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Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale

Randhir, T.O. / Lee, J.G. / Engel, B.

This article develops a dynamic spatial optimization algorithm for watershed modeling that reduces dimensionality and incorporates multiple objectives. Spatial optimization methods, which include spatially linear and nonlinear formulations, are applied to an experimental watershed and tested against a full enumeration frontier. The integrated algorithm includes biophysical simulation and economic decision-making within a geographic information system. It was observed that it is possible to achieve economic and water quality objectives in a watershed by spatially optimizing site-specific practices. It was observed that a spatially diversified watershed plan could achieve multiple goals in a watershed. The algorithm can be used to develop efficient policies towards environmental management of watersheds to address water quality issues by identifying optimal tradeoffs across objectives.

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Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale

Randhir, T.O. / Lee, J.G. / Engel, B.

This article develops a dynamic spatial optimization algorithm for watershed modeling that reduces dimensionality and incorporates multiple objectives. Spatial optimization methods, which include spatially linear and nonlinear formulations, are applied to an experimental watershed and tested against a full enumeration frontier. The integrated algorithm includes biophysical simulation and economic decision-making within a geographic information system. It was observed that it is possible to achieve economic and water quality objectives in a watershed by spatially optimizing site-specific practices. It was observed that a spatially diversified watershed plan could achieve multiple goals in a watershed. The algorithm can be used to develop efficient policies towards environmental management of watersheds to address water quality issues by identifying optimal tradeoffs across objectives.

Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale

Randhir, T.O. / Lee, J.G. / Engel, B.

This article develops a dynamic spatial optimization algorithm for watershed modeling that reduces dimensionality and incorporates multiple objectives. Spatial optimization methods, which include spatially linear and nonlinear formulations, are applied to an experimental watershed and tested against a full enumeration frontier. The integrated algorithm includes biophysical simulation and economic decision-making within a geographic information system. It was observed that it is possible to achieve economic and water quality objectives in a watershed by spatially optimizing site-specific practices. It was observed that a spatially diversified watershed plan could achieve multiple goals in a watershed. The algorithm can be used to develop efficient policies towards environmental management of watersheds to address water quality issues by identifying optimal tradeoffs across objectives.

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Title:

Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale

Contributors:

Randhir, T.O. (author) / Lee, J.G. (author) / Engel, B. (author)

Published in:

Transactions of the ASAE ; 43 ; 291-299

Publication date:

2000

Size:

9 Seiten, 18 Quellen

ISSN:

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

mathematisches Modell , Rechnersimulation , Entscheidungsfindung , Informationssystem , Verschmutzung , geographisches Informationssystem

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