A physically based spatiotemporal method of analyzing flood impacts on urban road networks

Yi Li, Jianhua Gong, Lei Niu and Jun Sun ()
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Yi Li: Chinese Academy of Sciences
Jianhua Gong: Chinese Academy of Sciences
Lei Niu: Henan University of Urban Construction
Jun Sun: Chinese Academy of Sciences

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2019, vol. 97, issue 1, No 7, 137 pages

Abstract: Abstract Flash flooding occurs when low-lying geographic areas are rapidly flooded and is mainly caused by heavy rains. Urban road networks are the primary structures affected by flood inundation, which causes disruption to transportation and reduces the efficiency of rescue services. This paper proposes a physically based spatiotemporal method of analyzing flood impacts on urban road networks that considers both the physical parameters of flooding and the susceptibility of the transportation network. The results indicate that the proposed method provides reasonable spatiotemporal and synthetic estimates of impacts to the road network of Austin, Texas, USA, under flash flooding.

Keywords: Flood disaster evaluation; Flash floods; Transportation network; Cellular automata (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11069-019-03630-3

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