Evolution characteristics of the rainstorm disaster chains in the Guangdong–Hong Kong–Macao Greater Bay Area, China
Yujie Wang,
Ge Gao (),
Jianqing Zhai,
Qiufeng Liu and
Lianchun Song
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Yujie Wang: Nanjing University of Information Science & Technology
Ge Gao: Nanjing University of Information Science & Technology
Jianqing Zhai: China Meteorological Administration
Qiufeng Liu: China Meteorological Administration
Lianchun Song: China Meteorological Administration
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 119, issue 3, No 36, 2032 pages
Abstract:
Abstract Enhancing the resistance of urban agglomeration against rainstorm-induced disasters has become a more urgent mission for the construction of the Guangdong–Hong Kong–Macao Greater Bay Area (GBA). But, few studies have focused on the rainstorm disaster chains at the scale of urban agglomeration. In view of this, in this study, we investigate the classification, mechanism, probability, variation and risk of rainstorm disaster chains in the GBA by using the meteorological observation, physical geography, land-use, socioeconomic and disaster loss data during 1990–2018. The results show that the rainstorms can lead to many disaster chains in the GBA, such as flash flood, riverine flood, debris flow/landslide, urban waterlogging and agricultural waterlogging. Among them, the urban waterlogging disaster chain has the highest probability to occur. Furthermore, these disaster chains are influenced and exacerbated by each other, leading to cascading effects. Since the twenty-first century, the frequency of urban waterlogging has increased and becomes the most prominent rainstorm-induced disaster, while flash flood, riverine flood and debris flow/landslide decreased. The rainstorm disaster loss index in the GBA shows a significant increasing trend (p
Keywords: Rainstorm disaster chains; Risk; Evolution characteristics; Guangdong-Hong Kong-Macao Greater Bay Area (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:119:y:2023:i:3:d:10.1007_s11069-023-06108-5
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DOI: 10.1007/s11069-023-06108-5
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