Urban waterlogging susceptibility assessment based on hybrid ensemble machine learning models: A case study in the metropolitan area in Beijing, China

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DOI:10.1016/j.jhydrol.2024.130695
作者：Mingqi Yan ,?Jiarui Yang ,?Xiaoyong Ni ,?Kai Liu ,?Yijia Wang ,?Fang Xu
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Urban waterlogging has emerged as a significant problem worldwide, particularly in densely populated cities. Accurate assessment of waterlogging susceptibility at the city scale is crucial f

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