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GroMoPo Metadata for Fernley (NV) probabilistic model


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Created: Feb 08, 2023 at 4:28 p.m.
Last updated: Feb 08, 2023 at 4:28 p.m.
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Abstract

Groundwater models provide an efficient means to evaluate the sustainability of new groundwater production wells. An important component of any groundwater modeling analysis is the quantification of the prediction uncertainty. This analysis incorporates uncertainty analysis techniques within the groundwater modeling environment to predict regions within a groundwater basin that have a low probability of excessive drawdown and groundwater contamination. The analysis focuses on the quantification of a basin-wide water-balance, generation of a spatial distribution of lithology, locating a nearby total dissolved solids (TDS) plume, and construction of an accurate groundwater flow model. Thousands of Monte Carlo realizations are simulated to determine the most probable parameter sets based on an objective function that minimizes the error between simulated and observed hydraulic head. Only those simulations with small error are used in a subsequent analysis to investigate 77 potential well locations near the city of Fernley, in northern Nevada. The final result is a map depicting the probability that a production well has either excessive drawdown and/or encroachment of the TDSs plume. (c) 2004 Elsevier B.V. All rights reserved.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
United States
North Latitude
39.8430°
East Longitude
-119.0775°
South Latitude
39.5631°
West Longitude
-119.4423°

Content

Additional Metadata

Name Value
DOI 10.1016/j.jhydrol.2004.07.016
Depth
Scale 1 001 - 10 000 km²
Layers 12
Purpose Groundwater resources;Groundwater contamination
GroMoPo_ID 353
IsVerified True
Model Code MODFLOW
Model Link https://doi.org/10.1016/j.jhydrol.2004.07.016
Model Time SS
Model Year 2005
Model Authors Stevick, E; Pohll, G; Huntington, J
Model Country United States
Data Available Report/paper only
Developer Email greg.pohll@dri.edu
Dominant Geology Unconsolidated sediments
Developer Country USA
Publication Title Locating new production wells using a probabilistic-based groundwater model
Original Developer No
Additional Information
Integration or Coupling Solute transport
Evaluation or Calibration Static water levels;Contaminant concentrations
Geologic Data Availability No

How to Cite

GroMoPo, K. Compare (2023). GroMoPo Metadata for Fernley (NV) probabilistic model, HydroShare, http://www.hydroshare.org/resource/ba6d0b7a28d54ce48143f3aab0240e94

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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