Water resources sustainability: Development of a multiobjective optimization model

Daniel W. Rothman, Larry Mays

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


This research investigates the application of multiobjective optimization (MO) modeling to the issue of water resources sustainability, from a water supply standpoint, with specific application to the Prescott Active Management Area (AMA) in Arizona. One unique aspect of the investigation is the development of a method to quantify the nonuse value of groundwater for use in a quantitative optimization model. Another is the incorporation within the model of objectives that include the typically conflicting goals of growth, conservation, and cost minimization. The model is solved using a multiobjective genetic algorithm.

Original languageEnglish (US)
Article number04014039
JournalJournal of Water Resources Planning and Management
Issue number12
StatePublished - Dec 1 2014


  • Economics of exhaustible resources
  • Genetic algorithms
  • Groundwater valuation
  • Multiobjective optimization
  • Optimization
  • Water resources sustainability

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Water Science and Technology
  • Management, Monitoring, Policy and Law


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