Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China

被引:1
|
作者
Li, Zhi [1 ,2 ]
Wu, Mingyang [1 ,3 ]
Chen, Ningsheng [1 ,4 ,5 ]
Hou, Runing [1 ,6 ]
Tian, Shufeng [1 ,4 ]
Rahman, Mahfuzur [7 ,8 ]
机构
[1] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China
[2] Tibet Univ, Coll Engn, Lhasa 850012, Peoples R China
[3] Kunming Univ Sci & Technol, Fac Publ Safety & Emergency Management, Kunming 650093, Peoples R China
[4] Acad Plateau Sci & Sustainabil, Xining 810016, Peoples R China
[5] Tribhuvan Univ, Chinese Acad Sci, Kathmandu Ctr Res & Educ, Beijing 100101, Peoples R China
[6] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[7] Int Univ Business Agr & Technol IUBAT, Dept Civil Engn, Dhaka 1230, Bangladesh
[8] Kunsan Natl Univ, Dept Civil Engn, Gunsan 54150, South Korea
关键词
Tien Shan Mountain; debris flow; risk analysis; machine learning; LAND-COVER CHANGE; SOCIAL VULNERABILITY; NATURAL HAZARDS; REGION;
D O I
10.3390/rs15245681
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Tien Shan Mountain range connects Central Asia with northwestern China and is a crucial transport junction between East and West Asia. It is a common location for regional debris flows, which pose a significant risk to ecological security and the safety of people and property. Nevertheless, limited knowledge exists about the distribution of disaster risks and the impacted populations. This study uses advanced machine learning techniques to identify the key natural and social factors influencing these hazards and incorporates the Social Vulnerability Index (SoVI) to assess societal vulnerability. The outcomes demonstrate that (1) the debris flow hazard in the Tien Shan Mountain area is primarily governed by the geological structure, which dictates the material source and, in turn, dictates the onset of debris flows. (2) The vulnerability demonstrates a high spatial tendency in the north and a low one in the south, with evident spatial clustering characteristics. (3) A total of 19.13% of the study area is classified as high-hazard, with specific distribution zones including the northern foothills of the Tien Shan Mountains, the low-mountain zones of the southern foothills of the Tien Shan Mountains, and the Yili Valley zone. This holistic approach offers valuable insights into the spatial distribution of risks, aiding in prioritizing disaster preparedness and mitigation efforts. Also, our findings and conclusions are beneficial for local decision makers to allocate resources effectively and promote sustainable development practices in the region.
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页数:22
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