Optimization of best management practices to reduce Phosphorus runoff in the Grand River watershed using a multi-objective optimization algorithm
Section 1: Publication
Publication Type
Thesis
Authorship
Ji, X.
Title
Optimization of best management practices to reduce Phosphorus runoff in the Grand River watershed using a multi-objective optimization algorithm
Year
2022
Publication Outlet
UWSpace
DOI
ISBN
ISSN
Citation
Ji, X. (2022) Optimization of best management practices to reduce Phosphorus runoff in the Grand River watershed using a multi-objective optimization algorithm. UWSpace.
http://hdl.handle.net/10012/18391
Abstract
As water quality issues become an increasingly global concern, public administrators are looking for new ways to reduce water pollution from different sources, including agricultural runoff. Best management practices are agri-environmental activities, which aim to decrease the impact of agricultural activities on the environment as compared to conventional management practices. However, the selection of best management practices distribution is not without challenges and therefore an optimization model is introduced here to support policy and decision-making and minimize nutrients load with the limited available resources. Therefore, this research sets out a multi-objective optimization model to optimize phosphorus reductions in the Grand River watershed and conduct an economic analysis of best management practices and assess their cost-effectiveness.
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