Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale
Abstract
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.
- Authors:
- Publication Date:
- Research Org.:
- Univ. of Massachusetts, Amherst, MA (US)
- OSTI Identifier:
- 20080250
- Resource Type:
- Journal Article
- Journal Name:
- Transactions of the ASAE
- Additional Journal Information:
- Journal Volume: 43; Journal Issue: 2; Other Information: PBD: Mar-Apr 2000; Journal ID: ISSN 0001-2351
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; WATERSHEDS; MATHEMATICAL MODELS; MULTI-PARAMETER ANALYSIS; WATER QUALITY
Citation Formats
Randhir, T O, Lee, J G, and Engel, B. Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale. United States: N. p., 2000.
Web. doi:10.13031/2013.2704.
Randhir, T O, Lee, J G, & Engel, B. Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale. United States. https://doi.org/10.13031/2013.2704
Randhir, T O, Lee, J G, and Engel, B. 2000.
"Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale". United States. https://doi.org/10.13031/2013.2704.
@article{osti_20080250,
title = {Multiple criteria dynamic spatial optimization to manage water quality on a watershed scale},
author = {Randhir, T O and Lee, J G and Engel, B},
abstractNote = {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.},
doi = {10.13031/2013.2704},
url = {https://www.osti.gov/biblio/20080250},
journal = {Transactions of the ASAE},
issn = {0001-2351},
number = 2,
volume = 43,
place = {United States},
year = {Sat Apr 01 00:00:00 EST 2000},
month = {Sat Apr 01 00:00:00 EST 2000}
}