to identify evacuation routes and their capacity, safety, and viability under a range of emergency scenarios upon the next revision of a local hazard mitigation plan on or after January 1, 2022, or beginning on or before January 1, 2022 if a local jurisdiction has not adopted a local hazard mitigation plan.  Senate Bill 99 - This bill requires cities and counties, upon the next revision of the housing element on or after January 1, 2020, to review and update the safety element to include information identifying residential developments in hazard areas that do not have at least 2 emergency evacuation routes.  Senate Bill 1035 – This bill requires cities and counties to revise the safety element upon each revision of the housing element or local hazard mitigation plan, but not less than once every 8 years, to identify new information relating to flood and fire hazards and climate adaptation and resiliency strategies applicable to the city or county that was not available during the previous revision of the safety element.

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Source: CalOES 2020, adapted by Ascent Environmental in 2021.

Figure 1 Relationship Between Climate Mitigation and Adaptation

1.2 GUIDANCE DOCUMENTS
This section provides a summary of the guidance documents and resources that were used to help develop the VA.

California Adaptation Planning Guide
The most recent version of the California Adaptation Planning Guide (APG) was released in March 2020. This guidance builds upon the first iteration of the APG released in 2012. The APG was developed by the California Office of Emergency Services (CalOES) and California Natural Resources Agency (CNRA). The APG provides guidance to local governments for adaptation and climate change resiliency planning. The APG includes a step-by-step process that communities may use to help plan for the impacts of climate change. The APG is designed to be flexible and guide communities through an adaptation planning process that is best suited for their needs (CalOES 2020).

California’s Fourth Climate Assessment
CNRA, the Governor’s Office of Planning and Research (OPR), and the California Energy Commission (CEC) prepared California’s Fourth Climate Change Assessment (Climate Assessment) in 2018. The Climate Assessment was designed to address critical information gaps that decisionmakers at the State, regional, and local levels need to close to protect and build the resilience of people, infrastructure, natural systems, working lands, and waterways from climaterelated impacts. The Climate Assessment also includes regional reports which analyze and discuss the impacts to ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Vulnerability Assessment

specific regions in the state. The regional report for the City and County is the California’s Fourth Climate Change Assessment Sacramento Valley Region Report (Regional Report). The Climate Assessment and Regional Report are referenced throughout this VA to provide information regarding regional climate change impacts.

Safeguarding California Plan
Alongside the update to the Climate Assessment, CNRA released the Safeguarding California Plan in 2018 which provides a roadmap for State government action to build climate resilience. The Safeguarding California Plan identifies actions the State government will take to protect communities, infrastructure, services, and the natural environment from climate change impacts and includes strategies for use as local examples for climate adaptation.

1.3 ADAPTATION PLANNING PROCESS
The APG provides guidance for communities throughout the state in planning for and adapting to the impacts of climate change. The APG includes a four-phase process, illustrated in Figure 2 which allows communities to assess their specific climate vulnerabilities and provides guidance on developing strategies to reduce climate change-related risks and prepare for current and future impacts of climate change.

Source: CalOES 2020, adapted by Ascent Environmental in 2021.

Figure 2 Adaptation Planning Process
 Phase 1, “Explore, Define, and Initiate,” includes scoping and defining the adaptation planning effort. Phase 1 also involves identifying key roles and stakeholders in the local government and throughout the community to contribute to the planning process. Potential climate change effects and important physical, social, and natural assets in the community are identified for further analysis.
 Phase 2, “Assess Vulnerability,” includes an analysis of potential climate change impacts and adaptive capacity to determine the vulnerability of populations, natural resources, and community assets. The vulnerability assessment is composed of four steps: exposure, sensitivity and potential impacts, adaptive capacity, and vulnerability scoring. Phase 2 also integrates stakeholder and public input to provide a comprehensive assessment of the community’s sensitivity to climate change and its ability to adapt.

PHASE 1
Explore, Define,
& Initiate
PHASE 2
Assess
Vulnerability
PHASE 3
Define
Adaptation
Framework &
Strategies
PHASE 4
Implement,
Monitor,
Evaluate,
& Adjust
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 Phase 3, “Define Adaptation Framework and Strategies,” focuses on creating an adaptation framework and developing adaptation strategies based on the results of the vulnerability assessment. Adaptation strategies identify how the community will address the potential for harm based on the community’s resources, goals, values, needs, and regional context. Community input is needed to prioritize adaptation strategies, identify cobenefits of strategies, and determine implementation steps.  Phase 4, “Implement, Monitor, Evaluate, and Adjust,” the adaptation framework is implemented, consistently monitored, evaluated, and adjusted based on continual learning, feedback, or triggers. The adaptation planning process is intended to be cyclical in nature. Adaptation goals and strategieswill be included in the City’s CAP which will contain a chapter that enumerates implementation planning policies. This section of the CAP will guide the implementation, monitoring, and evaluation of the adaptation policies.

The ultimate goal of the adaptation planning process is to improve community resilience in the face of a changing climate.

A resilient community is one that is prepared for current and future hazardous conditions and experiences less harm when a disaster happens. Resilient communities can prepare for and recover from hazards with an understanding that the climate is going to continue to change in predictable and unforeseen ways. Ongoing learning and monitoring of strategy implementation allow for adjustments to be made in response to new information and opportunities. 2 VULNERABILITY ASSESSMENT
This section provides a comprehensive assessment of the City’s vulnerabilities to climate change. It identifies and characterizes the climate-related hazards and other climate effects that are anticipated to affect the City. The vulnerability assessment follows the process outlined in Phase 2 of the APG and is composed of the following four steps:

Exposure: The purpose of this step is to understand existing hazards within the City and how changes in climate variables (e.g., average temperature, precipitation) are projected to affect these hazards. Existing hazards that can be worsened by the effects of climate change are identified and described, based on historical data from sources such as the City’s Local Hazard Mitigation Plan.

Sensitivity and Potential Impacts: This step identifies a list of population groups and community assets that are sensitive to localized climate impacts. Climate-related hazards (e.g., flooding, wildfire) are generally projected to increase in severity, with the potential for climate change to generate new impacts that communities have not experienced historically. Using historical data, research from regional and State reports on climate impacts, and input from stakeholders, this step seeks to understand how sensitive populations and assets may be affected by climate impacts. Each hazard included in the VA is analyzed and given a qualitative score based on the criteria listed below in Table 1.

Table 1 Potential Impact Scoring
Score Potential Impact
Low Impact is unlikely based on projected exposure; would result in minor consequences to public health, safety, and/or other metrics of concern.

