Articles | Volume 18, issue 3
https://doi.org/10.5194/nhess-18-969-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-18-969-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Mar 2018
Research article |
| 27 Mar 2018
A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale
Shaojie Zhang
Key Laboratory of Mountain Hazards and Earth Surface Process,
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences,
Chengdu 610041, China
Luqiang Zhao
CORRESPONDING AUTHOR
Public Meteorological Service Center, China Meteorological
Administration, Beijing 100081, China
Ricardo Delgado-Tellez
Nipe Sagua Baracoa Mountain Office, Ministry of Science, Technology
and Environment of Cuba, Guantanamo, Cuba
Hongjun Bao
National Meteorological Center, China Meteorological
Administration, Beijing 100081, China
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41 citations as recorded by crossref.
- Risk-averse rehabilitation decision framework for roadside slopes vulnerable to rainfall-induced geohazards A. Baral & M. Shahandashti 10.1186/s43065-022-00057-2
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- Effects of hysteretic soil water characteristic curves on the hydromechanical behaviour Y. Yang & H. Yeh 10.1007/s12040-023-02146-6
- Automatic identification of buildings vulnerable to debris flows in Sichuan Province, China, by GIS analysis and Deep Encoding Network methods L. Wei et al. 10.1111/jfr3.12830
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides G. Pecoraro & M. Calvello 10.1007/s10346-020-01599-w
- A GIS-physically-based emergency methodology for predicting rainfall-induced shallow landslide zonation A. Gutiérrez-Martín 10.1016/j.geomorph.2020.107121
- Quantify the effect of antecedent effective precipitation on rainfall intensity-duration threshold of debris flow S. Zhang et al. 10.1007/s10346-023-02066-y
- Estimation of rainfall threshold for the early warning of shallow landslides along National Highway-10 in Darjeeling Himalayas P. Mandal & S. Sarkar 10.1007/s11069-020-04407-9
- Physical Model Test on the Interface of Loess Fill Slope W. Tan et al. 10.3390/land11081372
- Model test: Infrasonic features of porous soil masses as applied to landslide monitoring S. Zhang et al. 10.1016/j.enggeo.2019.105454
- Cluster landslides and associated damage in the Dima Hasao district of Assam, India due to heavy rainfall in May 2022 P. Roy et al. 10.1007/s10346-022-01977-6
- Effects of plant roots on soil shear strength and shallow landslide proneness in an area of northern Italian Apennines M. Bordoni et al. 10.1007/s10064-020-01783-1
- Introducing SlideforMAP: a probabilistic finite slope approach for modelling shallow-landslide probability in forested situations F. van Zadelhoff et al. 10.5194/nhess-22-2611-2022
- Evaluate the Probability of Failure in Rainfall-Induced Landslides Using a Fuzzy Point Estimate Method Y. Yang & H. Yeh 10.1155/2019/3587989
- Using the meteorological early warning model to improve the prediction accuracy of water damage geological disasters around pipelines in mountainous areas B. Hong et al. 10.1016/j.scitotenv.2023.164334
- Applicability and performance of deterministic and probabilistic physically based landslide modeling in a data-scarce environment of the Colombian Andes R. Marin et al. 10.1016/j.jsames.2021.103175
- Sensitivity analysis of regional rainfall-induced landslide based on UAV photogrammetry and LSTM neural network L. Zhao et al. 10.1007/s11629-023-7991-z
- Analysis of Slope Failure Behaviour Based on Real-Time Measurement Using the X–MR Method . Park et al. 10.3390/jmse7100360
- GIS-Based Data Integration Approach for Rainfall-Induced Slope Failure Susceptibility Mapping in Clayey Soils A. Baral et al. 10.1061/(ASCE)NH.1527-6996.0000478
- Identifying critical combination of roadside slopes susceptible to rainfall-induced failures A. Baral & S. Shahandashti 10.1007/s11069-022-05343-6
- Prediction of the instability probability for rainfall induced landslides: the effect of morphological differences in geomorphology within mapping units K. Wang et al. 10.1007/s11629-022-7789-4
- Rainfall-induced landslides assessment in the Fengjie County, Three-Gorge reservoir area, China K. Wang & S. Zhang 10.1007/s11069-021-04691-z
- Development and validation of the terrain stability model for assessing landslide instability during heavy rain infiltration A. Gutiérrez-Martín et al. 10.5194/nhess-19-721-2019
- Physically-based landslide susceptibility analysis using Monte Carlo simulation in a tropical mountain basin R. Marin & Á. Mattos 10.1080/17499518.2019.1633582
- Landslide susceptibility mapping in the Adwa Volcanic Mountain Plugs, Northern Ethiopia: a comparative analysis of frequency ratio and analytical hierarchy process methods G. Berhane et al. 10.1080/19475705.2023.2281244
- Development of environmental contours from rainfall intensity and duration data for slopes X. Wu et al. 10.1007/s11069-022-05709-w
- A GIS-based probabilistic analysis model for rainfall-induced shallow landslides in mountainous areas C. Li et al. 10.1007/s12665-022-10562-y
- Stability Assessment of Shallow Soil Landslide and Activating Rainfall Threshold Z. Tan et al. 10.1061/NHREFO.NHENG-1961
- Major landslides in Kerala, India, during 2018–2020 period: an analysis using rainfall data and debris flow model N. Jain et al. 10.1007/s10346-021-01746-x
- A grid-based physical model to analyze the stability of slope unit S. Zhang et al. 10.1016/j.geomorph.2021.107887
- Topographical and geological variation of effective rainfall for debris-flow occurrence from a large-scale perspective S. Liu et al. 10.1016/j.geomorph.2020.107134
- A physics-based model to derive rainfall intensity-duration threshold for debris flow S. Zhang et al. 10.1016/j.geomorph.2019.106930
- A systematic review of prediction methods for emergency management D. Huang et al. 10.1016/j.ijdrr.2021.102412
- A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides Y. Zou & C. Zheng 10.3390/app12094333
- Probabilistic modeling of shallow landslide initiation using regional scale random fields J. Lizárraga & G. Buscarnera 10.1007/s10346-020-01438-y
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