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Contaminated groundwater remediation design using simulation, optimization, and sensitivity theory: 2. Analysis of a field site
Author(s) -
Ahlfeld David P.,
Mulvey John M.,
Pinder George F.
Publication year - 1988
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr024i003p00443
Subject(s) - environmental remediation , sensitivity (control systems) , field (mathematics) , groundwater , groundwater remediation , nonlinear system , scale (ratio) , aquifer , environmental science , optimal design , computer science , mathematical optimization , engineering , contamination , mathematics , geotechnical engineering , physics , quantum mechanics , machine learning , ecology , electronic engineering , pure mathematics , biology
An optimization approach to designing contaminated groundwater aquifer remediation systems is described and used to analyze alternate hypothetical remediation strategies at a Superfund site in Woburn, Massachusetts. The methodology combines two‐dimensional convective‐dispersive transport simulation, nonlinear optimization, and sensitivity theory. Remediation strategies are generated based on different design criteria as represented by two alternate optimization formulations. It is demonstrated that field scale simulation models can be successfully incorporated into a nonlinear optimization framework to solve important design problems. Through the use of sensitivity theory for the transport simulation model it is possible to solve field scale problems with at least an order of magnitude less computational effort than when using perturbation methods.