Medium Impact is somewhat likely based on projected exposure; would result in some consequences to public health, safety, and/or other metrics of concern.

High Impact is highly likely based on projected exposure; would result in substantial consequences to public health, safety, and/or other metrics of concern.

Source: CalOES 2020.

Adaptive Capacity: The City, partner agencies, and regional organizations (e.g., Sacramento County, Sacramento Area Council of Governments)have already taken steps to build resilience and protect sensitive populations and assets from existing hazards. A full summary of partner agencies and regional organizations and their climate adaptationITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Vulnerability Assessment

related work is included in Section 2.6 “Adaptive Capacity”. Thus, the purpose of this step is to identify the City’s and partner agencies’ current capacity to address future climate impacts, referred to as adaptive capacity. The ability of the City to adapt to each of the identified climate impacts is determined through a review of existing plans, policies, and programs, and through stakeholder engagement. Adaptive capacity ratings are described in Table 2.

Table 1 Potential Impact and Adaptive Capacity Scoring
Score Adaptive Capacity
Low The population or asset lacks capability to manage climate impact; major changes would be required.

Medium The population or asset has some capacity to manage climate impact; some changes would be required.

High The population or asset has high capacity to manage climate impact; minimal to no changes are required.

Source: CalOES 2020.

Vulnerability Scoring: This step determines the City’s priority climate vulnerabilities through a scoring process.

Vulnerability scores are based on several factors including the severity of projected climate impacts, how sensitive certain populations and assets are to anticipated climate impacts, and whether sufficient adaptive capacity exists to manage future climate impacts. Table 3 presents the rubric used to determine the overall vulnerability scores based on the ratings for potential impacts and adaptive capacity.

Table 3 Vulnerability Scoring
Vulnerability Score
Potential Impacts
High 3 4 5
Medium 2 3 4
Low 1 2 3
High Medium Low
Adaptive Capacity
Source: CalOES 2020.

The vulnerability assessment helps the City understand which climate vulnerabilities are most urgent and should be prioritized during the adaptation strategy development phase as well as during strategy implementation.

Climate Change Impact Modeling and Projections
According to the work of IPCC and research conducted by the State alongside partner agencies and organizations, climate change is already affecting and will continue to affect the physical environment throughout California, including the City. To identify the local impacts of climate change in California, the CEC, and the University of California, Berkeley Geospatial Innovation Facility developed the scenario planning tool Cal-Adapt. The Cal-Adapt tool uses global climate simulation model data downscaled to a local and regional resolution to identify localized impacts from various climate metrics. Developers of the Cal-Adapt tool selected four priority global climate models to include in projections provided in the tool. This analysis uses the average of these four models to identify changes in temperature and extreme heat events.

The projected effects of climate change over the next century will vary depending on global GHG emissions trends.

The Cal-Adapt tool includes global climate simulation model data from two emissions scenarios, known as Representative Concentration Pathways (RCPs), that were used in the IPCC’s Fifth Assessment Report. The RCPs represent scenarios that estimate the level of global GHG emissions through 2099. The RCP scenarios used in the CalAdapt tool are the RCP 8.5 (High Emissions) scenario, which represents a business-as-usual future emissions scenario that would result in atmospheric CO2 concentrations exceeding 900 parts per million (ppm) by 2100, and the RCP 4.5 (Medium Emissions) scenario, which represents a lower GHG emissions future and likely the best-case scenario for ITEM 10.1. ATTACHMENT 5

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climate impacts, under which GHG emissions would peak in 2040 and then decline through the rest of the century, resulting in a CO2 concentration of about 550 ppm by 2100. The RCP trends assumed in the analysis are illustrated in Figure 3. The emissions scenarios depend on global GHG emissions trends in the future and the efficacy of global GHG reduction strategies proposed by the international community. Because the efficacy of the GHG reduction strategies and the likelihood that a certain RCP scenario will occur are uncertain, a discussion of both emissions scenarios and their subsequent impacts are included in this analysis.

Notes: CO2= carbon dioxide; ppm = parts per million; PgC = one billion metric tons of carbon; RCP = Representative Concentration Pathway.

Source: Goosse et al. 2010.

Figure 3 Representative Concentration Pathway Used in Global Climate Modeling The State’s Adaptation Planning Guide 2.0 (CalOES 2020) provides guidance on choosing appropriate RCP scenarios to be included in the analysis. For analysis of impacts through 2050, the draft Adaptation Planning Guide 2.0 suggests using a conservative approach based on the High Emissions scenario, but notes that impacts by 2050 under the Medium and High Emissions scenarios will vary based on local context.

The Cal-Adapt tool provides data on projected changes in annual average temperature and changes in the frequency and severity of extreme heat events. This analysis uses Cal-Adapt data to evaluate increases in annual average maximum temperatures, as well as shifts in the duration and frequency of extreme heat events in the future. The analysis also identifies at what point over the next approximately 80 years (2021–2099) changes in temperature and extreme heat events will begin to occur and at what magnitude. This exposure analysis uses the following time periods to analyze changes in climate variables under the Medium Emissions scenario for the near-term and midterm periods and Medium and High Emissions scenarios for the long-term period. The time periods are established as 30- year time intervals to gather accurate data on average changes in the climate, which is typically measured over 30- ITEM 10.1. ATTACHMENT 5

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year time periods or longer. This results in overlap among some time periods. Due to annual fluctuations in climate variables, climate data on shorter time periods may be less accurate and not reflect long-term averages (NOAA 2018).

The three time periods are:
 near-term (2021–2050),
 midterm (2040–2070), and
 long-term (2070–2099).

2.1 COMMUNITY OVERVIEW
The City covers approximately 34.8 square miles of land, the majority of which historically consisted of flat grassland and oak woodlands. The City is generally bordered by the American River to the north, Hazel Ave and the boundary of the 100-year floodplain for the Consumnes River on the east, Jackson Highway on the south, and Bradshaw Road on the west.

Population Overview
The U.S. Census bureau estimates the City’s population to be 75,086 persons as of July 2019 (U.S. Census Bureau 2021). Table 4 illustrates the City’s demographics by sex, race, and age according to the U.S. Census. As shown, the majority of residents identify as white with those identifying as Hispanic being the second largest demographic group. In terms of youth and elderly populations, 42 percent of City residents are either under 18 years or over 65 years old, populations at increased risk from climate-related hazards. The City is highly educated: 88 percent of the population over 25 years old has at least a high school degree, and 29 percent of the population over 25 years old has a bachelor’s degree or higher (U.S. Census Bureau 2021).

