Intelligent performance evaluation of aquifer storage and recovery systems in freshwater aquifers

Author:

Forghani Ali,Peralta Richard C.

Funder

Utah Agricultural Experiment Station

Utah State University

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference49 articles.

1. The relative utility of regression and artificial neural networks models for rapidly predicting the capacity of water supply reservoirs;Adeloye;Environ. Modell. Software,2009

2. Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm;Aly;Water Resour. Res.,1999

3. Applied Groundwater Modeling: Simulation of Flow and Advective Transport;Anderson,2015

4. Arnett, R.C., Greenwade, L.E., 2000. Parallel processing of a groundwater contaminant code. In Conference Proceedings of Summit 2000, the 42nd Annual Cray Users Group Meeting, Noordwijk, The Netherlands, 22–26 May. http://www.inl.gov/technicalpublications/Documents/2690197.pdf.

5. A review of surrogate models and their application to groundwater modeling;Asher;Water Resour. Res.,2015

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