Optimal design of aquifer clean up systems under uncertainty using a neural network and a genetic algorithm

Authors

Alaa H. Aly
Richard C. Peralta, Utah State UniversityFollow

Document Type

Article

Journal/Book Title/Conference

Water Resources Research

Volume

35

Issue

8

Publisher

American Geophysical Union

Publication Date

8-1999

First Page

2523

Last Page

2532

Abstract

We present a methodology to account for the stochastic nature of hydraulic conductivity during the design of pump-and-treat systems for aquifer cleanup. The methodology (1) uses a genetic algorithm to find the global optimal solution and (2) incorporates a neural network to model the response surface within the genetic algorithm. We apply the methodology for a real example and different optimization scenarios. The employed optimization formulation requires few hydraulic conductivity realizations. The presented approach produces a trade-off curve between reliability and treatment facility size .

Recommended Citation

Aly, A.H. and R.C. Peralta. 1999. Optimal design of aquifer clean up systems under uncertainty using a neural network and a genetic algorithm. Water Resources Research, 35(8):2523-2532.