Coastal erosion and flooding risk assessment based on grid scale: A case study of six coastal metropolitan areas

沿海洪水 脆弱性(计算) 洪水(心理学) 大都市区 危害 加权 环境资源管理 层次分析法 风险评估 海岸侵蚀 海岸管理 比例(比率) 地理 环境规划 风险管理 环境科学 土木工程 计算机科学 业务 腐蚀 运筹学 地图学 工程类 气候变化 海洋学 地质学 生态学 财务 医学 放射科 古生物学 生物 心理学 考古 心理治疗师 计算机安全 海平面上升
作者
Xuyue Cao,Yonghua Sun,Yanzhao Wang,Yihan Wang,Xinglu Cheng,Wangkuan Zhang,Jinkun Zong,Ruozeng Wang
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:946: 174393-174393 被引量:5
标识
DOI:10.1016/j.scitotenv.2024.174393
摘要

Coastal areas, situated at the critical juncture of sea-land interaction, are confronted with significant challenges from coastal erosion and flooding. It is imperative to evaluate these risks and offer scientific guidance to foster regional sustainable development. This article developed a coastal risk assessment model based on grid scale, integrating both coastal exposure and socio-ecological environment. Fourteen indicators were selected, aiming to offer a systematic approach for estimating and comparing disaster risks in coastal areas. This risk assessment model was applied to Shanghai, New York, Sydney, San Francisco, Randstad, and Tokyo metropolitan areas. The results indicate: (1) Accounting for the protective role of habitat types like mangroves and the distance attenuation effect offered a more precise representation of hazard situation; (2) The integration of the Game Theory weighting method with both subjective Analytic Hierarchy Process and objective CRITIC weighting enhanced the scientific validity and rationality of the results by minimizing deviations between subjective and objective weights; (3) Shanghai exhibited the highest average hazard and vulnerability, San Francisco had the lowest average hazard and Sydney had the lowest average vulnerability; In terms of comprehensive risk, Shanghai possessed the highest average risk, while Sydney presented the lowest. The proposed model framework is designed to swiftly identify high-risk zones, providing detailed information references for local governments to devise efficacious risk management and prevention strategies.

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