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Quantitative flood disaster loss-resilience with the multilevel hybrid evaluation model

文献类型：期刊论文

作者Yan, Rui2,3; Liu, Lulu3; Liu, Wanlu2,3; Wu, Shaohong1,2,3
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2023-12-01
卷号347页码:12
关键词Disaster resilience Flood loss Mixed -effects model Multilevel hybrid evaluation model Multicriteria decision making
ISSN号0301-4797
DOI10.1016/j.jenvman.2023.119026
通讯作者Wu, Shaohong(wush@igsnrr.ac.cn)
英文摘要The severity of global flood disasters is growing, causing loss of human life and property. Building a highresilience social system, an important means of sustainable flood control, can address these flood-related issues. Numerous studies have carried out disaster resilience evaluations and explored the correlation between flood disaster loss and intensity, but neglected to analyze the role of resilience construction in disaster loss reduction. This study proposed a research route for linking flood loss and disaster loss to quantify the relationship between the two. Take Guangdong Province, China as a study case, the mixed-effects (ME) model and multilevel hybrid evaluation model (MHEM) were established to assess disaster loss and resilience of cities, respectively. Subsequently, disaster resilience curves were built to quantitatively evaluate disaster resilience and corresponding disaster loss. The results show that (1) the ME model can concurrently build the disaster intensity-loss curves of multiple cities with high fitting accuracy. The MHEM combines multiple methods to determine the evaluation result with the highest consistency, showing high reliability. (2) The central and southern regions of Guangdong Province have low disaster loss and high resilience, while the northern regions have high disaster loss and low resilience. (3) With the improvement of disaster resistance, the reduction in disaster loss gradually decreases. Disaster loss in low-resilience cities exhibits greater randomness than that in high-resilience cities, and increasing their resilience can more significantly reduce their level of loss. This study provides a quantitative basis and available methods for comprehensive responses to natural disasters and adaptation to global climate change.
WOS关键词YANGTZE-RIVER BASIN ; CLIMATE-CHANGE ; MCDM METHODS ; PRECIPITATION ; FREQUENCY ; RISK ; REGRESSION ; SELECTION ; EXTREMES ; RAINFALL
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040304]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001098399700001
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/199981]  
专题中国科学院地理科学与资源研究所
通讯作者Wu, Shaohong
作者单位1.11A Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Yan, Rui,Liu, Lulu,Liu, Wanlu,et al. Quantitative flood disaster loss-resilience with the multilevel hybrid evaluation model[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2023,347:12.
APA Yan, Rui,Liu, Lulu,Liu, Wanlu,&Wu, Shaohong.(2023).Quantitative flood disaster loss-resilience with the multilevel hybrid evaluation model.JOURNAL OF ENVIRONMENTAL MANAGEMENT,347,12.
MLA Yan, Rui,et al."Quantitative flood disaster loss-resilience with the multilevel hybrid evaluation model".JOURNAL OF ENVIRONMENTAL MANAGEMENT 347(2023):12.

入库方式： OAI收割

来源：地理科学与资源研究所

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