Table 4 City Demographics by Sex, Race, and Age
Demographic Characteristics City of Rancho Cordova Sacramento County Population 47,459 1,552,058
Male 48% 49%
Female 52% 51%
White alone 42% 44%
Hispanic or Latino 23% 39%
Asian alone 14% 16%
Two or more races 9% 6%
Black or African American alone 10% 9%
American Indian and Alaska Native alone 0.4% 0.4%
Persons under 18 years 28% 23%
Between 18 and 64 years 59% 62%
Persons 65 years and older 13% 14%
Source: U.S. Census Bureau 2021.

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2.2 TEMPERATURE AND EXTREME HEAT ANALYSIS
Existing and Future Temperatures and Extreme Heat
The City has a mediterranean climate characterized by mild winters and hot, dry summers. The wet season runs from October through April, though there is occasional light rainfall in the summer months. The annual temperature mean is 61.1 °F, with monthly means ranging from 45.8°F in December to 75.4 °F in July. Summer high temperatures are often moderated by the “delta breeze”: which comes through the Sacramento-San Joaquin River Delta from the San Francisco Bay. The City experiences temperatures in excess of 100°F during the summer and fall months, reaching daily maximum temperatures of 105-115°F (Sacramento County 2021).

As discussed in California’s Fourth Climate Change Assessment Sacramento Valley Region Report, changes in temperature and extreme heat events in northern California are anticipated to affect the Sacramento Valley Region (boundary defined in the Regional Report) (OPR et al. 2018). Changes for the Sacramento Valley region include more warming in the summer than the winter (with July–September increases of 2.7°F–10.8°F) and greater warming inland than in coastal regions (by as much as 7.2°F) (Pierce et al. 2018). Table 5 provides a summary of the projected temperature increases over the century for the City.

Future Changes in Temperature and Extreme Heat
As shown in Table 5, both annual maximum and minimum are projected to increase throughout the 21st century. The average annual maximum temperature in the City is projected to increase approximately six percent from 74.2°F historically (1961-1990) to 78.3°F in the near-term and increase approximately eight percent to 79.8°F in the midterm.

The average annual maximum temperature is projected to increase eight to 12 percent to 80.2°F and 83.1°F in the late-century period under the medium and high emissions scenarios, respectively. The average annual minimum temperature in the City is projected to increase approximately five percent from 49.3°F historically (1961-1990) to

52.9°F in the near-term and increase approximately six percent to 54.1°F in the midterm. In the late-century period, average annual minimum temperature is projected to increase between seven and 11 percent to 54.3°F and 57.7°F under the medium and high emissions scenarios, respectively (CEC 2021a). Increased temperatures in the City will influence secondary climate effects, including extreme heat events, wildfire, and drought. Figure 4 below illustrate the changes in annual average maximum temperature in the City and the County, highlighting the variability in temperature increases across the County throughout the 21st century.

Table 5 Changes in Average Annual Temperature in the City of Rancho Cordova Geography Average Annual
Temperature
Historic Average
Annual Temperature
(1961-1990)
Near-Term
(2021-2050)
Midterm
(2040-2070)
Late-Century (2070-2099)
Medium
Emissions
High
Emissions
City of Rancho
Cordova
Maximum Temperature (°F) 74.2 78.3 79.8 80.2 83.1
Minimum Temperature (°F) 49.3 52.9 54.1 54.3 57.7
Notes: °F = degrees Fahrenheit.

Source: CEC 2021a.

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Near-Term (2021 – 2050) Midterm (2040 – 2070)

Medium Emissions - Late Term (2070 – 2099) High Emissions - Late Term (2070 – 2099) Source: Data downloaded from CEC and DWR in 2019.

Figure 4 Sacramento County Annual Average Maximum Temperature through 2099 ITEM 10.1. ATTACHMENT 5

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Along with increases in annual average temperature, the City is anticipated to experience increases in the average number of extreme heat days per year, as well as increases in the frequency and duration of heat wave events. Based on the parameters set in Cal-Adapt and for the purposes of this analysis, an extreme heat day is defined as a day between April and October with a maximum temperature of 103.6°F or above. This threshold was chosen because it is the 98th percentile of historic maximum temperature for days in the historic period (1961–1990), meaning 98 percent of all recorded temperatures in this period were below 103.6°F. This is also the recommended threshold by the Extreme Heat tool in Cal-Adapt. For the purposes of this analysis, a heat wave event is defined as a series of 4 or more days above 103.6°F. Table 6 illustrates the projected changes in extreme heat events. In the historic period, the maximum duration of days above 103.6°F is 2.5 days, which does not qualify as a heat wave based on the heat wave threshold used. By the midterm period, the City will experience heat wave events that qualify based on the established threshold.

Table 6 Changes in Extreme Heat in the City of Rancho Cordova Extreme Heat Event Extreme Heat Event
Metric Historic (1961-1990) Near-Term (2021-2050)
Midterm
(2040-2070)
Late-Century (2070-2099)
Medium
Emissions
High
Emissions
Extreme heat days Days above 103.6°F 4 19 32 29 48
Heat wave events 4-day period above
103.6°F 0.2 1.4 4.8 4.0 7.8
Heat wave duration Consecutive days above
103.6°F 2.5 6.3 7.2 8.5 14.2
Notes: °F = degrees Fahrenheit.

Source: CEC 2021a.

As shown in Table 6, while heat waves have historically been infrequent in the City, with a historical average of less than one heat wave annually, climate change is expected to increase the frequency of heat waves. Under the high emissions scenario, the City is projected to still experience 19 extreme heat days in the near-term and 32 extreme heat days annually in the mid-term. By the late-century, the City will experience 29 extreme heat days per year under the medium emissions scenario and 48 extreme heat days per year under the high emissions scenarios.

In terms of heat wave events, the City is projected to experience approximately 1.4 heat waves per year in the near-term and 4.8 heat wave events in the midterm. By the late-century, the City is projected to experience 4 heat waves per year under the medium emissions scenario and 7.8 heat waves per year under the high emissions scenarios. The average number of days in the longest stretch of consecutive extreme heat days per year is also projected to increase.

Historically, the longest stretch of consecutive extreme heat days lasted for an average duration of approximately twoand-a-half days. The longest stretch of consecutive extreme heat days is projected to increase significantly to 6.3 days in the near-term period and 7.2 days by the midterm period. By late-century, the duration is projected to increase to an maximum length of 8.5 days under the medium emissions scenario and 14.2 days under the high emissions scenario (CEC 2021b). The timing of extreme heat days is also projected to change over the 21st century with more extreme heat days and heat wave events occurring earlier in the year (April through May) and more severe events occurring in the historically hot months of September and October (CEC 2021b).

