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A Multi-Criteria Decision Support Tool for Identification of Cost-Effective Agricultural Best Management Practices
Authors: Taimoor Akhtar, Narayan Kumar Shrestha, Prasad Daggupati
Identifier: CSBE21527
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » World Congress on Computers in Agriculture and Natural Resources
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Description: Sustainable management of agriculture-intensive watersheds is a challenging problem that has short-term and long-term trade-offs between economic costs (e.g., costs associated with nutrient management, Best Management Practices (BMPs) etc.) and environmental benefits (e.g. phosphorus load reduction). These trade-offs can be visualized and analyzed by combining multi-criteria optimization algorithms and watershed simulation models into integrated decision support tools. This study couples the SWAT (Soil and Water Assessment Tool) watershed model with a novel Multi-Criteria Optimization framework, to assist decision makers in identifying cost-effective BMP application locations within a watershed. The coupled decision support tool is applied to watersheds in Ontario. Results show that our decision support tool can assist decision makers in identifying cost-optimal BMP application locations, to achieve pre-defined phosphorus load reduction targets.
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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: World Congress on Computers in Agriculture and Natural Resources (WCCA 1)
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Type: Text.Abstract
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Publication type: Presentation
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Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
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DOI:
Description: Sustainable management of agriculture-intensive watersheds is a challenging problem that has short-term and long-term trade-offs between economic costs (e.g., costs associated with nutrient management, Best Management Practices (BMPs) etc.) and environmental benefits (e.g. phosphorus load reduction). These trade-offs can be visualized and analyzed by combining multi-criteria optimization algorithms and watershed simulation models into integrated decision support tools. This study couples the SWAT (Soil and Water Assessment Tool) watershed model with a novel Multi-Criteria Optimization framework, to assist decision makers in identifying cost-effective BMP application locations within a watershed. The coupled decision support tool is applied to watersheds in Ontario. Results show that our decision support tool can assist decision makers in identifying cost-optimal BMP application locations, to achieve pre-defined phosphorus load reduction targets.
Keywords:
Résumé:
Mots-clés:
Citation:
Volume:
Issue:
Pages -
Contributor:
Date: 2021-06-11
Technical field:
Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: World Congress on Computers in Agriculture and Natural Resources (WCCA 1)
Other information:
Type: Text.Abstract
Format:
Publication type: Presentation
Source:
Relation:
Coverage: Canada
Language 1: en
Language 2:
Rights: Canadian Society for Bioengineering
Notes:
Other files:
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