| DOI: | 10.1007/s11069-019-03824-9
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| 论文题名: | Hazard assessment and regionalization of highway flood disasters in China |
| 作者: | Yin C.
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| 刊名: | Natural Hazards
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| ISSN: | 0921030X
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| 出版年: | 2020
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| 卷: | 100, 期:2 | | 起始页码: | 535
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| 结束页码: | 550
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| 语种: | 英语
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| 中文关键词: | Hazard assessment
; Highway flood disaster (HFD)
; Modeling method
; Regionalization
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| 英文关键词: | disaster management
; extreme event
; flood
; hazard assessment
; mountain region
; regionalization
; road
; support vector machine
; China
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| 英文摘要: | 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. © 2019, Springer Nature B.V. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/168828
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| Appears in Collections: | 气候变化与战略
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作者单位: | School of Civil and Architecture Engineering, Shandong University of Technology, Zibo, 255049, China
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| Recommended Citation: | |
Yin C.. Hazard assessment and regionalization of highway flood disasters in China[J]. Natural Hazards,2020-01-01,100(2)
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