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An efficient deterministic-probabilistic approach to modeling regional groundwater flow: 2. application to Owens Valley, California

Water Resources Research

By:
,
DOI: 10.1029/WR026i007p01569

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Abstract

The applicability of a deterministic-probabilistic model for predicting water tables in southern Owens Valley, California, is evaluated. The model is based on a two-layer deterministic model that is cascaded with a two-point probability model. To reduce the potentially large number of uncertain variables in the deterministic model, lumping of uncertain variables was evaluated by sensitivity analysis to reduce the total number of uncertain variables to three variables: hydraulic conductivity, storage coefficient or specific yield, and source-sink function. Results demonstrate that lumping of uncertain parameters reduces computational effort while providing sufficient precision for the case studied. Simulated spatial coefficients of variation for water table temporal position in most of the basin is small, which suggests that deterministic models can predict water tables in these areas with good precision. However, in several important areas where pumping occurs or the geology is complex, the simulated spatial coefficients of variation are over estimated by the two-point probability method.

Geospatial Extents

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
An efficient deterministic-probabilistic approach to modeling regional groundwater flow: 2. application to Owens Valley, California
Series title:
Water Resources Research
DOI:
10.1029/WR026i007p01569
Volume
26
Issue:
7
Year Published:
1990
Language:
English
Publisher:
American Geophysical Union
Publisher location:
Washington, D.C.
Contributing office(s):
Water Resources Program
Description:
13 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
1569
Last page:
1581
Country:
United States
State:
California
Other Geospatial:
Owens Valley