H53G-1755
Empirical estimation of groundwater quality changes using remote sensing
Friday, 18 December 2015
Poster Hall (Moscone South)
Aimee Gibbons1, Brian F Thomas2 and James S Famiglietti1, (1)University of California Irvine, Irvine, CA, United States, (2)California Institute of Technology, Pasadena, CA, United States
Abstract:
Recent groundwater availability studies estimate large-scale aquifer depletion rates and aquifer stress using monthly water storage variations from NASA’s Gravity Recovery and Climate Experiment (GRACE) mission. To further evaluate available groundwater resources, assessing potability of groundwater is necessary. Statistical relationships are initially developed at individual well locations to discern our ability to predict groundwater geochemistry as a function of groundwater levels. Next, up-scaled multivariate relationships to estimate total dissolved solid (TDS) concentrations as a function of GRACE-derived subsurface storage anomalies, dominant land use, and other physical parameters are developed in two important aquifer systems in the United States: the High Plains aquifer and the Central Valley aquifer. A goodness of fit test was performed to evaluate model strength. Results demonstrate the potential to characterize global groundwater potability variations using remote sensing.