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

被引:5
作者
Cao, Xuyue [1 ,2 ,3 ,4 ]
Sun, Yonghua [1 ]
Wang, Yanzhao [1 ,2 ,3 ,4 ]
Wang, Yihan [1 ,2 ,3 ,4 ]
Cheng, Xinglu [1 ,2 ,3 ,4 ]
Zhang, Wangkuan [1 ,2 ,3 ,4 ]
Zong, Jinkun [1 ,2 ,3 ,4 ]
Wang, Ruozeng [1 ,2 ,3 ,4 ]
机构
[1] Capital Normal Univ, Beijing Lab Water Resources Secur, Beijing 100048, Peoples R China
[2] Capital Normal Univ, Coll Resources Environm & Tourism, Beijing 100048, Peoples R China
[3] Capital Normal Univ, State Key Lab Urban Environm Proc & Digital Simula, Beijing 100048, Peoples R China
[4] Minist Educ, Key Lab Informat Acquisit & Applicat 3D, Beijing 100048, Peoples R China
关键词
Coastal erosion and flooding risk assessment; Risk assessment indicators; InVEST model; Game Theory; Coastal metropolitan areas; INDEX-BASED METHOD; VULNERABILITY; DISASTER; PROVINCE; ZONES;
D O I
10.1016/j.scitotenv.2024.174393
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页数:15
相关论文
共 50 条
[41]   Coastal Erosion Risk: Population Adaptation to Climate Change-A Case Study of the Pays de la Loire Coastline [J].
Chadenas, C. ;
Chotard, M. ;
Navarro, O. ;
Kerguillec, R. ;
Robin, M. ;
Juigner, M. .
WEATHER CLIMATE AND SOCIETY, 2023, 15 (01) :145-157
[42]   Assessing the Impact of Coastal Erosion on Archaeological Sites: A Case Study from Northern Ireland [J].
Westley, Kieran ;
McNeary, Rory .
CONSERVATION AND MANAGEMENT OF ARCHAEOLOGICAL SITES, 2014, 16 (03) :185-211
[43]   Projections of coastal flooding under different RCP scenarios over the 21st century: A case study of China's coastal zone [J].
Xu, He ;
Hou, Xiyong ;
Li, Dong ;
Zheng, Xiangyang ;
Fan, Chao .
ESTUARINE COASTAL AND SHELF SCIENCE, 2022, 279
[44]   Storm surge risk assessment method for a coastal county in China: case study of Jinshan District, Shanghai [J].
Shi Xianwu ;
Qiu Jufei ;
Chen Bingrui ;
Zhang Xiaojie ;
Guo Haoshuang ;
Wang Jun ;
Bei Zhuyuan .
Stochastic Environmental Research and Risk Assessment, 2020, 34 :627-640
[45]   Storm surge risk assessment method for a coastal county in China: case study of Jinshan District, Shanghai [J].
Shi, Xianwu ;
Qiu, Jufei ;
Chen, Bingrui ;
Zhang, Xiaojie ;
Guo, Haoshuang ;
Wang, Jun ;
Bei, Zhuyuan .
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2020, 34 (05) :627-640
[46]   A methodology for urban micro-scale coastal flood vulnerability and risk assessment and mapping [J].
Percival, Sarah ;
Teeuw, Richard .
NATURAL HAZARDS, 2019, 97 (01) :355-377
[47]   A methodology for urban micro-scale coastal flood vulnerability and risk assessment and mapping [J].
Sarah Percival ;
Richard Teeuw .
Natural Hazards, 2019, 97 :355-377
[48]   Identifying dominant factors of waterlogging events in metropolitan coastal cities: The case study of Guangzhou, China [J].
Zhang, Qifei ;
Wu, Zhifeng ;
Zhang, Hui ;
Dalla Fontana, Giancarlo ;
Tarolli, Paolo .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 271
[49]   Integrating spatial statistics tools for coastal risk management: A case-study of typhoon risk in mainland China [J].
Sajjad, Muhammad ;
Chan, Johnny C. L. ;
Kanwal, Shamsa .
OCEAN & COASTAL MANAGEMENT, 2020, 184
[50]   Comprehensive risk assessment of typhoon disasters in China 's coastal areas based on multi-source geographic big data [J].
Wang, Zhenkang ;
Xia, Nan ;
Zhao, Xin ;
Ji, Xiankai ;
Wang, Jiechen .
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 926