Extreme Heat Sensitivity and Impacts
This section provides an overview of the anticipated impacts on the City from the increases in temperature and extreme heat, discussed above, and subsequent secondary impacts. The impact discussion is organized around the three analysis time periods.

Based on the information included in the exposure analysis, the impact analysis is intended to identify and describe impacts on the City’s built environment, vulnerable populations, and community functions anticipated to result from temperature increases and increases in the frequency and severity of extreme heat events. To help better understand ITEM 10.1. ATTACHMENT 5

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how and when these impacts will occur, a series of threshold indicators are used to assess how various aspects of the City’s normal functions are affected when temperature-related thresholds are exceeded.

Existing Heat Sensitivities and Urban Heat Island Effect Although the City’s mediterranean climate includes high temperatures during summer and fall months, the City’s urban land use patterns can intensify periods of extreme heat through the “urban heat island” (UHI) effect. The UHI effect is generally understood as the phenomenon of urban areas being significantly warmer than surrounding rural areas because of human activity and land use patterns in the built environment. Several factors contribute to the effect, with the primary cause being changes in land surfaces (EPA 2008). The albedo of a surface is the measure of the surface’s ability to reflect or absorb solar radiation, with darker surfaces having a lower albedo and absorbing more solar radiation. As urban areas develop over time, resulting in the development of more land surfaces with low albedos (e.g., asphalt pavement, dark building surfaces), more solar radiation is absorbed in these materials causing increased ambient temperatures and warmer nighttime temperatures. Another factor contributing to the UHI effect is the loss of evapotranspiration in urban areas. Evapotranspiration, the movement of water to the air from sources such as the soil, plants, and bodies of water, reduces ambient air temperatures (EPA 2008). As cities grow and often reduce the extent of available vegetation that contributes to evapotranspiration, UHI effects are exacerbated.

Additionally, waste heat from human activities involving machinery (e.g., vehicle traffic, using air conditioning, industrial activity) can also contribute to the UHI effect, with excess heat absorbed by surrounding surfaces (Sailor 2011; Zhu et al. 2017).

Sensitive Land Uses
Land use patterns and the design of the built environment in urban areas play a large role in an area’s exposure to the UHI effect (Stone and Rodgers 2001; Solecki et al. 2005). Urban land uses with large, paved areas, low albedo, and less vegetation (e.g., commercial, industrial uses) tend to be subject to the UHI effect and have higher nearby ambient temperatures. Conversely, land uses with smaller percentages of paved surfaces and abundant vegetation (e.g., parks) tend to have lower average temperatures compared to other portions of urban areas. A study looking at the relationship between land use patterns and the UHI effect in Toronto, Canada found a statistically significant difference between average maximum temperatures for commercial and resource/industrial land uses and other surrounding land uses. The study also found the average low temperatures for parks, recreational land, and water bodies to be lower than those for surrounding land uses, likely because of increased evapotranspiration (Rinner and Hussain 2011). Additionally, areas that have higher concentrations of commercial and industrial land uses clustered together can have increased ambient and surface temperatures, with temperatures increasing relative to the size of these areas (Rinner and Hussain 2011). Increased temperatures in areas with concentrations of commercial and industrial land uses can also result in secondary impacts, including increased cooling demand for buildings, pavement deterioration, decreased air quality, and reduced stormwater quality from above-average-temperature runoff entering natural waterways and nearby ecosystems (Rinner and Hussain 2011).

The California Environmental Protection Agency has developed a UHI index (UHII) to assess the severity of the UHI effect in various urban areas throughout the state. The scores are based on the temperature difference over time between urban census tracts and nearby upwind rural reference points to demonstrate the relative difference in temperature caused by the urban environment (CalEPA 2019). Figure 5 shows the UHII effect for the County by census tract.

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Source: CalEPA 2019.

Figure 5 Urban Heat Island Index for Sacramento County
As shown in Figure 5, compared to other urban areas in County, census tracts in the City being affected by the UHI effect but not as severely as other areas in the County. As discussed above, a number of factors contribute to the UHI effect. Factors that could be contributing to the City’s relatively low UHII score include the presence of rural land uses surrounding the City, particularly to the south and east of the City’s more urban areas. As the City continues to grow, developing medium and high-density transit-oriented land use patterns will be an important part of helping the City achieve its greenhouse gas emissions reduction targets included in the City’s CAP. However, as this growth occurs, it is also important to consider how new development may contribute to the UHI effect and include strategies to mitigate the UHI effect from new development in the City.

Transportation System Heat Sensitivities
Transportation systems are designed and constructed to withstand certain variabilities in weather and temperature based on observations of historical weather trends for specific climate regions (Li et al. 2011). The performance of transportation assets may begin to decline when the severity of extreme heat periods exceeds historical ranges, for example, rail buckling at temperatures above 111°F. The characteristics of extreme heat events will affect different transportation assets differently. Provided below is a summary of the quantitative and qualitative thresholds used to assess the impacts of climate change on the City’s transportation system. These thresholds were applied to the specific geography of the City using Cal-Adapt data and are presented in Table 7.

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Pavement Deterioration
The effect of temperature on the performance and integrity of pavement depends on a variety of factors, including material type (asphalt versus concrete), the albedo of the material, details specific to the material mixing and placement, and soils and materials in the subbase of the roadway (Harvey et al. 2000). The performance of pavement also is dependent on the traffic volumes and types of vehicles using the roadway (Harvey et al. 2000). Based on the City’s Standard Construction Specifications, based on Sacramento County Standards (Sacramento County 2016), roadways in the City use a binder within the asphalt mix with a Performance Grade of 64-16 means that roadways using this binder can withstand 7 consecutive days of pavement temperatures up to 64°C (147°F), after which point the heat can result in rutting along high-volume roadways and cause considerable safety issues. Based on guidance in the FHWA’s Vulnerability Assessment and Adaptation Framework (FHWA 2017), this pavement temperature threshold can be translated into an ambient air temperature of 111°F. The UHI effect can increase ambient temperatures between 1.8°F and 5.4°F in urban areas compared to surrounding rural areas. Because the Cal-Adapt tool does not account for the added effects of the UHI effect in its projections, this analysis is conservative in setting a threshold for pavement impacts.

As a result, the threshold used for widespread impacts on pavement in the City is a 7-day consecutive heat wave with a maximum daily temperature of 108°F. The analysis in roadways using this threshold is included below in Section 2.4.2.

