Water resources sustainability: Development of a multiobjective optimization model

Daniel W. Rothman, Larry Mays

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

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
Volume140
Issue number12
DOIs
StatePublished - Dec 1 2014

Fingerprint

optimization model
Multiobjective optimization
Water resources
Sustainable development
water resource
sustainability
water
resources
water management
conservation
Water supply
genetic algorithm
Groundwater
Conservation
costs
water supply
Genetic algorithms
management
Values
groundwater

Keywords

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

ASJC Scopus subject areas

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

Cite this

Water resources sustainability : Development of a multiobjective optimization model. / Rothman, Daniel W.; Mays, Larry.

In: Journal of Water Resources Planning and Management, Vol. 140, No. 12, 04014039, 01.12.2014.

Research output: Contribution to journalArticle

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