Flash flood vulnerability assessment of roads in China based on support vector machine
文献类型：期刊论文
| 作者 | He, Yufeng4; Ma, Deying4; Xiong, Junnan3,4; Cheng, Weiming2,3; Jia, Hongliang4; Wang, Nan2,3; Guo, Liang1,5; Duan, Yu4; Liu, Jun4; Yang, Gang4 |
| 刊名 | GEOCARTO INTERNATIONAL
 |
| 出版日期 | 2021-05-07 |
| 页码 | 24 |
| 关键词 | Roads flash flood vulnerability assessment exposure disaster reduction capability support vector machine |
| ISSN号 | 1010-6049 |
| DOI | 10.1080/10106049.2021.1926560 |
| 通讯作者 | Xiong, Junnan(xiongjn@swpu.edu.cn) |
| 英文摘要 | Flash 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. |
| WOS关键词 | ANALYTICAL HIERARCHY PROCESS ; LANDSLIDE SUSCEPTIBILITY ; RISK-ASSESSMENT ; NATURAL DISASTERS ; MODEL ; AHP |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000655787800001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/163927]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xiong, Junnan |
| 作者单位 | 1.China Inst Water Resources & Hydropower Res, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 4.Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu, Peoples R China 5.Reduct Minist Water Resources, Res Ctr Flood & Drought Disaster, Beijing, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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