Rail Buckling
During periods of extreme heat, rail lines can expand and result in “buckling” in which tracks come out of alignment, resulting in serious safety issue. However, the risk of buckling is managed by designing the rail neutral temperature at 95-110°F (35-45°C), with tracks designed and fit into infrastructure that assumes operations at those temperatures could occur (OFCM 2002, Transportation Research Board and National Research Council 2008). For this analysis, the threshold for increased risk from rail buckling is days in which the maximum daily temperature is 111°F or above.

Public Transportation Operations and Bridges
Research has found that when daily maximum temperatures reach 100°F, air conditioning units in buses are placed under increased stress and risk of failure (Cambridge Systematics 2015). For this analysis, the threshold for public transportation is days per year with maximum temperatures above 100°F.

Additionally, research indicates that bridges are at increased risk from thermal expansion during periods above 100°F.

While bridges are designed to expand during periods of extreme heat, projected increases in extreme heat events could go beyond design criteria, resulting in cracking and crushing of the roadway deck, as well as increased maintenance costs (Transportation Research Board and National Research Council 2008). The number of days above 100°F is also used as a threshold to determine impacts on bridges (Zimmerman 1996).

Heat Sensitive Populations
Certain vulnerable populations in urban areas are particularly vulnerable to extreme heat and related hazards.

Vulnerable populations include persons over the age of 65, infants and children, individuals with chronic health conditions (e.g., cardiovascular disease, asthma), low-income populations, athletes, and outdoor workers (CDC 2019).

Increased temperatures have been reported to cause heat stroke, heat exhaustion, heat syncope, and heat cramps, with certain vulnerable populations at increased probability of experiencing these effects (Kovats and Hajat 2008). Extreme heat can also worsen air quality, quickening the production of ozone in areas with increased concentrations of ozone precursors (i.e., oxides of nitrogen [NOX] and reactive organic gases [ROG]) (Knowlton et al. 2004). This is of particular concern to the City because the Sacramento Valley Air Basin has high concentrations of ROG and NOX emissions and is currently in nonattainment status for California ambient air quality standards for ozone (SMAQMD 2017).

Alongside populations with health sensitivities, residents with specific sociodemographic characteristics are at increased sensitivity to extreme heat events (CDC 2019). Research has found that low-income residents spend a larger proportion of their income on utilities, including electricity use for cooling, with these residents being disproportionally affected during extreme heat events (Voelkel et al. 2018). Additionally, research has found that lowincome neighborhoods can often have less tree coverage and park space, further contributing to the disproportionate impact on low-income residents (Zhu and Zhang 2008). Unhoused individuals are also at increased risk from extreme heat events with, generally, less access to places to cool off and healthcare resources during these ITEM 10.1. ATTACHMENT 5

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events. Additionally, decreased access to transportation services can further increase exposure and health risks from extreme heat events for the unhoused community (Ramin and Svoboda 2009).

Unlike thresholds for transportation assets, heat-related thresholds for populations in an urban area vary widely and depend on a number of factors, including the sensitivity of specific populations to heat (e.g., elderly, children). For this analysis, the California Heat Assessment Tool (CHAT) was used to identify how Heat Health Events (HHE) would increase in the future. An HHE, for the purposes of the tool, is defined as any event that results in negative public health impacts, regardless of the absolute temperature. The tool includes unique HHE threshold for locations throughout the state, specific to the climate and the historical sensitivity of people in that area to past extreme heat events. For this analysis, the CHAT tool and the projected increase in HHEs in the City is used as the threshold for this sensitivity. The heat wave event threshold, defined as a 4-day consecutive period with daily maximum temperatures above 103.1°F, is also used to identify various impacts from heat wave events.

Buildings and Energy Use
Changes in annual average temperature and extreme heat events are likely to effect buildings primarily through changes in energy use as well as disproportionate impacts on individuals residing in units that do not have air conditioning. Cal-Adapt provides data on the shifts in Cooling Degree Days and Heating Degree Days, which are measurements used to assess the energy demand needed for cooling and heating buildings in different climate zones throughout California. A degree day does not equate to a single day of the year but rather compares the mean (the average of the high and low) outdoor temperatures recorded for a location to a standard temperature (i.e., 65°F).

For example, if the average temperature for a day is 80°F, the day has 15 Cooling Degree Days (80 – 65 = 15). Degree days are used in the State’s Title 24 Building Energy Efficiency Standards to help design the energy demand needed for heating and cooling in the various climate zones throughout the state. To illustrate how climate change is likely to affect energy demand for heating and cooling in the future, Table 7 includes the relative shift in Cooling Degree Days and Heating Degree Days in the City through 2099.

Table 7 Summary of Potential Heat Impacts by Impact Area through 2099 Impact Area Impact Type Threshold Criterion Historic
(1961–1990)
Near Term
(2021–2050)
Midterm
(2040–2070)
Medium
Emissions
Long Term
(2070–2099)
High
Emissions
Long Term
(2070–2099)
Threshold Source
Built
Environment
impacts
Roadways and
pavement
7 consecutive days
above 108°F 0 0 0.1 0.1 0.5 DOT 2014
Rail buckling
Days per year with
maximum
temperature of 111°F
0 2 3 3 9 OFCM 2002
Bridges and bus
operations Days above 100°F 15 35 44 24 67
Zimmerman 1996,
Cambridge
Systematics 2015
Building Energy
Use
Percent increase in
Cooling Degree Days n/a 49% 48% 46% 74% CEC 2021b
Percent increase in
Heating Degree Days n/a -25% -44% -50% -81% CEC 2021b
Vulnerable
Population
impacts
Heat wave events 4-day period above
103.6°F 0.2 1.4 2.5 2.6 5.4 CEC 2021b
Heat wave
duration
Consecutive days
above 103.6°F 2.5 6.3 6.9 8.5 14.2 CEC 2021b
Heat Health
Events (HHE)
Range of potential
HHEs per year n/a 2.9 3.9 4.2 4.8 CEC 2018a
Note: NA = not available.

Source: See sources in “Threshold Source” column of table.

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City of Rancho Cordova Vulnerability Assessment

Near Term (2021–2050)
As shown in Table 7, during the near-term period, extended periods (7 consecutive days) of temperatures reaching above 108° would be unlikely; therefore, there would not be widespread impacts from pavement deterioration in the City. The City has experienced buckling of sidewalks due to extreme heat conditions, prompting repairs to avoid tripping hazards. As extreme heat continues to increase in severity and frequency in the future, this impact is likely to increase as well. Increased risk to rail from extreme heat days will increase slightly, with only 3 days over 111°F.

