Multi-Objective Optimization for Selecting and Siting the Cost-Effective BMPs by Coupling Revised GWLF Model and NSGAII Algorithm

Multi-Objective Optimization for Selecting and Siting the Cost-Effective BMPs by Coupling Revised GWLF Model and NSGAII Algorithm

Best management practices (BMPs) are an effective way to control water pollution. However, identification of the optimal distribution and cost-effect of BMPs provides a great challenge for watershed policy makers. In this paper, a semi-distributed, low-data, and robust watershed model, the Revised G...

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Bibliographic Details
Main Authors: Zuoda Qi, Gelin Kang, Xiaojin Wu, Yuting Sun, Yuqiu Wang
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Water
Subjects:
bmps
revised gwlf
optimization
nsgaii
water quality
Online Access:https://www.mdpi.com/2073-4441/12/1/235

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