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Multiobjective Models for Determining Freshwater Inflows to Bays and Estuaries

by Ning Mao, Arizona State Univ, Tempe, AZ, USA,
Lise LeBlanc, Arizona State Univ, Tempe, AZ, USA,
James Siebert, Arizona State Univ, Tempe, AZ, USA,
Wenchin Shi, Arizona State Univ, Tempe, AZ, USA,
Larry W. Mays, (M.ASCE), Arizona State Univ, Tempe, AZ, USA,



Document Type: Proceeding Paper

Part of: Water Policy and Management: Solving the Problems

Abstract:

This paper presents four multiobjective models for the estuary management problem, including goal programming, the epsilon constraint method, the surrogate worth tradeoff method and the utility function methods. The multiobjectives are the maximization of commercial fish harvest for five fish species and the minimization of freshwater inflow. Salinity is expressed as a function of freshwater inflow through nonlinear regression equations which are used as constraints. Fish harvests as nonlinear functions of the quantity of freshwater inflow. The multiobjective models are nonlinear programming problems solved by using the GAMS/MINOS programming code. Because of the uncertainty associated with the regression equations for salinity and harvest, the model formulations are extended to chance-constrained formulations. The chance-constrained multiobjective models are solved by using the GRG2 programming code. The multiobjective models are applied to the Lavaca-Tres Palacios Estuary in Texas.

Subject Headings: Computer programming | Inflow | Fresh water | Estuaries | Regression analysis | Management methods | Computer models | Texas | United States

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