Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale
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.
- Research Organization:
- Univ. of Massachusetts, Amherst, MA (US)
- OSTI ID:
- 20080250
- Journal Information:
- Transactions of the ASAE, Vol. 43, Issue 2; Other Information: PBD: Mar-Apr 2000; ISSN 0001-2351
- Country of Publication:
- United States
- Language:
- English
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