CONFLICT BETWEEN WATER SUPPLY AND ENVIRONMENTAL HEALTH RISK: A COMPUTATIONAL NEURAL NETWORK APPROACH

Emery Coppola () and Ferenc Szidarovszky ()
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Emery Coppola: NOAH LLC, 610 Lawrence Road, Lawrenceville, New Jersey, 08648, USA
Ferenc Szidarovszky: Department of Systems and Industrial Engineering, University of Arizona, Tucson, Arizona 85721-0020, USA

International Game Theory Review (IGTR), 2004, vol. 06, issue 04, 475-492

Abstract: A two-person conflict is analyzed, where a water company and a community are the players and water supply and health risk constitute the payoff functions. An aquifer's response to different pumping policies is estimated at points of interest by a computational neural network, which was trained using simulation data from MODFLOW, a large-scale complicated finite difference model. Using the weighting method, the Pareto frontier is first determined, and four particular resolution methodologies are applied. The numerical results are analyzed and compared.

Keywords: Conflict resolution; neural networks; water supply; health risk (search for similar items in EconPapers)
JEL-codes: B4 C0 C6 C7 D5 D7 M2 (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219198904000319

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