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Updated: Jul 30, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
The comprehensive risk assessment of the Tangjiashan landslide dam incident, China
Xingsheng Zhang1, Xing Chen2, Wujun Liu3
1North China University of Water Resources and Electric Power, Zhengzhou, 450046, China. xingsheng.zhang@ncwu.edu.cn.
Abstract:
Risk assessment for landslide dams is very important to avoid unanticipated landslide failure and calamity. Recognition of the risk of landslide dams associated with changing influencing factors is to identify the risk grade and provide early warning of oncoming failure, while quantitative risk analysis of landslide dams due to many influencing factors changing in spatiotemporal domain is currently lacking. We applied the model to analyze the risk level of the Tangjiashan landslide dam caused by the Wenchuan Ms 8.0 earthquake. The risk evaluation, obtained according to the analysis of the influencing factors located in the risk assessment grade criteria, clearly shows that the risk reaches a higher level at that moment. Our analysis shows that the risk level of landslide dams can be quantitatively analyzed with our assessment method. Our results suggest that the risk assessment system can be an effective measure to dynamically predict the risk level and provide a sufficient early warning of the oncoming hazard by analyzing the variables of influencing factors at different times.
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