However, there will be continued increases in risk from thermal expansion of bridges, with increases in days above 100°F from 15 historically to 44 during this period. An increase in the number of days above 100°F will also place increased stress on buses and their air conditioning systems, as well as result in potential declines in bus ridership because of the discomfort. During this period, the number of Cooling Degree Days will increase approximately 49 percent increase over historic levels, placing more demand on the electricity grid during heat wave events and increase electricity bills for residents. Conversely, the number of Heating Degree Days will decrease by approximately 25 percent and reduce energy demand for heating, resulting in cost savings for residents and businesses cooler months during those months. City staff have noted that extreme heat events have already begun to affect the homeless population in the City, prompting the need for cooling center to house the City’s homeless population and other vulnerable populations. As extreme heat events continue to increase in frequency and severity, these impacts are likely to become more pronounced and demand for cooling centers as well as emergency services will increase.

During the near-term period, the City will also experience approximately 2.9 HHEs per year, with increased risk to populations particularly vulnerable to extreme heat, as discussed above. The frequency of extreme heat events will increase to 1.4 on average per year with the maximum duration of events increasing to 6.3 days during this period.

These events will increase the risk of public health impacts on vulnerable populations and could result in increased burden on low-income residents because of the increased energy demand for cooling (Calkins et al. 2016).

Midterm (2040–2070)
During the midterm period, there would likely not be any extended periods (7 consecutive days) above 108°F during this period; therefore, there would not be widespread impacts from pavement deterioration in the City. Increased risk to rail from extreme heat days will be relatively minor, with only 2 days over 111°F. However, there will be noticeable increases in risk from thermal expansion of bridges, with increases in days above 100°F from 15 historically to 35 during this period. An increase in the number of days above 100°F will also place increased stress on buses and their air conditioning systems, as well as result in potential declines in bus ridership because of the discomfort. During this period, the number of Cooling Degree Days will increase approximately 49 percent increase over historic levels, placing more demand on the electricity grid during heat wave events and increase electricity bills for residents. Conversely, the number of Heating Degree Days will decrease by approximately 44 percent over historic levels and reduce energy demand for heating, resulting in cost savings for residents and businesses cooler months during those months.

During the near-term period, the City will also experience approximately 3.9 HHEs per year, with increased risk to populations particularly vulnerable to extreme heat. The frequency of extreme heat events will continue to increase to

2.5 on average per year with the maximum duration of events increasing to 6.9 days. These events will increase the risk of public health impacts on vulnerable populations and continue to disproportionately burden low-income residents because of the increased energy demand for cooling (Calkins et al. 2016).

Long Term (2070–2099)
During the long-term period, increases in the duration and frequency of heat wave events will place increased stress on transportation assets and could result in subsequent impacts on community functions. By this period, under the High Emissions scenario, there would be an average of 0.5 events per year with extended periods (7 consecutive days) above 108°F. There would be only 0.1 events per year under the Low Emissions scenario for this period. As discussed in Section 2.4.1, these events will result in much larger impacts on the performance of pavements in the City. Extensive rutting could occur, particularly on high-volume roadways, including Folsom Boulevard, Sunrise Boulevard, and International Drive, as well as on Caltrans facilities (i.e., SR-50).

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During this period, there would be significant risk to rail infrastructure from extreme heat days, with approximately 9 days over 111°F per year under the High Emissions scenario, likely affecting Regional Transit light rail service when these events do occur. Risk of impacts on bridges from thermal expansion will also increase considerably, with the number of days above 100°F per year increasing from 12 historically to 24 under the Low Emissions scenario and 67 days under the High Emissions scenario. During the long-term period, the City will experience between 4.2 and 4.8 HHEs depending on future emissions, with increased risk to vulnerable populations. The increased frequency of HHEs will likely place increased demand on emergency services and emergency care facilities and could result in economic consequences from impacts on public health and work productivity (Paterson et al. 2014). The frequency and duration of heat wave events will increase considerably during this period, with the maximum duration of events increasing to 14.2 days under the high emissions scenario. These events will increase public health impacts on vulnerable populations, with increased levels of risk for elderly and youth populations, as well as individuals with chronic health conditions (Voelkel et al. 2018).

By the end of the century, the number of Cooling Degree days will increase approximately 74 precent, under the high emissions scenario, resulting in more than 3 months of the year requiring increased energy demand for cooling. By this period, the number of Heating Degree Days will decrease by approximately 81 percent under the High Emissions scenario by 2099. Increases in energy demand for cooling during this period will also have larger impacts on the electricity grid, with increased stress on and risks to electricity generation facilities and transmission lines (DOE 2016).

Potential Impact Score
Based on this analysis, the potential impact score for Temperature and Extreme Heat is High.

2.3 PRECIPITATION AND FLOODING ANALYSIS
Existing and Future Flooding Conditions
Scientists, engineers, and planners all use a specific system to measure and plan for certain sizes of storm events and flood impacts associated with these events. These events are measured by the probability that they are likely to occur in a given year. The phrase “100-year storm,” for example, refers to a storm event with a 1-in-100 or one percent chance of occurring in any given year. The size and other aspects of these storms are identified to characterize the nature of the events based on historic data. The metrics are then used to plan and design stormwater management systems that can cope with storm events of these sizes. The Federal Emergency Management Agency (FEMA) uses certain larger storm events (i.e., 100-, 500-year storms) to identify flood hazard areas in the United States. FEMA administers flood insurance based on location and extent of impacts from these storm events, which influences land use patterns and development in cities. The following metrics are used in this analysis to discuss storm events and are included in projections from the Cal-Adapt tool:
 Intensity—The amount of rainfall that occurs over a certain period (e.g., 1 hour, 24 hours, 5 days) during storm events of different sizes (e.g., 100-year storm event, 2-year storm event)  Duration—The longest stretch of consecutive days during a water year (October through September) with rainfall above a certain threshold
 Count—The number of days during a water year (October through September) with rainfall over a certain period (e.g., 1 hour, 24 hours, 5 days) above a certain threshold  Timing—The timing during the year in which rainfall events exceeding a certain threshold occur The City’s Local Hazard Mitigation Plan (LHMP), which was developed as an annex to the Sacramento County Local Hazard Mitigation Plan which is currently being updated with the public draft of the document available, includes summary of the existing natural and manmade hazards affecting the City have been analyzed to assess current risks levels for each hazard (Sacramento County 2021). The LHMP provides details on the planning process, risk assessment, and mitigation strategies for the City to address specific hazards including large flooding events and flood related hazards.

