Application of coupling physics–based model TRIGRS with random forest in rainfall-induced landslide-susceptibility assessment-Reference-Cited by-同舟云学术

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Application of coupling physics–based model TRIGRS with random forest in rainfall-induced landslide-susceptibility assessment

Published:2024-06-04 Issue:9 Volume:21 Page:2179-2193
ISSN:1612-510X
Container-title:Landslides
language:en
Short-container-title:Landslides

Author:

Yang Liu,Cui Yulong,Xu Chong,Ma Siyuan

Funder

National Natural Science Foundation of China

Natural Science Research Project of Guizhou Province

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10346-024-02276-y.pdf

Reference53 articles.

1. Alvioli M, Baum RL (2016) Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface. Environ Model Softw 81:122–135. https://doi.org/10.1016/j.envsoft.2016.04.002

2. Bao H, Liu L, Lan H et al (2024) Evolution of high-filling loess slope under long-term seasonal fluctuation of groundwater. CATENA 238:107898. https://doi.org/10.1016/j.catena.2024.107898

3. Baum RL, Savage WZ, Godt JW (2002) TRIGRS— a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis. U.S. Geological Survey Open-File Report 02–0424

4. Baum RL, Savage WZ, Godt JW (2008) TRIGRS: a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis, version 2.0[M]. Reston, VA, USA:US Geological Survey

5. Breiman L (2001) Random forests. Mach Learn 45:5–32. https://doi.org/10.1023/A:1010933404324

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