2022
DOI: 10.3389/feart.2022.839733
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Risk Assessment of Typhoon Disaster Chains in the Guangdong–Hong Kong–Macau Greater Bay Area, China

Abstract: The typhoon disaster chain is one of the leading climate risks in constructing the Guangdong–Hong Kong–Macau Greater Bay Area (GBA). In this study, the risks of the typhoon disaster chains including typhoon-induced gales, rainstorms, and storm surges in the GBA, as well as the comprehensive risk of typhoon disaster, are investigated at county level by comprehensively analyzing the hazard, exposure, and vulnerability. The results show that the high- and very-high-risk areas of typhoon–gale disaster chain are lo… Show more

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Cited by 6 publications
(4 citation statements)
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“…Figure 2 shows a map of the GBA. The GBA is located in the coastal area of southern China, and its geographical location makes it vulnerable to extreme weather events such as typhoons and heavy rainfall (Wang et al, 2022a;Wang et al, 2022b). The region is economically developed and highly urbanized.…”
Section: Study Casementioning
confidence: 99%
“…Figure 2 shows a map of the GBA. The GBA is located in the coastal area of southern China, and its geographical location makes it vulnerable to extreme weather events such as typhoons and heavy rainfall (Wang et al, 2022a;Wang et al, 2022b). The region is economically developed and highly urbanized.…”
Section: Study Casementioning
confidence: 99%
“…Guangdong Province was classified into six levels of risk zones based on the integrated typhoon disaster risk, and the indirect economic impacts were further analyzed on this basis. Wang et al (2022) synthesized the risk, exposure, and vulnerability of three typhoon hazard chains, constructed a comprehensive typhoon hazard risk indicator for the Greater Bay Area, divided the risk level of typhoon hazard chains in important towns and cities as well as the comprehensive risk level, and verified the validity of the assessment methodology of the comprehensive risk indicator for typhoon hazards. In multi-attribute decision analysis, MULTIMOORA method has simple calculation, short time and strong robustness, and is widely used in process selection (Lixia et al, 2020;Qiong et al, 2021;Lei et al, 2022), location selection (Yuan-hua et al, 2023), risk assessment (Shenghua et al, 2019;Zhang et al, 2022) and other fields (Hafezalkotob et al, 2019).…”
Section: Introductionmentioning
confidence: 95%
“…e literature review mainly highlights the time period, method, study region, research purpose, and significant findings of the study most related to wind loss analysis, as listed in Table 1, including studies [26][27][28][29][30][31][32][33][34][35][36][37][38] as follows.…”
Section: Literature Reviewmentioning
confidence: 99%