Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China
Debris flow risk comprehensively reflects the natural and social properties of debris flow disasters and is composed of the risk of the disaster-causing body and the vulnerability of the carrier. The Bailong River Basin (BRB) is a typical mountainous environment where regional debris flow disasters...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/12/2942 |
| _version_ | 1797482589395615744 |
|---|---|
| author | Yanyan Zhou Dongxia Yue Geng Liang Shuangying Li Yan Zhao Zengzu Chao Xingmin Meng |
| author_facet | Yanyan Zhou Dongxia Yue Geng Liang Shuangying Li Yan Zhao Zengzu Chao Xingmin Meng |
| author_sort | Yanyan Zhou |
| collection | DOAJ |
| description | Debris flow risk comprehensively reflects the natural and social properties of debris flow disasters and is composed of the risk of the disaster-causing body and the vulnerability of the carrier. The Bailong River Basin (BRB) is a typical mountainous environment where regional debris flow disasters occur frequently, seriously threatening the lives of residents, infrastructure, and regional ecological security. However, there are few studies on the risk assessment of mountainous debris flow disasters in the BRB. By considering a complete catchment, based on remote sensing and GIS methods, we selected 17 influencing factors, such as area, average slope, lithology, NPP, average annual precipitation, landslide density, river density, fault density, etc. and applied a machine learning algorithm to establish a hazard assessment model. The analysis shows that the Extra Trees model is the most effective for debris flow hazard assessments, with an accuracy rate of 88%. Based on socio-economic data and debris flow disaster survey data, we established a vulnerability assessment model by applying the Contributing Weight Superposition method. We used the product of debris flow hazard and vulnerability to construct a debris flow risk assessment model. The catchments at a very high-risk were distributed mainly in the urban area of Wudu District and the northern part of Tanchang County, that is, areas with relatively dense economic activities and a high disaster frequency. These findings indicate that the assessment results provide scientific support for planning measures to prevent or reduce debris flow hazards. The proposed assessment methods can also be used to provide relevant guidance for a regional risk assessment of debris flows in the BRB and other regions. |
| first_indexed | 2024-03-09T22:35:31Z |
| format | Article |
| id | doaj.art-27e533e340454da0859b20d719f35ffe |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T22:35:31Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-27e533e340454da0859b20d719f35ffe2023-11-23T18:49:15ZengMDPI AGRemote Sensing2072-42922022-06-011412294210.3390/rs14122942Risk Assessment of Debris Flow in a Mountain-Basin Area, Western ChinaYanyan Zhou0Dongxia Yue1Geng Liang2Shuangying Li3Yan Zhao4Zengzu Chao5Xingmin Meng6MOE Key Laboratory of Western China’s Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Western China’s Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Western China’s Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Western China’s Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, ChinaSchool of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaMOE Key Laboratory of Western China’s Environmental Systems, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, ChinaSchool of Earth Sciences, Lanzhou University, Lanzhou 730000, ChinaDebris flow risk comprehensively reflects the natural and social properties of debris flow disasters and is composed of the risk of the disaster-causing body and the vulnerability of the carrier. The Bailong River Basin (BRB) is a typical mountainous environment where regional debris flow disasters occur frequently, seriously threatening the lives of residents, infrastructure, and regional ecological security. However, there are few studies on the risk assessment of mountainous debris flow disasters in the BRB. By considering a complete catchment, based on remote sensing and GIS methods, we selected 17 influencing factors, such as area, average slope, lithology, NPP, average annual precipitation, landslide density, river density, fault density, etc. and applied a machine learning algorithm to establish a hazard assessment model. The analysis shows that the Extra Trees model is the most effective for debris flow hazard assessments, with an accuracy rate of 88%. Based on socio-economic data and debris flow disaster survey data, we established a vulnerability assessment model by applying the Contributing Weight Superposition method. We used the product of debris flow hazard and vulnerability to construct a debris flow risk assessment model. The catchments at a very high-risk were distributed mainly in the urban area of Wudu District and the northern part of Tanchang County, that is, areas with relatively dense economic activities and a high disaster frequency. These findings indicate that the assessment results provide scientific support for planning measures to prevent or reduce debris flow hazards. The proposed assessment methods can also be used to provide relevant guidance for a regional risk assessment of debris flows in the BRB and other regions.https://www.mdpi.com/2072-4292/14/12/2942risk assessmenthazardvulnerabilitydebris flowsBailong River Basin |
| spellingShingle | Yanyan Zhou Dongxia Yue Geng Liang Shuangying Li Yan Zhao Zengzu Chao Xingmin Meng Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China Remote Sensing risk assessment hazard vulnerability debris flows Bailong River Basin |
| title | Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China |
| title_full | Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China |
| title_fullStr | Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China |
| title_full_unstemmed | Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China |
| title_short | Risk Assessment of Debris Flow in a Mountain-Basin Area, Western China |
| title_sort | risk assessment of debris flow in a mountain basin area western china |
| topic | risk assessment hazard vulnerability debris flows Bailong River Basin |
| url | https://www.mdpi.com/2072-4292/14/12/2942 |
| work_keys_str_mv | AT yanyanzhou riskassessmentofdebrisflowinamountainbasinareawesternchina AT dongxiayue riskassessmentofdebrisflowinamountainbasinareawesternchina AT gengliang riskassessmentofdebrisflowinamountainbasinareawesternchina AT shuangyingli riskassessmentofdebrisflowinamountainbasinareawesternchina AT yanzhao riskassessmentofdebrisflowinamountainbasinareawesternchina AT zengzuchao riskassessmentofdebrisflowinamountainbasinareawesternchina AT xingminmeng riskassessmentofdebrisflowinamountainbasinareawesternchina |