RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATA
China is a country prone to natural disasters, and roads are easily damaged in natural disasters. As the infrastructure of people's production and life and the lifeline of post-disaster rescue, roads play a very important role. There are many previous studies on geological disasters risk assess...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-10-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-3-W1-2022/163/2022/isprs-annals-X-3-W1-2022-163-2022.pdf |
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| author | X. Wang X. Wang X. Zhang X. Zhang M. Li M. Li Z. Zhou Z. Zhou B. Chen B. Chen H. Xie H. Xie |
| author_facet | X. Wang X. Wang X. Zhang X. Zhang M. Li M. Li Z. Zhou Z. Zhou B. Chen B. Chen H. Xie H. Xie |
| author_sort | X. Wang |
| collection | DOAJ |
| description | China is a country prone to natural disasters, and roads are easily damaged in natural disasters. As the infrastructure of people's production and life and the lifeline of post-disaster rescue, roads play a very important role. There are many previous studies on geological disasters risk assessment, but few special researches on highway geological disasters risk assessment, especially quantitative risk assessment combined with remote sensing images. Therefore, the risk assessment of geological disasters along the road is of great significance for the prevention and control of geological disasters and the protection of life and property safety. Based on GF-6 data and other geographic data, this study used the comprehensive evaluation method to realize the geological disasters risk assessment of the Maoxian-Wenchuan section along the G213 line, and analysed and discussed the causes and spatial distribution of geological disasters along the G213 line. Our study presents several key findings, (1) The order of impact degree of each impact factor is road network density, soil erosion, slope, human activities, vegetation coverage, rainfall, and slope aspect, among them, the road network density factor plays a leading role, and the aspect factor is the least impact factor; (2) The geological disasters risk in the study area is divided into five categories: extremely low risk, low risk, medium risk, high risk, and extremely high risk. In general, the geological disasters risk of the research road section is relatively high, and the risk area division is consistent with the historical disaster point data. The research results can provide reference for the smooth development and implementation of road geological disasters risk assessment in the mountainous areas in southwestern China. |
| first_indexed | 2024-04-12T17:58:13Z |
| format | Article |
| id | doaj.art-1d80018206304d2fa2b7a59816816497 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-04-12T17:58:13Z |
| publishDate | 2022-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-1d80018206304d2fa2b7a598168164972022-12-22T03:22:16ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502022-10-01X-3-W1-202216316910.5194/isprs-annals-X-3-W1-2022-163-2022RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATAX. Wang0X. Wang1X. Zhang2X. Zhang3M. Li4M. Li5Z. Zhou6Z. Zhou7B. Chen8B. Chen9H. Xie10H. Xie11Beijing University of Civil Engineering and Architecture, 102616, Beijing, ChinaKey Laboratory for Urban Spatial Informatics of Ministry of Natural Resources, 102616 Beijing, ChinaBeijing University of Civil Engineering and Architecture, 102616, Beijing, ChinaKey Laboratory for Urban Spatial Informatics of Ministry of Natural Resources, 102616 Beijing, ChinaBeijing University of Civil Engineering and Architecture, 102616, Beijing, ChinaKey Laboratory for Urban Spatial Informatics of Ministry of Natural Resources, 102616 Beijing, ChinaBeijing University of Civil Engineering and Architecture, 102616, Beijing, ChinaKey Laboratory for Urban Spatial Informatics of Ministry of Natural Resources, 102616 Beijing, ChinaBeijing University of Civil Engineering and Architecture, 102616, Beijing, ChinaKey Laboratory for Urban Spatial Informatics of Ministry of Natural Resources, 102616 Beijing, ChinaBeijing University of Civil Engineering and Architecture, 102616, Beijing, ChinaKey Laboratory for Urban Spatial Informatics of Ministry of Natural Resources, 102616 Beijing, ChinaChina is a country prone to natural disasters, and roads are easily damaged in natural disasters. As the infrastructure of people's production and life and the lifeline of post-disaster rescue, roads play a very important role. There are many previous studies on geological disasters risk assessment, but few special researches on highway geological disasters risk assessment, especially quantitative risk assessment combined with remote sensing images. Therefore, the risk assessment of geological disasters along the road is of great significance for the prevention and control of geological disasters and the protection of life and property safety. Based on GF-6 data and other geographic data, this study used the comprehensive evaluation method to realize the geological disasters risk assessment of the Maoxian-Wenchuan section along the G213 line, and analysed and discussed the causes and spatial distribution of geological disasters along the G213 line. Our study presents several key findings, (1) The order of impact degree of each impact factor is road network density, soil erosion, slope, human activities, vegetation coverage, rainfall, and slope aspect, among them, the road network density factor plays a leading role, and the aspect factor is the least impact factor; (2) The geological disasters risk in the study area is divided into five categories: extremely low risk, low risk, medium risk, high risk, and extremely high risk. In general, the geological disasters risk of the research road section is relatively high, and the risk area division is consistent with the historical disaster point data. The research results can provide reference for the smooth development and implementation of road geological disasters risk assessment in the mountainous areas in southwestern China.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-3-W1-2022/163/2022/isprs-annals-X-3-W1-2022-163-2022.pdf |
| spellingShingle | X. Wang X. Wang X. Zhang X. Zhang M. Li M. Li Z. Zhou Z. Zhou B. Chen B. Chen H. Xie H. Xie RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATA ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATA |
| title_full | RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATA |
| title_fullStr | RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATA |
| title_full_unstemmed | RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATA |
| title_short | RISK ASSESSMENT OF GEOLOGICAL DISASTERS ALONG THE G213 MAOXIAN-WENCHUAN SECTION BASED ON GF-6 DATA |
| title_sort | risk assessment of geological disasters along the g213 maoxian wenchuan section based on gf 6 data |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-3-W1-2022/163/2022/isprs-annals-X-3-W1-2022-163-2022.pdf |
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