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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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An integrated simulation-optimization approach for combined allocation of water quantity and quality under multiple

Yaping Huang1, Yanpeng Cai1, Chao Dai2

  • 1Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Research Centre of Ecology & Environment for Coastal Area and Deep Sea, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.

Journal of Environmental Management
|June 7, 2024
PubMed
Summary

This study introduces an integrated simulation-optimization modeling approach (ISMA) to manage river basin water quantity and quality (WQQ) under uncertainty. ISMA effectively balances water resource allocation, improves water quality, and enhances socio-economic development by quantifying risks.

Keywords:
Climate changeLeft-hand-side chance-constrained programmingSimulation-optimization modelUncertainty analysisWASPWater quantity-quality

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