Multiobjective analysis of a public wellfield using artificial neural networks

Emery A. Coppola, Ferenc Szidarovszky, Donald Davis, Steven Spayd, Mary M Poulton, Eric Roman

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

As competition for increasingly scarce ground water resources grows, many decision makers may come to rely upon rigorous multiobjective techniques to help identify appropriate and defensible policies, particularly when disparate stakeholder groups are involved. In this study, decision analysis was conducted on a public water supply wellfield to balance water supply needs with well vulnerability to contamination from a nearby ground water contaminant plume. With few alternative water sources, decision makers must balance the conflicting objectives of maximizing water supply volume from noncontaminated wells while minimizing their vulnerability to contamination from the plume. Artificial neural networks (ANNs) were developed with simulation data from a numerical ground water flow model developed for the study area. The ANN-derived state transition equations were embedded into a multiobjective optimization model, from which the Pareto frontier or trade-off curve between water supply and wellfield vulnerability was identified. Relative preference values and power factors were assigned to the three stakeholders, namely the company whose waste contaminated the aquifer, the community supplied by the wells, and the water utility company that owns and operates the wells. A compromise pumping policy that effectively balances the two conflicting objectives in accordance with the preferences of the three stakeholder groups was then identified using various distance-based methods.

Original languageEnglish (US)
Pages (from-to)53-61
Number of pages9
JournalGround Water
Volume45
Issue number1
DOIs
StatePublished - Jan 2007

Fingerprint

Water supply
artificial neural network
water supply
Neural networks
vulnerability
stakeholder
well
Contamination
plume
Groundwater resources
decision analysis
Groundwater flow
Decision theory
groundwater resource
Multiobjective optimization
Aquifers
trade-off
groundwater flow
Water
Groundwater

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Water Science and Technology

Cite this

Multiobjective analysis of a public wellfield using artificial neural networks. / Coppola, Emery A.; Szidarovszky, Ferenc; Davis, Donald; Spayd, Steven; Poulton, Mary M; Roman, Eric.

In: Ground Water, Vol. 45, No. 1, 01.2007, p. 53-61.

Research output: Contribution to journalArticle

Coppola, Emery A. ; Szidarovszky, Ferenc ; Davis, Donald ; Spayd, Steven ; Poulton, Mary M ; Roman, Eric. / Multiobjective analysis of a public wellfield using artificial neural networks. In: Ground Water. 2007 ; Vol. 45, No. 1. pp. 53-61.
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