Landslide susceptibility evaluation in the Baiyu-Batang section of upper Jinsha River considering landslide activity

SHAO Weiwei; YANG Zhihua; WU Ruian; GUO Changbao; SHI Honglian; YU Pengfei; MAI Ximao

doi:10.12097/gbc.2023.11.034

2025 Vol. 44, No. 6

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SHAO Weiwei, YANG Zhihua, WU Ruian, GUO Changbao, SHI Honglian, YU Pengfei, MAI Ximao. 2025. Landslide susceptibility evaluation in the Baiyu-Batang section of upper Jinsha River considering landslide activity. Geological Bulletin of China, 44(6): 1076-1086. doi: 10.12097/gbc.2023.11.034

Citation:

SHAO Weiwei, YANG Zhihua, WU Ruian, GUO Changbao, SHI Honglian, YU Pengfei, MAI Ximao. 2025. Landslide susceptibility evaluation in the Baiyu-Batang section of upper Jinsha River considering landslide activity. Geological Bulletin of China, 44(6): 1076-1086. doi: 10.12097/gbc.2023.11.034

Landslide susceptibility evaluation in the Baiyu-Batang section of upper Jinsha River considering landslide activity

1.
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China
2.
Faculty of Engineering, China University of Geosciences (Wuhan), Wuhan 430074, Hubei, China
3.
State Key Laboratory of Resources and Environmental Information System, Beijing 100101, China
4.
China University of Geosciences (Beijing), Beijing 100083, China

Fund Project: Supported by the Opening Foundation of the State Key Laboratory of Resources and Environmental Information System, National Natural Science Foundation of China (No. 42277180), and China Geological Survey project (No. DD20221816)

More Information

Author Bio: SHAO Weiwei, male, born in 1997, master's degree, mainly engaged in geological hazard assessment; E−mail: sww97222@163.com
Corresponding author: YANG Zhihua, male, born in 1982, Ph.D., associate researcher, mainly engaged in geological hazard assessment; E−mail: yangzh99@163.com

Received Date: 25 November 2023

Revised Date: 13 January 2024

Publish Date: 15 June 2025

Abstract

Abstract

Objective
This paper optimizes landslide samples based on landslide activity to improve the accuracy of landslide susceptibility evaluation.
Methods
The terrain and landforms in the upper of Jinsha River are complex, with strong tectonic activity and the developed landslide disasters. The Baiyu−Batang section of the upper Jinsha River is selected as the key research area, and remote sensing interpretation, InSAR deformation detection, and field investigation techniques are used to identify and analyze landslide activity. All landslides were divided into two datasets: A (active landslides) and B (active landslides and inactive landslides). Eight factors, such as elevation, slope angle, slope direction, engineering geological units, distance to fault, seismic peak ground acceleration, distance to river and NDVI, were selected to complete the landslide susceptibility evaluation by weighted information model.
Results
The results show that the AUC based on A and B datasets are 0.855 and 0.810, respectively, indicating that satisfied landslide susceptibility results have been achieved. The very high and high landslide susceptibility is mainly distributed along the Jinsha River and Jiangqu River, and show an obvious band distribution trend along water systems. The middle landslide susceptibility is mainly distributed in the areas between the longitudinal valleys, and the low landslide susceptibility is mainly distributed in flat areas.
Conclusions
The accuracy of landslide susceptibility based on A dataset is higher than that of B dataset, and the identification ability of very high and high landslide susceptibility areas is relatively improved. So, landslide activity can effectively improve the landslide susceptibility accuracy, and is an important factor to be considered in the landslide susceptibility evaluation model. The proposed study ideas and methods provide an important reference for promoting landslide susceptibility evaluation in alpine gorge areas.
- landslide susceptibility /
- landslide activity /
- Jinsha River /
- weighted information model

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References

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