1994Journal of Water Resources Planning and ManagementRequires access

Freshwater‐Inflow Need of Estuary Computed by Texas Estuarine MP Model

Junji Matsumoto, Gary L. Powell, David A. Brock

Open publisher page 13 citations

Abstract

The Texas Estuarine Mathematical Programming (TxEMP) model was developed as a tool to study the effect of freshwater inflow to the bays and estuaries in Texas and to help establish longterm objectives of maintaining and enhancing an ecologically healthy environment for the estuaries. The model is a nonlinear, stochastic, multiobjective mathematical programming model. It represents needs of the biological system through the use of salinity‐inflow regression equations and fishery‐harvest‐inflow regression equations. If quantitative information is available, nutrient and sediment requirements can be taken into account. Hydrological information is incorporated as the monthly lower bounds and upper bounds on inflows. Salinity constraints and fishery harvest constraints are treated as chance constraints. The objective function can be inflow minimization or maximization, fishery‐harvest maximization or minimization, maximization of satisfying the salinity constraint, or satisfying the fishery‐harvest constraint. A multiobjective approach is taken to resolving the estuarine management problem by presenting results as a performance curve that contains a series of solutions ranging from a minimum required inflow, maximum harvest solutions, and a maximum allowable inflow. This paper presents mathematical details of the TxEMP model and an actual application to determine the release policy from the upstream reservoirs to the Nueces Estuary.

About this research paper

What this paper is about

The Texas Estuarine Mathematical Programming (TxEMP) model was developed as a tool to study the effect of freshwater inflow to the bays and estuaries in Texas and to help establish longterm objectives of maintaining and enhancing an ecologically healthy environment for the estuaries. The model is a nonlinear, stochastic, multiobjective mathematical programming model. It represents needs of the biological system through the use of salinity‐inflow regression equations and fishery‐harvest‐inflow regression equations. If quantitative information is available, nutrient and sediment requirements can be taken into account. Hydrological information is incorporated as the monthly lower bounds and upper bounds on inflows. Salinity constraints and fishery harvest constraints are treated as chance constraints. The objective function can be inflow minimization or maximization, fishery‐harvest maximization or minimization, maximization of satisfying the salinity constraint, or satisfying the fishery‐harvest constraint. A multiobjective approach is taken to resolving the estuarine management problem by presenting results as a performance curve that contains a series of solutions ranging from a minimum required inflow, maximum harvest solutions, and a maximum allowable inflow. This paper presents mathematical details of the TxEMP model and an actual application to determine the release policy from the upstream reservoirs to the Nueces Estuary.

Why it matters

OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The Texas Estuarine Mathematical Programming (TxEMP) model was developed as a tool to study the effect of freshwater inflow to the bays and estuaries in Texas and to help establish longterm objectives of maintaining and enhancing an ecologically healthy environment for the estuaries. The model is a nonlinear, stochastic, multiobjective mathematical programming model. It represents needs of the biological system through the use of salinity‐inflow regression equations and fishery‐harvest‐inflow regression equations. If quantitative information is available, nutrient and sediment requirements can be taken into account. Hydrological information is incorporated as the monthly lower bounds and upper bounds on inflows. Salinity constraints and fishery harvest constraints are treated as chance constraints. The objective function can be inflow minimization or maximization, fishery‐harvest maximization or minimization, maximization of satisfying the salinity constraint, or satisfying the fishery‐harvest constraint. A multiobjective approach is taken to resolving the estuarine management problem by presenting results as a performance curve that contains a series of solutions ranging from a minimum required inflow, maximum harvest solutions, and a maximum allowable inflow. This paper presents mathematical details of the TxEMP model and an actual application to determine the release policy from the upstream reservoirs to the Nueces Estuary.

Key concepts: Inflow, Freshwater inflow, Estuary, Maximization, Constraint (computer-aided design), Environmental science, Hydrology (agriculture), Salinity

Related papers

Back to paper searchBrowse research topicsOriginal source
Freshwater‐Inflow Need of Estuary Computed by Texas Estuarine MP Model — Research Paper | ScholarLens