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Historically, flooding from large storm events is a significant problem in the County and the City. Historically, the City has been at risk to flooding primarily during the winter and spring months when river systems in the County swell with heavy rainfall and snowmelt runoff. The City also experiences flooding challenges in the Morrison Creek watershed as well as obstructions to peak storm flow management with the Folsom South Canal which runs northsouth through the City.

Storm floodwaters are typically managed by the City’s stormwater management system, which is able to collect and divert stormwater runoff from smaller storm events. However, extended heavy rains result in floodwaters that exceed normal high-water boundaries and cause damage. Major surface waters in the vicinity of the City include the American River, Folsom Reservoir, and Lake Natomas to the north. Other surface waters within the City include the Folsom South Canal, Cordova Creek, Deer Creek, and the Morrison Creek Stream Group (Morrison, Laguna, Elder, Gerber, Unionhouse, Florin, Buffalo, and Frye Creek, as well as Rebel Hill Ditch) which generally flow in a southwesterly direction southeast of the City. The topography within the City includes gently rolling terrain, such as that found in the eastern Great Central Valley interrupted by numerous seasonal creeks and streams. These creeks and streams are largely ephemeral and intermittent, which is typical of areas that experience dry summers and cool, wet winters, as in this part of the Central Valley.

The County and City have a large number of large-scale flooding events resulting in Federal and State disaster declarations. Table 8 includes a list of state and federal disaster declarations for the County since 1950.

Table 8 Changes in Average Annual Precipitation and 5-Year Storm Event in Sacramento County Type of Hazard Event Federal Declarations State Declarations Count Years Count Years
Flood (including
heavy rains and
storms)
19 1950, 1955, 1958 (twice), 1963,
1969, 1982 (twice), 1983, 1986,
1995 (twice), 1996, 1997, 1998,
2008, 2017 (three times)
14 1955, 1958, 1964, 1969, 1983,
1986, 1995 (twice), 1997, 1998,
2006, 2017 (three times)
Source: Sacramento County 2021.

As shown in Figure 6, small portions of the City are located within the FEMA floodplains for the 100- and 500-year storm events. Figure 6 also includes areas within the 200-year flood zone which were mapped as part of the City’s GP updated process and used to comply with the requirements of Senate Bill (SB) 5, which requires cities in the Sacramento-San Joaquin Valley area to assess risk-levels and provide increased flood protection for properties in the 200-year floodplain. As shown in Figure 6, the northern boundary of the City is located along the American River, with this area of the City at the highest risk from flooding.

Based on information in the City’s LHMP, there are 58 properties located in the 100-year flood zone valued at a total of $21.6 million. As part SB 5, jurisdictions in the Sacramento-San Joaquin Valley are required to identify properties located in the the 100- and 200-year floodplains and implement development standards that prohibit new development in the 200-year floodplain unless the property achieves an Urban Level of Flood Protection (ULOP), defined in SB 5. To satisfy the requirements of ULOP, the City has developed a 200-yr floodplain map based on the proposed Folsom Dam improvements by the US Army Corps of Engineers. These improvements include the Joint Federal Project to improve the dam spillway and the future dam raise to increase flood storage. In conjunction with the new 200-yr map, the City has made changes to its General Plan and zoning code that will guide development within the 200-yr ULOP.

As illustrated in Figure 6, the 500-year floodplain also impacts the northern portions of the City along the American River with118 residential parcels located within this zone. The City has one critical facility located in the 100-year flood zone, six critical facilities in the 200-year flood zone, and 5 critical facilities in the 500-year flood zone. While portions of the City are within the 100- and 500-year flood zones, there have been no historical insurance claims for flood losses in the City (Sacramento County 2021).

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Source: Sacramento County 2021 and data provided by City of Rancho Cordova staff.

Figure 6 Flood Zones and Critical Facilities in the City of Rancho Cordova ITEM 10.1. ATTACHMENT 5

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As shown in Table 9, there are several areas in the City with various land uses in the 100- and 500-year flood zone. As discussed above, the presence of the Laguna West Levee System near the Laguna West neighborhood is protecting 2,073 parcels from the 100-year flood event. Parcels located in the 100-year flood zone are located in flood zone areas surrounding Laguna Creek and Deer Creek. Alongside an analysis of land uses at risk of flooding, the City’s LHMP also analyzed the number of essential service facilities, and at-risk populations that are located within the 100- and 500-year flood zones. Table 9 summarizes the number and type of critical facilities located within the 100- and 500-year flood zones.

Table 9 City of Rancho Cordova Properties by Land Use in FEMA Flood Zones Land Use 100-Year Flood Zone 500-Year Flood Zone
Residential 19 1,118
Retail/Commercial 0 3
Office 0 2
Industrial 0 0
Care/Health 0 0
Church/Welfare 0 2
Recreational 1 0
Miscellaneous 35 11
Public/Utilities 0 2
Vacant 3 2
Total 58 1,145
Note: FEMA = Federal Emergency Management Agency.

Source: Sacramento County 2021.

Future Changes in Precipitation Patterns and Flooding
As discussed in the Fourth Climate Change Assessment Sacramento Valley Report, changes in precipitation patterns in northern California are anticipated to affect the Sacramento Valley region as well as adjacent regional watersheds which affect the Sacramento Valley (OPR et al. 2018). Projected shifts include increases in the intensity of large storms events, which could compromise the performance of the Sacramento Valley and Central Valley flood management systems (Pierce et al. 2018). Based on California’s location next to the Pacific Ocean, the state is exposed to the atmospheric river phenomenon, a narrow corridor of concentrated moisture in the atmosphere. California is subject to precipitation from an atmospheric river that transports water vapor from as far south as Hawaii to the state. The presence of the atmospheric river contributes to the frequency of “wet years” in the state, when there is an aboveaverage number of atmospheric river storms and above-average annual precipitation. While research indicates that the frequency of large storms events does increase in these wet years, the most severe flooding from atmospheric rivers may not be in wet years (Swain et al. 2018). The largest flooding impacts are caused by persistent storm sequences on sub-seasonal timescales (i.e., short time periods, typically 2 weeks to 3 months), which bring a significant fraction of annual average precipitation over a brief period. These are storms events similar to the Great Flood events of 1861–1862 which caused widespread damage throughout northern California (Swain et al. 2016).

