| DOI: | 10.1007/s11069-020-04056-y
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| 论文题名: | Comprehensive evaluation of urban flood-bearing risks based on combined compound fuzzy matter-element and entropy weight model |
| 作者: | Lv H.; Guan X.; Meng Y.
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| 刊名: | Natural Hazards
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| ISSN: | 0921030X
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| 出版年: | 2020
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| 卷: | 103, 期:2 | | 起始页码: | 1823
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| 结束页码: | 1841
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| 语种: | 英语
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| 中文关键词: | Comprehensive risk
; Disaster prevention and mitigation capacity
; Sponge city
; Urbanization process
; Vulnerability of urban flood-bearing
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| 英文关键词: | climate change
; disaster management
; flood control
; modeling
; risk assessment
; urban area
; urbanization
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| 英文摘要: | The extreme precipitation events caused by climate change and the rapid development of urbanization have brought hidden flood risks to the cities. This paper comprehensively considered two major factors of vulnerability of urban flood-bearing and disaster prevention and mitigation (DPAM) capacity and built a comprehensive evaluation index system for urban flood-bearing risks. Secondly, a combined model consisted of composite fuzzy matter-element and entropy weight model was constructed to calculate the comprehensive risk indicator. Finally, the Zhengzhou City was taken as an example, the comprehensive indices of urban flood-bearing risk from 2006 to 2015 were evaluated. The results showed that the comprehensive risk of Zhengzhou City was generally on a slow upward trend, from II level (moderate-risk) in 2006 to III level (secondary high-risk) in 2015, which was mainly due to the mismatch between the rapid development of urbanization and the slow improvement of DPAM capabilities. This paper is expected to provide scientific reference and technical support for urban flood disaster prevention and sponge city construction. © 2020, Springer Nature B.V. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/168609
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| Appears in Collections: | 气候变化与战略
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作者单位: | School of Water Conservancy Science and Engineering, Zhengzhou University, Zhengzhou, 450001, China
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| Recommended Citation: | |
Lv H.,Guan X.,Meng Y.. Comprehensive evaluation of urban flood-bearing risks based on combined compound fuzzy matter-element and entropy weight model[J]. Natural Hazards,2020-01-01,103(2)
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