Refined assessment of flash flood vulnerability in Linzhi based on spatialization and GIS
文献类型：期刊论文
| 作者 | Cui, Xingjie2; Xiong, Junnan1,2; Cheng, Weiming1,3; Yang, Yanmei2; Liu, Jun2; Duan, Yu2; He, Wen2; He, Yufeng2; Luo, Siyuan2; Wang, Xin2 |
| 刊名 | GEOCARTO INTERNATIONAL
 |
| 出版日期 | 2022-10-14 |
| 页码 | 25 |
| ISSN号 | 1010-6049 |
| 关键词 | flash floods vulnerability spatialization triangular fuzzy number based analytic hierarchy process random forest model Linzhi |
| DOI | 10.1080/10106049.2022.2136264 |
| 通讯作者 | Xiong, Junnan(xiongjn@swpu.edu.cn) |
| 英文摘要 | Flash floods are one of the most serious mountain disasters in Linzhi, China, pose a grave threat to the lives and property of the residents. However, the current regional vulnerability research cannot meet the needs of refined disaster prevention and mitigation in mountainous areas. Therefore, to address this knowledge gap, this study presented a vulnerability assessment framework base on spatialization technique along with the triangular fuzzy number-based analytic hierarchy process (TFN-AHP) and random forest (RF) model. To achieve this goal, an assessment system containing 12 indicators was constructed from the three perspectives of exposure, susceptibility and coping capacity. Firstly, factor spatialization is introduced in data preprocessing. Then TFN-AHP and the RF model were used to calculate the exposure, susceptibility, and coping capacity. Finally, the spatial distribution of the vulnerability throughout Linzhi was obtained. According to the results, the exposure, susceptibility and coping capacity in most areas are extremely low and low, accounting for 74.1%, 99% and 99%, respectively. The vulnerability is similar to the exposure that most of the regions have extremely low vulnerability and low vulnerability, accounting for 83.5%. The moderate vulnerability regions account for 8.5%, and the high vulnerability regions account for only 1%. The assessment results show that high-exposure areas mainly exhibit a linear distribution, and mainly include river valleys, cultivated land, and residential areas. Obviously, these areas are mainly distributed in the population and economic agglomeration areas and on low-altitude terrain. The distribution of high and comparatively high vulnerability zones, where economic and human activities are considerably high, are closely to the topography of the catchment. Thus, the results of this study provide scientific and technological evidence for resettlement, population distribution adjustment, and prevention and mitigation of flash floods in Linzhi. |
| WOS关键词 | RISK-ASSESSMENT ; LANDSLIDE SUSCEPTIBILITY ; SOCIAL VULNERABILITY ; STATISTICAL-MODELS ; RIVER-BASIN ; HAZARD ; CHINA ; PREDICTION ; CLASSIFICATION ; BIVARIATE |
| 资助项目 | Key R&D project of Sichuan Science and Technology Department[21QYCX0016] ; Key R&D project of Sichuan Science and Technology Department[2021YFQ0042] ; National Key R&D Program of China[2020YFD1100701] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20030302] ; Science and Technology Project of Xizang Autonomous Region[XZ201901-GA-07] ; National Flash Flood Investigation and Evaluation Project[SHZHIWHR-57] ; Science and Technology Bureau of Altay Region in Yili Kazak Autonomous Prefecture[Y99M4600AL] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:000870604800001 |
| 资助机构 | Key R&D project of Sichuan Science and Technology Department ; National Key R&D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Science and Technology Project of Xizang Autonomous Region ; National Flash Flood Investigation and Evaluation Project ; Science and Technology Bureau of Altay Region in Yili Kazak Autonomous Prefecture |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/185907]  |
| 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.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cui, Xingjie,Xiong, Junnan,Cheng, Weiming,et al. Refined assessment of flash flood vulnerability in Linzhi based on spatialization and GIS[J]. GEOCARTO INTERNATIONAL,2022:25. |
| APA | Cui, Xingjie.,Xiong, Junnan.,Cheng, Weiming.,Yang, Yanmei.,Liu, Jun.,...&Wang, Xin.(2022).Refined assessment of flash flood vulnerability in Linzhi based on spatialization and GIS.GEOCARTO INTERNATIONAL,25. |
| MLA | Cui, Xingjie,et al."Refined assessment of flash flood vulnerability in Linzhi based on spatialization and GIS".GEOCARTO INTERNATIONAL (2022):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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