Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake

Xiliu Yue; Shaohong Wu; Yunhe Yin; Jiangbo Gao; Jingyun Zheng

doi:10.1007/s13753-018-0182-9

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Article Navigation > International Journal of Disaster Risk Science > 2018 > 9(3): 392-406

Xiliu Yue, Shaohong Wu, Yunhe Yin, Jiangbo Gao, Jingyun Zheng. Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake[J]. International Journal of Disaster Risk Science, 2018, 9(3): 392-406. doi: 10.1007/s13753-018-0182-9

Citation:

Xiliu Yue, Shaohong Wu, Yunhe Yin, Jiangbo Gao, Jingyun Zheng. Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake[J]. International Journal of Disaster Risk Science, 2018, 9(3): 392-406. doi: 10.1007/s13753-018-0182-9

Citation:

Xiliu Yue, Shaohong Wu, Yunhe Yin, Jiangbo Gao, Jingyun Zheng. Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake[J]. International Journal of Disaster Risk Science, 2018, 9(3): 392-406. doi: 10.1007/s13753-018-0182-9

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Risk Identification of Seismic Landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake

doi: 10.1007/s13753-018-0182-9

1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Beijing 100101, China;
2 University of Chinese Academy of Sciences, Beijing 100101, China

Funds:

The authors would like to express sincere appreciation to the reviewers, the editors, and Dr. Yuming Wu for their valuable comments and suggestions, which were helpful in improving the article. This work was financially supported by the Pioneer Project of the Chinese Academy of Sciences (Grant No. XDA19040304), the National Key R&D Program of China (2017YFC150290402), and the Cultivate Project of Chinese Academy of Sciences (Grant No. TSYJS03), for which grateful appreciation is expressed.

Available Online: 2021-04-26

Abstract

Abstract

Geological disasters are a great threat to people’s lives and property. At present, it is difficult to evaluate quantitatively the cascading effects of regional geological disasters, and the development of new methods for such evaluation is much needed. In this study, the authors have developed a joint procedure that couples the Newmark model and the RockFall Analyst model based on a GIS platform in order to identify the impact of seismic landslides on roads. The new method effectively combines two processes—seismic landslide occurrence probability analysis and mass movement trajectory simulation. The permanent displacement derived from the Newmark model is used to identify potential source areas of landslides. Based on the RockFall Analyst model, the possible impact of mass movement on the roads can be simulated. To verify the reliability of the method, the landslides induced by the 2017 Jiuzhaigou Earthquake were taken as a case study. The results suggest that about 21.37% of the study area is at high risk of seismic landslides, and approximately 3.95 km of road sections are at extremely high risk of large landslides. The simulated area is consistent with the distribution of disasters revealed by post-earthquake remote sensing image interpretation and field investigation in existing studies. This indicates that the procedure, which joins the Newmark and RockFall models, has a high reliability for risk identification and can be applied to seismic landslide risk assessment and prediction in similar areas.
- China, Jiuzhaigou earthquake,
- Newmark model,
- Risk identification,
- RockFall analyst model,
- Seismic landslide

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References(53)

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