Based on current climate modeling, the frequency of these large storm sequences over short timeframes is projected to increase noticeably under the High Emissions scenario. It is estimated that a storm similar in magnitude to the Great Flood events is more likely than not to occur at least once between 2018 and 2060 (Swain et al. 2018). A storm of this size would likely compromise large portions of the flood control systems in the Sacramento and the Central Valleys (Swain et al. 2018).

Regional changes in precipitation over the century will subsequently result in local changes in both annual precipitation and changes in the characteristics of storm events in the City and the County more broadly. Table 10 includes the projected precipitation changes in the County through 2099. The precipitation changes included in Table 10 are illustrated in Figure 7.

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Table 10 Sacramento County Precipitation Change (Historic to 2099) Geographic Area Historic
(1961–1990)
Change in Annual Mean Precipitation (Inches)
Near Term
(2021–2050)
Midterm
(2040–2070)
Late-Century
Medium Emissions
(2070–2099)
High Emissions (
2070–2099)
Sacramento County 18.3 20.1 20.2 20.3 22.1
Percent Change from Historic Period NA 10% 10% 11% 21%
Note: NA = not available.

Source: CEC 2021a.

As shown in Table 10, annual precipitation in the County is estimated to increase between 11 and 21 percent by 2099 under the medium and high emissions scenarios, respectively. As noted in the Fourth Climate Change Assessment Sacramento Valley Report, although annual precipitation is anticipated to increase in the region, California’s climate oscillates between extremely dry and extremely wet periods with annual precipitation varying widely from year to year.

Climate change is anticipated to exacerbate these seasonal extremes with dry periods becoming dryer and wet periods becoming wetter (OPR et al. 2018). As a result, the frequency and severity of large storm events are anticipated to increase as well. These oscillations between extremely dry and extremely wet periods, which have occurred historically in the state, are anticipated to become more severe with rapid shifts from dry to wet periods known as “whiplash events” (Swain et al. 2016). As Swain et al. note in their research, the recent 2012–2016 drought followed by the 2016–2017 flood events throughout the state serve as a good example of the type of whiplash events that will occur more frequently over the next century. These types of events are estimated to increase by approximately 25 percent in northern California, with increases in frequency occurring largely after 2050 (Swain et al. 2016).

Although annual precipitation is anticipated to increase in the City over the coming decades, the majority of the increase in precipitation is likely to occur during extreme precipitation events (Swain et al. 2018). As a result, it is important to understand how these shifts in extreme precipitation events will affect the City and regional watersheds which affect the stormwater management system and larger waterways within the City, though they begin outside the City boundaries. The Cal-Adapt Extreme Precipitation Event tool provides information on how the characteristics of extreme precipitation events will change over the century, including the ability to analyze changes at the watershed level.
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ITEM 10.1. ATTACHMENT 5

ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Vulnerability Assessment

Near-Term (2021 – 2050) Midterm (2040 – 2070)

Medium Emissions - Long Term (2070 – 2099) High Emissions - Long Term (2070 – 2099) Source: Data downloaded from CEC and DWR in 2021.

Figure 7 Sacramento County Annual Average Precipitation through 2099 ITEM 10.1. ATTACHMENT 5

City of Rancho Cordova Vulnerability Assessment

The characteristics of extreme precipitation events are what are most commonly used to model and design urban stormwater management systems to ensure the system can withstand the rainfall and stormwater runoff that occurs during these events. For the purpose of this analysis, the specific storm events chosen are consistent with three size storm events used to design the City’s stormwater management system and are included in the Sacramento County Drainage Manual. These include the 2-, 10-, and 100-year storm events for rainfall over a 24-hour period. Table 11 summarize the changes in amount of rainfall projected to occur in American River watershed, the main watershed affecting the City for the 2-, 10-, and 100-year storm events through 2099 under the high emissions scenario.

Table 11 Changes in Rainfall During Extreme Precipitation Events Watershed Storm
Event Size
Historic
(1961–1990)
Change in 24-Hour Rainfall Period (Inches) for 100-Year Storm Event Midterm (2035–
2064)
Percent Change
(Historic to 2064)
Long-term (2070–
2099)
Percent Change
(Historic to 2099)
American
River
Watershed
100 7.1 4.8 -32% 6.3 -11%
10 3.5 2.9 -17% 3.5 0%
2 2.1 2.0 4% 2.3 9%
Notes: This table shows estimated intensity (Return Level) of Extreme Precipitation events, which are exceeded on average once every 2, 10, and 100 years (Return Period). Extreme Precipitation events, defined here, are days during a water year (October through September) with 1-day rainfall totals above an extreme threshold set for each of the watersheds, which is based on the lowest annual maximum storm intensity in historic records.

Source: CEC 2021a.

As shown in Table 11, by midcentury, the American River watershed is projected to experience decreases in rainfall during the 100- and 10-year storm event and a slight increase in the 2-year storm event. By late century, the watershed will experience an 11 percent decrease in the intensity of the 100-year storm event, no change in the 10- year storm event, and a more nine percent increase in the 2-year storm events. Climate change is also projected to increase frequency and maximum duration of larger precipitation events. For the American River watershed, there is projected to be slight increase in number of larger precipitation events from five events historically by the latecentury period. The maximum durations of these events will also increase from two days historically to 2.3 days by the late-century period.

Future Flood Impacts
Stormwater Drainage System
In current practice, the stormwater management systems in urban areas are modeled to manage large storm events based on characteristics of rainfall specific to the region from observed historical data. These characteristics in the intensity, duration, and frequency (IDF) of extreme precipitation events. These characteristics are described using IDF curves which are used to design various components of urban drainage systems including pipes, culverts, waterway channels, and detention ponds. Because climate change is anticipated to shift precipitation patterns during storm events, these changes could impact the performance of urban stormwater management systems (CEC 2018b).

Increases or changes in the IDF curve can impact the integrity of stormwater infrastructure, particularly natural and engineered slopes such as levees (CEC 2018b). Based on current design standards, the City’s drainage system has been designed based on the 2-, 10-, and 100-year storm events. Consistent with these standards, the primary sensitivity threshold for this precipitation and flooding impacts is the exceedance of the historic intensities of the 2-, 10-, and 100-year storm event for the 24-hour period. This threshold is developed from the understanding that the City’s current stormwater management and flood protection system is designed based on historic observations for the size of flood events. If these historic storm intensities are exceeded, this would likely begin to disrupt, deteriorate, damage, or generally affect the performance of the City’s stormwater management and flood protection systems (CEC 2018b). The analysis also considers the magnitude of the increase above the historic storm levels in the severity of the impacts that may occur.

ITEM 10.1. ATTACHMENT 5