The relationship of surface deformation to groundwater storage and quality in the San Joaquin Valley, California

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Abstract/Contents

Abstract
Land subsidence due to groundwater pumping in the San Joaquin Valley of California is known to cause many negative side effects, including a loss of groundwater storage. The general theory behind surface deformation, which includes subsidence and rebound, due to changes in the groundwater system, is well established. Surface deformation occurs as a direct result of changes in water level in an aquifer system, and can be permanent or recoverable, depending on the stress history of the aquifer system. An advanced satellite method known as Interferometric Synthetic Aperture Radar (InSAR) can be used to measure surface deformation with ~cm accuracy, at a resolution of ~100 m and measurements every 10 to 40 days. In spite of our ability to measure surface deformation with this method, and the existing theory describing the relation of deformation to changes in water level, it remains challenging to relate this deformation to changes in the aquifer system because so much information is required to do so accurately. The goal of this thesis is to develop methods to improve our ability to monitor and model groundwater storage and quality by incorporating InSAR with geological, geophysical and water quality datasets. This includes developing methods that estimate how much observed deformation is permanent, methods that predict deformation given water level changes, and methods that relate deformation to arsenic contamination. By integrating multiple datasets with InSAR, we are able to extract more useful hydrogeological information that provides water managers with tools to map and model deformation due to changes in the groundwater system, as well as its impacts on groundwater storage and quality. Our key findings are that 1) in the San Joaquin Valley, 54-98% of the subsidence that occurred from 2007-2010 throughout our study area was permanent, 2) by combining InSAR data with airborne electromagnetic (AEM) data, we are able to model surface deformation over time and improve estimates of the subsurface hydrostratigraphy, as well as hydrologic, geomechanical and rock physics parameters, 3) our modeling indicates that the land has subsided by as much as 3 m since 1990 in one specific location within our study area, and 4) land subsidence resulting from overpumping is linked to arsenic contamination in the San Joaquin Valley aquifer system.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2018; ©2018
Publication date 2018; 2018
Issuance monographic
Language English

Creators/Contributors

Author Smith, Ryan Glen
Degree supervisor Knight, Rosemary (Rosemary Jane), 1953-
Thesis advisor Knight, Rosemary (Rosemary Jane), 1953-
Thesis advisor Fendorf, Scott
Thesis advisor Zebker, Howard A
Degree committee member Fendorf, Scott
Degree committee member Zebker, Howard A
Associated with Stanford University, Department of Geophysics.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Ryan Glen Smith.
Note Submitted to the Department of Geophysics.
Thesis Thesis Ph.D. Stanford University 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Ryan Glen Smith
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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