From typhoon rainfall to slope failure: optimizing susceptibility models and dynamic thresholds for landslide warnings in Zixing City, China

Xiao, Weifeng; Yao, Guangchong; Xiao, Zhenghui; Liu, Ge; Luo, Luguang; Cao, Yunjiang; Yin, Wei

doi:10.5194/nhess-26-611-2026

Articles | Volume 26, issue 1

https://doi.org/10.5194/nhess-26-611-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-26-611-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 1

Research article

|

29 Jan 2026

Research article |

| 29 Jan 2026

From typhoon rainfall to slope failure: optimizing susceptibility models and dynamic thresholds for landslide warnings in Zixing City, China

Weifeng Xiao, Guangchong Yao, Zhenghui Xiao, Ge Liu, Luguang Luo, Yunjiang Cao, and Wei Yin

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Cited articles

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Banfi, F. and De Michele, C.: Temporal clustering of precipitation driving landslides over the Italian Territory, Earths Future, 12, e2023EF003885, https://doi.org/10.1029/2023EF003885, 2024.

Bogaard, T. and Greco, R.: Invited perspectives: Hydrological perspectives on precipitation intensity-duration thresholds for landslide initiation: proposing hydro-meteorological thresholds, Nat. Hazards Earth Syst. Sci., 18, 31–39, https://doi.org/10.5194/nhess-18-31-2018, 2018.

Calvello, M. and Piciullo, L.: Assessing the performance of regional landslide early warning models: the EDuMaP method, Nat. Hazards Earth Syst. Sci., 16, 103–122, https://doi.org/10.5194/nhess-16-103-2016, 2016.

Chang, Z. L., Huang, J. S., Huang, F. M., Bhuyan, K., Meena, S. R., and Catani, F.: Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models, Gondwana Res., 117, 307–320, https://doi.org/10.1016/j.gr.2023.02.007, 2023.