A dynamic Bayesian network-based model for evaluating rainfall-induced landslides-Reference-Cited by-同舟云学术

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A dynamic Bayesian network-based model for evaluating rainfall-induced landslides

Published:2018-01-15 Issue:3 Volume:78 Page:2069-2080
ISSN:1435-9529
Container-title:Bulletin of Engineering Geology and the Environment
language:en
Short-container-title:Bull Eng Geol Environ

Author:

Nie Wen,Feng Dan,Lohpaisankrit Worapong,Li Cheng,Yuan Ji,Chen Yulong

Funder

Opening Fund of State Key Laboratory of Geo-hazard Prevention and Geo-environment Protection

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology

Link

http://link.springer.com/article/10.1007/s10064-017-1221-2/fulltext.html

Reference46 articles.

1. Acharya G, De Smedt F, Long NT (2006) Assessing landslide hazard in GIS: a case study from Rasuwa, Nepal. Bull Eng Geol Env 65(1):99–107

2. Alvioli M, Guzzetti F, Rossi M (2014) Scaling properties of rainfall induced landslides predicted by a physically based model. Geomorphology 213(5):38–47

3. Ayalew L (1999) The effect of seasonal rainfall on landslides in the highlands of Ethiopia. Bull Eng Geol Env 58(1):9–19

4. Biondi G, Cascone E, Maugeri M, Motta E (2000) Seismic response of saturated cohesionless slopes. Soil Dyn Earthq Eng 20:209–215

5. Bogaard TA, Greco R (2016) Landslide hydrology: from hydrology to pore pressure. WIREs Water 3:439–459

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4. Model Test and Numerical Simulation of Slope Instability Process Induced by Rainfall;Water;2022-12-07

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