Goal programming models for determining freshwater inflows to estuaries

Ning Mao, Larry Mays

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

This paper presents two multiobjective models for the estuary-management problem based upon goal-programming procedures. The multiobjectives are the minimization of freshwater inflow into bays and estuaries and the maximization of commercial-fish harvest for five fish species. Salinity is expressed as a function of freshwater inflow in a nonlinear-regression equation, which is used as a constraint. Additional nonlinear constraints are the harvest-regression equations for the various species that express harvest as a function of the quantity of freshwater inflow. The goal programming model is a nonlinear-programming problem solved by using the general algebraic modeling system/modular in-core non-linear optimization system (GAMS/MINOS) programming code. Because of the uncertainty associated with the regression equations for salinity and harvest, a second formulation was developed in which the constraints are expressed in a chance-constrained formulation. The chance-constrained goal-programming model is solved by using the GRG2 programming code. The models for both formulations are applied to the Lavaca-Tres Palacios Estuary in Texas.

Original languageEnglish (US)
Pages (from-to)316-329
Number of pages14
JournalJournal of Water Resources Planning and Management
Volume120
Issue number3
DOIs
StatePublished - May 1994

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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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