A GIS-based tool for probabilistic physical modelling and prediction of landslides: GIS-FORM landslide susceptibility analysis in seismic areas-Reference-Cited by-同舟云学术

A GIS-based tool for probabilistic physical modelling and prediction of landslides: GIS-FORM landslide susceptibility analysis in seismic areas

Published:2022-05-05 Issue:9 Volume:19 Page:2213-2231
ISSN:1612-510X
Container-title:Landslides
language:en
Short-container-title:Landslides

Author:

Ji Jian^ORCID,Cui Hongzhi,Zhang Tong,Song Jian,Gao Yufeng

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s10346-022-01885-9.pdf

Reference53 articles.

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2. Baum RL, Savage WZ, Godt JW (2002) Trigrs—a fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis. US Geol Surv Open-File Rep 424:38

3. 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. US Geological Survey Reston, VA, USA

4. Chen L, Zhao C, Li B, He K, Ren C, Liu X, Liu D (2021) Deformation monitoring and failure mode research of mining-induced Jianshanying landslide in karst mountain area, China with Alos/Palsar-2 images. Landslides 18:2739–2750. https://doi.org/10.1007/s10346-021-01678-6

5. Chen X, Shan X, Wang M, Liu C, Han N (2020) Distribution pattern of coseismic landslides triggered by the 2017 Jiuzhaigou Ms 7.0 earthquake of China: control of seismic landslide susceptibility. ISPRS Int J Geo-Inf 9. https://doi.org/10.3390/ijgi9040198

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