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![](https://webarchive.library.unt.edu/eot2008/20090116020835im_/http://www.ars.usda.gov/incme/images/Research_head.gif) |
Research Project:
Integrating Model Abstraction into Monitoring Strategies
Location: Environmental Microbial and Food Safety Laboratory
Project Number: 1265-12630-003-08
Project Type:
Reimbursable
Start Date: Oct 01, 2008
End Date: Sep 30, 2011
Objective:
The objective of this research effort is to develop a strategy for incorporating model abstraction techniques into ground-water monitoring and performance assessment programs. The enhanced abstraction strategies and models shall be tested using site-specific databases for specified contaminant sources introduced and monitored in shallow subsurface environments.
Approach:
Analyze the OPE3 tracer experiment using highly-realistic model(s) and subsets of those model(s) with varying degrees of abstraction to simulate a range of model outcomes for comparison to the detailed monitoring datasets; conduct sensitivity analyses on various parameters which were monitored to determine the impact each has on the overall model; use the spatio-temporal geo-statistics and genetic algorithms to optimize the locations and types of sensors as required by different conceptual models; use the models abstraction to develop a screening approach for determining the appropriate model abstraction techniques for modeling a specific site.
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Last Modified: 01/14/2009
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