Modeling and Assessment of Landslide Susceptibility of Dianchi Lake Watershed in Yunnan Plateau

Guangshun Bai, Xuemei Yang, Zhigang Kong (), Jieyong Zhu, Shitao Zhang () and Bin Sun
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Guangshun Bai: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
Xuemei Yang: Yunnan Gaozheng Geo-Exploration Co., Ltd., Kunming 650041, China
Zhigang Kong: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
Jieyong Zhu: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
Shitao Zhang: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
Bin Sun: Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China

Sustainability, 2023, vol. 15, issue 21, 1-26

Abstract: The nine plateau lake watersheds in Yunnan are important ecological security barriers in the southwest of China. The prevention and control of landslides are important considerations in the management of these watersheds. Taking the Dianchi Lake watershed as a typical research area, a comprehensive modeling and assessment process of landslide susceptibility was put forward. The comprehensive process was based on the weight of evidence (WoE) method, and many statistical techniques were integrated, such as cross-validation, multi-quantile cumulative Student’s comprehensive weight statistics, independence testing, step-by-step modeling, ROC analysis, and ROC-based susceptibility zoning. In this paper, fourteen models with high accuracy and validity were established, and the AUC reached 0.83–0.87 and 0.85–0.88, respectively. In addition, according to the susceptibility zoning map compiled via the optimal model, 80% of landslides can be predicted in the very-high- and high-susceptibility areas, which only account for 19.58% of the study area. Finally, this paper puts forward strategies for geological disaster prevention and ecological restoration deployment.

Keywords: landslide susceptibility assessment; weight of evidence (WoE) method; modeling; Dianchi Lake watershed; Yunnan Plateau (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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