Prediction of optimal safe ground water yield and land subsidence in the Los Banos-Kettleman City area, California, using a calibrated numerical simulation model
Kj. Larson et al., Prediction of optimal safe ground water yield and land subsidence in the Los Banos-Kettleman City area, California, using a calibrated numerical simulation model, J HYDROL, 242(1-2), 2001, pp. 79-102
Land subsidence caused by the excessive use of ground water resources has t
raditionally caused serious and costly damage to the Los Banos-Kettlerman C
ity area of California's San Joaquin Valley. Although the arrival of surfac
e water from the Central Valley project has reduced subsidence in recent de
cades, the growing instability of surface water supplies has refocused atte
ntion on the future of land subsidence in the region. This paper uses integ
rated numerical ground water and land subsidence models to simulate land su
bsidence caused by ground water overdraft. The simulation model is calibrat
ed using observed data from 1972 to 1998, and the responsiveness of the mod
el to variations in subsidence parameters are analyzed through a sensitivit
y analysis. A probable future drought scenario is used to evaluate the effe
ct on land subsidence of three management alternatives over the next thirty
years. The model reveals that maintaining present practices virtually elim
inates unrecoverable land subsidence, but may not be a sustainable alternat
ive because of a growing urban population to the south and concern over the
ecological implications of water exportation from the north. The two other
proposed management alternatives reduce the dependency on surface water by
increasing ground water withdrawal. Land subsidence is confined to tolerab
le levels in the more moderate of these proposals, while the more aggressiv
e produces significant long-term subsidence. Finally, an optimization model
is formulated to determine maximum ground water withdrawal from nine pumpi
ng sub-basins without causing irrecoverable subsidence during the forecast
period. The optimization model reveals that withdrawal can be increased in
certain areas on the eastern side of the study area without causing signifi
cant inelastic subsidence. (C) 2001 Elsevier Science B.V. All rights reserv
ed.