Comprehensive regional-scale early warning of water-induced landslides in reservoir areas based on landslide susceptibility assessment

被引：0
|
作者：
Wang W. [1 ,2 ]
Yuan W. [1 ,2 ]
Zou L. [3 ]
Chen H. [4 ]
Cheng R. [4 ]
Xu W. [1 ,2 ]
机构：
[1] Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing
[2] Institute of Geotechnical Engineering, Hohai University, Nanjing
[3] School of Earth Science and Engineering, Hohai University, Nanjing
[4] Huaneng Lancang River Hydropower Inc., Kunming
来源：
Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering | 2022年 / 41卷 / 03期
关键词：
Comprehensive regional-scale early warning; Early warning indicators; Landslide susceptibility assessment; Single-scale early warning; Slope engineering; Water-induced landslides;
D O I：
10.13722/j.cnki.jrme.2021.0655
中图分类号：
学科分类号：
摘要：
The buffer zone within 2 km away from the main stream of a certain river in the HD and DHQ reservoirs, is taken as the research region to study the regional-scale early warning of water-induced landslides in the reservoir area. The preliminary landslide susceptibility factors in the research region are analyzed and screened through the chi-square test and the multicollinearity analysis. A final index system of landslide susceptibility in the research region is obtained, and landslide susceptibility assessment models are constructed based on different machine learning algorithms. The results show that the model based on random forest has the best accuracy of 98.00%. This model is applied to the whole research region and the landslide susceptibility mapping is completed. Besides, the rainfall and the reservoir water level, two main hydrodynamic inducing factors, are considered as early warning indicators and analyzed based on historical landslide data and monitoring data, and five early warning levels are put forward. Then a comprehensive water-induced landslide early warning model based on landslide susceptibility is established. The early warning zoning map of the research region on December 23, 2019 is obtained, and the early warning zoning map under the assumed most unfavorable conditions is also proposed based on the rainfall and the reservoir water level conditions of the research region in the past five years. © 2022, Science Press. All right reserved.
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页码：479 / 491
页数：12
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