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DOI	10.1016/j.ijdrr.2021.102679
	Cloudburst-disaster modelling. A new open-source catastrophe model
	Knos, Daniel; Karagiorgos, Konstantinos; Haas, Jan; Blumenthal, Barbara; Nyberg, Lars; Halldin, Sven
通讯作者	Nyberg, L
来源期刊	INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
ISSN	2212-4209
出版年	2022
卷号	67
英文摘要	Cloudburst flash floods cause big casualties and economic losses. This study primarily investigated if a cloudburst catastrophe (cat) model could be constructed to meaningfully assess such a hazard, exposure and vulnerability in Swedish urban context. Rainfall intensity was used directly as hazard measure, bypassing hydraulic water-level modelling, to predict vulnerability. The Splash (Swedish pluvial modelling analysis and safety handling) cloudburst-disaster model was constructed using the Oasis Loss Modelling Framework, and was based on individual property values and building locations, property-level insurance-loss data, high-resolution geographical data, and rainfall data from a dense municipal gauge network in the city of Jo center dot nko center dot ping. One major cloudburst event was used to derive a vulnerability curve. The following two events were used for validation and supported the hypothesis that the vulnerability curve changed with time because of municipal flood-risk-reduction measures after the first event. A faulty rain gauge during the first event, replaced by a trustworthy private gauge, clarified the very high sensitivity to cloudburst input. Given the limited amount of loss data, our results were uncertain but they pointed towards possible ways to further this study with other loss data at other locations, possibly using more easily available aggregated loss data. We concluded that a cat model based only on rainfall intensity provided acceptable results, thus providing an opening for future, simplified cloudburst cat models applicable in most geographical contexts where reliable cloudburst data are available, especially in cities with limited topographic data and hydraulic-modelling capacity.
英文关键词	Catastrophe model Cloudburst Oasis open-source framework Pluvial flooding Property-level loss data Vulnerability curve
类型	Article
语种	英语
开放获取类型	Green Published, hybrid
收录类别	SCI-E
WOS记录号	WOS:000761944500003
WOS关键词	FLOOD ; VULNERABILITY ; PRECIPITATION ; EXPOSURE ; LESSONS
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393139
推荐引用方式 GB/T 7714	Knos, Daniel,Karagiorgos, Konstantinos,Haas, Jan,et al. Cloudburst-disaster modelling. A new open-source catastrophe model[J],2022,67.
APA	Knos, Daniel,Karagiorgos, Konstantinos,Haas, Jan,Blumenthal, Barbara,Nyberg, Lars,&Halldin, Sven.(2022).Cloudburst-disaster modelling. A new open-source catastrophe model.INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,67.
MLA	Knos, Daniel,et al."Cloudburst-disaster modelling. A new open-source catastrophe model".INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 67(2022).