Groundwater Resource Sustainability: Modeling Evaluation for the Naval Air Weapons Station, China Lake, California

Abstract

This report documents the development of a calibrated transient groundwater model for the Indian Wells Valley, California, ground water basin. Under current rates, pumping exceeds basin yield by a factor of three to five. The result is a decline in groundwater levels, water quality degradation, and the possibility of land subsidence. A calibrated transient groundwater model is developed here to predict groundwater level changes in the future. A chemical transport model and subsidence model are linked to the transient flow model to provide insight into the water quality and subsidence effects of groundwater withdrawal. The report considers the long-term effects of water pumping in the Indian Wells Valley by using the model to consider future conditions as a result of current pumping rates continuing their trend into future years. Finally, results are presented of an Interferometric Synthetic Aperture Radar (InSAR) study that created 92 interferograms for the Indian Wells Valley as a means to measure surface deformation associated with ground subsidence.

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Document Details

Document Type
Technical Report
Publication Date
Sep 21, 2016
Accession Number
AD1070491

Entities

People

  • David Mcgraw
  • Greg Pohll
  • Jenny Chapman
  • Richard Jasoni
  • Rosemary Carroll
  • Steve Bacon

Organizations

  • University of Nevada, Reno

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • California
  • Chemistry
  • Climate Change
  • Coordinate Systems
  • Drainage Basins
  • Environment
  • Environmental Protection
  • Geographic Information Systems
  • Geography
  • Groundwater
  • Measurement
  • Synthetic Aperture Radar
  • Two Dimensional
  • United States
  • Water Quality
  • Water Resources
  • Water Supplies

Readers

  • Groundwater Contamination Remediation.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Radar Systems Engineering.