A systematic assessment of regional landslide risk under typhoon rainfall: a case study of Taishun, Zhejiang, China in September 2016

To clarify the occurrence patterns and risk characteristics of typhoon-induced rainfall landslides, this study assessed landslide susceptibility in Taishun County, Zhejiang Province, and surrounding areas affected by Typhoon Meranti in September 2016. Based on a detailed inventory of 4,102 landslides, a susceptibility framework incorporating key topographic and rainfall-related factors was established using an automated machine learning approach. The results show that landslides are predominantly distributed at elevations of 400 ~ 800 m and slope gradients of 25°~40°, with frequent occurrences associated with cumulative rainfall of 160 ~ 180 mm. The optimal ensemble model achieved high predictive performance and demonstrated strong spatial agreement between predicted high-risk zones and observed landslide distributions. Factor contribution analysis indicates that accumulated rainfall, elevation, and slope are the primary controlling factors, with their interactions playing a critical role in landslide susceptibility. Overall, this study provides an effective and interpretable framework for understanding typhoon-triggered landslide mechanisms and supporting regional early warning and disaster mitigation efforts.

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Publication Details

Journal
Scientific Reports
Published
2026-03-27
DOI
https://doi.org/10.1038/s41598-026-46166-w
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
0.00
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article

A systematic assessment of regional landslide risk under typhoon rainfall: a case study of Taishun, Zhejiang, China in September 2016

K H Chen, Yinke Li, Wenquan Zhang, Chenchen Xie et al.
Scientific Reports
Landslides and related hazards
article

A systematic assessment of regional landslide risk under typhoon rainfall: a case study of Taishun, Zhejiang, China in September 2016

K H Chen, Yinke Li, Wenquan Zhang, Chenchen Xie, Saier Wu, X. Xu, Zhiwen Zheng, Chong Xu, Yu Huang
article en

Abstract

To clarify the occurrence patterns and risk characteristics of typhoon-induced rainfall landslides, this study assessed landslide susceptibility in Taishun County, Zhejiang Province, and surrounding areas affected by Typhoon Meranti in September 2016. Based on a detailed inventory of 4,102 landslides, a susceptibility framework incorporating key topographic and rainfall-related factors was established using an automated machine learning approach. The results show that landslides are predominantly distributed at elevations of 400 ~ 800 m and slope gradients of 25°~40°, with frequent occurrences associated with cumulative rainfall of 160 ~ 180 mm. The optimal ensemble model achieved high predictive performance and demonstrated strong spatial agreement between predicted high-risk zones and observed landslide distributions. Factor contribution analysis indicates that accumulated rainfall, elevation, and slope are the primary controlling factors, with their interactions playing a critical role in landslide susceptibility. Overall, this study provides an effective and interpretable framework for understanding typhoon-triggered landslide mechanisms and supporting regional early warning and disaster mitigation efforts.

Scientific Reports
Tongji University (CN), Ministry of Natural Resources (CN), Southern University of Science and Technology (CN), China University of Geosciences (Beijing) (CN), Guangzhou Marine Geological Survey (CN), Ministry of Education (SA), National Institute of Hospital Administration (CN), Guangdong Province Environmental Monitoring Center (CN), China Institute of Geological Environmental Monitoring (CN), Xinjiang University (CN)
Climate action
Openalex Percentile: Top 4%
Landslides and related hazards
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