Next-Generation Techniques for Parameter Reduction for BMP Multiobjective Optimization in Watershed Planning

doi:10.1016/j.envsoft.2025.106651

2025-08-14

PRE

Hoda Razavi

Gregorio Toscano‐Pulido

A. Pouyan Nejadhashemi *

Kalyanmoy Deb

Lewis C. Linker

DOI：10.1016/j.envsoft.2025.106651

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摘要

En 中文

• 本研究优化了西弗吉尼亚州流域的BMP选择。 • 采用了两种BMP排名方法——基于土地利用的和基于聚类的。 • 该方法提高了区域应用中流域优化的效率。

Keyword:

BMP selection

watershed optimization

Land Use-based method

Cluster-based method

regional applications

期刊

Environmental Modelling and Software

IF:

4.6

论文数:

511

被引数:

1.8W

机构

chesapeake bay program office, environmental protection agency

学者数:

论文数: 1

被引数: 0

michigan state university

学者数:

3.6W

论文数: 3.2W

被引数: 44

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