Hazard assessment and regionalization of highway flood disasters in China

Chao Yin ()
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Chao Yin: Shandong University of Technology

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2020, vol. 100, issue 2, No 4, 535-550

Abstract: Abstract China has suffered from serious highway flood disasters (HFDs) due to the deterioration and damages of natural environment, and a comprehensive understanding of HFDs from a spatial aspect has become the most important preconditions to improve the highway anti-disaster capacities. Embedded wavelet neural network, particle swarm optimization–improved support vector machine and logistic regression method were applied to the hazard assessment of HFDs in plain areas. Combined with the achievements in mountainous areas, the hazard regionalization of HFDs in China was proposed. The results show that the extreme hazard areas, severe hazard areas, moderate hazard areas and micro-hazard areas account for 22.6%, 24.4%, 20.7% and 32.3% of China’s total land areas, respectively. The investigated highway segments suffering from flood disasters located in extreme hazard areas and severe hazard areas account for 48.25% and 25.87%, respectively, indicating the hazard regionalization is consistent with the actual disaster distribution situations. The research results can be regarded as the theoretical foundations for macro-policy formulation for prevention and control of HFDs.

Keywords: Highway flood disaster (HFD); Hazard assessment; Regionalization; Modeling method (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11069-019-03824-9

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