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Flash flood vulnerability assessment of roads in China based on support vector machine
He, Yufeng1; Ma, Deying1; Xiong, Junnan1,2; Cheng, Weiming2,3; Jia, Hongliang1; Wang, Nan2,3; Guo, Liang4,5; Duan, Yu1; Liu, Jun1; Yang, Gang1
2021-05-07
Source PublicationGEOCARTO INTERNATIONAL
ISSN1010-6049
Pages24
Corresponding AuthorXiong, Junnan(xiongjn@swpu.edu.cn)
AbstractFlash flood is one of the most devastating types of disasters. Roads are linear strip structures exposed to the natural environment and they are vulnerable to damage when flash flood occurs. Thus, an accurate assessment of flash flood vulnerability for roads is mandatory for the improvement of transportation flash flood forecasting and warnings. In this study, we constructed an assessment model for assessing the flash flood vulnerability of roads based on their exposure and disaster reduction capability. Then, considering the mechanism of flash floods acting on the road, we preliminarily established an index system with analytic hierarchy process (AHP), and used a support vector machine (SVM) to aggregate the indices. The use of SVM avoids the subjectivity of vulnerability evaluation. The Assessment results showed that 4.29% of the land area has high or extremely high vulnerability. The moderate vulnerability areas accounted for 5.19% of the land area. The low and extremely low vulnerability areas accounted for 15.81% of the land area; and the land area with no roads accounted for 43.94%. The suburban areas with dense roads in the southeast and the areas near the main roads in the northwest, had high and extremely high vulnerability. The low and extremely low vulnerability areas are mainly distributed in the areas with sparse roads and close to cities. The results of this study satisfy the need for the high precision and large-scale evaluation of flash flood vulnerability of roads. Based on the results of the vulnerability assessment, different disaster prevention and reduction measures should be taken in the northwest and southeast. The northwestern region should attach importance to the construction of roads and improve the disaster prevention and reduction system; while the southeastern region should plan layout and construction of new roads rationally and enhance the disaster resistance of existing roads.
KeywordRoads flash flood vulnerability assessment exposure disaster reduction capability support vector machine
DOI10.1080/10106049.2021.1926560
WOS KeywordANALYTICAL HIERARCHY PROCESS ; LANDSLIDE SUSCEPTIBILITY ; RISK-ASSESSMENT ; NATURAL DISASTERS ; MODEL ; AHP
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000655787800001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/163928
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXiong, Junnan
Affiliation1.Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.China Inst Water Resources & Hydropower Res, Beijing, Peoples R China
5.Reduct Minist Water Resources, Res Ctr Flood & Drought Disaster, Beijing, Peoples R China
Recommended Citation
GB/T 7714
He, Yufeng,Ma, Deying,Xiong, Junnan,et al. Flash flood vulnerability assessment of roads in China based on support vector machine[J]. GEOCARTO INTERNATIONAL,2021:24.
APA He, Yufeng.,Ma, Deying.,Xiong, Junnan.,Cheng, Weiming.,Jia, Hongliang.,...&Yang, Gang.(2021).Flash flood vulnerability assessment of roads in China based on support vector machine.GEOCARTO INTERNATIONAL,24.
MLA He, Yufeng,et al."Flash flood vulnerability assessment of roads in China based on support vector machine".GEOCARTO INTERNATIONAL (2021):24.
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