Remote sensing identification and susceptibility evaluation of landslide hazards in Wenchuan-Songpan section of National Highway 213

HUANG Yanqin; LI Weile; XU Zhou LI; Pengfei; TIE Yongbo

doi:10.19388/j.zgdzdc.2022.04.14

2022 Vol. 9, No. 4

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Article navigation > Geological Survey of China > 2022 > 9(4): 121-133

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HUANG Yanqin, LI Weile, XU Zhou LI, Pengfei, TIE Yongbo. 2022. Remote sensing identification and susceptibility evaluation of landslide hazards in Wenchuan-Songpan section of National Highway 213. Geological Survey of China, 9(4): 121-133. doi: 10.19388/j.zgdzdc.2022.04.14

Citation:

HUANG Yanqin, LI Weile, XU Zhou LI, Pengfei, TIE Yongbo. 2022. Remote sensing identification and susceptibility evaluation of landslide hazards in Wenchuan-Songpan section of National Highway 213. Geological Survey of China, 9(4): 121-133. doi: 10.19388/j.zgdzdc.2022.04.14

Remote sensing identification and susceptibility evaluation of landslide hazards in Wenchuan-Songpan section of National Highway 213

1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Sichuan Chengdu 610059, China;
2. Sichuan Emei Mountain 403 Construction Engineering Limited Liability Company, Sichuan Leshan, 614200, China;
3. Guiyang Engineering Corporation Limited of Power China, Guizhou Guiyang 550081, China;
4. Chengdu Geological Survey Center, China Geological Survey, Sichuan Chengdu 610081, China

More Information

Corresponding author: LI Weile, liweile08@mail.cdut.edu.cn

Received Date: 20 May 2022

Revised Date: 13 July 2022

Publish Date: 20 August 2022

Abstract

Abstract

The Wenchuan-Songpan section of National Highway 213 is located in a mountainous area with strong earthquakes, where the landslide disasters occurred frequently. The traffic in this area is interrupted every year due to landslide disasters, so it is urgent to identify the space distribution of landslide hazards along the line and evaluate the susceptibility. A total of 288 landslide hazards were identified by the optical remote sensing and InSAR integrated remote sensing technology, of which 27 deformation landslide hazards were detected by InSAR. The identified landslide hazards were set as evaluation samples, and 9 influences including elevation, slope, slope aspect, surface curvature, engineering geological rock group, normalized vegetation index (NDVI), distance from road, distance from river, and distance from fault were selected. Besides, the logistic regression model is used to evaluate the susceptibility of landslide hazards in highway corridors. The evaluation results can provide a reference for the prevention and control of landslide disasters in the Wenchuan-Songpan section of National Highway 213.
- National Highway 213 /
- landslide hazard /
- remote sensing recognition /
- logistic regression model /
- susceptibility assessment