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Regression Approximations for Transport Model Constraint Sets in Combined Aquifer Simulation‐Optimization Studies
Author(s) -
Alley William M.
Publication year - 1986
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/wr022i004p00581
Subject(s) - mathematical optimization , constraint (computer aided design) , groundwater recharge , aquifer , nonlinear regression , nonlinear system , function (biology) , regression , computer science , minification , regression analysis , mathematics , engineering , groundwater , geotechnical engineering , statistics , physics , geometry , quantum mechanics , machine learning , evolutionary biology , biology
Problems involving the combined use of contaminant transport models and nonlinear optimization schemes can be very expensive to solve. This paper explores the use of transport models with ordinary regression and regression on ranks to develop approximate response functions of concentrations at critical locations as a function of pumping and recharge at decision wells. These response functions combined with other constraints can often be solved very easily and may suggest reasonable starting points for combined simulation‐management modeling or even relatively efficient operating schemes in themselves.