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Title:
Using Self Potential and Multiphase Flow Modeling to Optimize Groundwater Pumping
Authors:
Gasperikova, E.; Zhang, Y.; Hubbard, S.
Affiliation:
AA(Lawrence Berkeley National Laboratory, One Cyclotron Road ; ), AB(Lawrence Berkeley National Laboratory, One Cyclotron Road ; ), AC(Lawrence Berkeley National Laboratory, One Cyclotron Road ; )
Publication:
American Geophysical Union, Fall Meeting 2008, abstract #H42D-02
Publication Date:
12/2008
Origin:
AGU
AGU Keywords:
0903 Computational methods: potential fields (1214), 0994 Instruments and techniques, 1829 Groundwater hydrology, 1835 Hydrogeophysics, 1846 Model calibration (3333)
Abstract Copyright:
(c) 2008: American Geophysical Union
Bibliographic Code:
2008AGUFM.H42D..02G

Abstract

Numerical and field hydrological and geophysical studies have been conducted to investigate the impact of groundwater pumping on near-river hydrology for a segment of the Russian River at the Wohler Site, California, which is a riverbed filtration system managed by the Sonoma County Water Agency. Groundwater pumping near streams can cause a creation of unsaturated regions and hence reduce the pumping capacity and change the flow paths. A three-dimensional multiphase flow and transport model can be calibrated to the temperature, and water levels at monitoring wells based on known pumping rates, and the river stage. Streaming (self) potential (SP) is one of the electrokinetic processes that describes the coupled behavior of hydraulic and electrical flow within a porous medium, and is easily measured on the surface or in boreholes. Observing temporal and spatial variations in geophysical signatures provides a powerful approach for monitoring changes in the natural systems due to natural or forced (pumping) system perturbations. Geophysical and hydrological data were collected before, during and after a pumping experiment at the Wohler Site. Using this monitoring dataset, we illustrate how loose coupling between hydrogeological and geophysical (SP) processes and data can be used to calibrate the flow model and to optimize pumping schedules as needed to guide sustainable water resource development.
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