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Title:
Time-Dependent Riverbed Clogging and its Impact on Groundwater Pumping
Authors:
Zhang, Y.; Finsterle, S.; Gasperikova, E.; Hubbard, S.
Affiliation:
AA(Earth Sciences Division Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, ; ), AB(Earth Sciences Division Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, ; ), AC(Earth Sciences Division Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, ; ), AD(Earth Sciences Division Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, ; )
Publication:
American Geophysical Union, Fall Meeting 2008, abstract #H53C-1072
Publication Date:
12/2008
Origin:
AGU
AGU Keywords:
1829 Groundwater hydrology, 1830 Groundwater/surface water interaction, 1846 Model calibration (3333), 1861 Sedimentation (4863), 1880 Water management (6334)
Abstract Copyright:
(c) 2008: American Geophysical Union
Bibliographic Code:
2008AGUFM.H53C1072Z

Abstract

A numerical study has 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, where a riverbank filtration system is managed by the Sonoma County Water Agency. Results indicate that seasonal riverbed clogging may be responsible for the low riverbed permeability, the main limiting factor for recharge. Riverbed clogging is attributed to physical clogging (e.g., sediment deposition), biological clogging (e.g., forming of biofilm) and geochemical clogging (e.g., mineral precipitation) associated with the seasonal operation of an inflatable dam which reduces surface water velocity and increases temperature upstream of the dam. The reduced riverbed permeability can cause the development of an unsaturated zone beneath the riverbed near riverbank filtration facilities, which in turn causes further clogging of the riverbed. Previous studies have demonstrated that the permeability can vary substantially with time at a particular location; this change needs to be considered in the numerical modeling. Due to limited data at the site, a precise simulation of the riverbed clogging is not possible. However, a time-dependent permeability can be calibrated based on knowledge of pumping rate, river stage, temperature, and the saturation beneath the river. Loose coupling between hydrogeological and geophysical (SP) processes and data will be used to calibrate the model and to better understand clogging mechanisms.
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