文献类型： 外文期刊
作者： Fan, Jie 1 ; Liu, Baoyin 2 ; Lei, Tianjie 4 ; Sun, Yong 6 ; Ma, Yunjia 7 ; Guo, Rui 2 ; Chen, Dong 1 ; Zhou, Kan 1 ; Li, Sisi 1 ; Gao, Xiang 1 ;
作者机构： 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Sci & Dev, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
4.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing, Peoples R China
5.MARA, Natl Engn Lab Efficient Crop Water Use & Disaster, Key Lab Agr Environm, Beijing, Peoples R China
6.Guangzhou Univ, Sch Publ Adm, Guangzhou, Peoples R China
7.Qufu Normal Univ, Sch Geog & Tourism, Rizhao, Peoples R China
期刊名称：NATURE COMMUNICATIONS （ 影响因子：15.7； 五年影响因子：17.2 ）
ISSN：
年卷期： 2025 年 16 卷 1 期
页码：
收录情况： SCI
摘要： In recent years, measures proposed to address urban flooding caused by extreme rainfall often demand substantial investment, restricting their broad implementation. This study quantitatively assessed the inundation situations of 138 capital cities under both normal and extreme rainfall conditions. Using machine learning techniques, we found that grey infrastructure-closely commensurate with a city's economic development-dominates flood reduction during normal rainfall events. However, during extreme precipitation, as rainfall intensity rises, the marginal effectiveness of grey infrastructure declines markedly. In contrast, green infrastructure and topography-less commensurate with economic development-play increasingly critical roles in mitigating urban flooding. These findings suggest that economic development has a limited impact on urban flooding during extreme rainfall events. Rationally utilizing topography and enhancing green spaces provides a cost-effective nature-based solution, which is particularly important for urban planning in low- and middle-income countries undergoing rapid urbanization.
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