Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-581-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-581-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Feb 2020
Research article |
| 26 Feb 2020
| 26 Feb 2020
Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China
Institute of Geophysics and Geomatics, China University of
Geosciences, Wuhan 430074, China
Institute of Geophysics and Geomatics, China University of
Geosciences, Wuhan 430074, China
Tsehaie Woldai
School of Geosciences, University of Witwatersrand, Johannesburg
2050, South Africa
Kunlong Yin
Engineering Faculty, China University of Geosciences, Wuhan
430074, China
Lei Gui
Engineering Faculty, China University of Geosciences, Wuhan
430074, China
Deying Li
Engineering Faculty, China University of Geosciences, Wuhan
430074, China
Juan Du
Three Gorges Research Center for Geohazards, China University of
Geosciences, Wuhan 430074, China
Chao Zhou
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
Yong Xu
Wuhan Centre of China Geological Survey, Wuhan 430205, China
Zhipeng Lian
Wuhan Centre of China Geological Survey, Wuhan 430205, China
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Cited
35 citations as recorded by crossref.
- Investigating the Effects of Landslides Inventory Completeness on Susceptibility Mapping and Frequency-Area Distributions: Case of Taounate Province, Northern Morocco R. Sahrane et al. 10.2139/ssrn.4144329
- Landslide susceptibility mapping using GIS Matrix Method and Frequency Ratio, application in the marly context of Moulay Yacoub Region, Morocco I. Obda et al. 10.1051/bsgf/2023016
- The SWADE model for landslide dating in time series of optical satellite imagery S. Fu et al. 10.1007/s10346-022-02012-4
- Landslide probability mapping by considering fuzzy numerical risk factor (FNRF) and landscape change for road corridor of Uttarakhand, India U. Sur et al. 10.1007/s10668-021-01226-1
- Probabilistic analysis of landslide hazard: considering the dependence between hazard components Q. Liu et al. 10.1080/10106049.2022.2089241
- Separating Landslide Source and Runout Signatures with Topographic Attributes and Data Mining to Increase the Quality of Landslide Inventory J. Lai 10.3390/app10196652
- Risk Assessment and Control for Geohazards at Multiple Scales: An Insight from the West Han River of Gansu Province in China Z. Ye et al. 10.3390/w16131764
- The 21 July 2020 Shaziba landslide in China: Results from multi-source satellite remote sensing W. Wang et al. 10.1016/j.rse.2023.113669
- Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping M. Adnan et al. 10.3390/rs12203347
- Using the Implementation Centric Evolving Climate Change Adaptation Process to bridge the gap between policy and action C. Wells et al. 10.3389/fclim.2023.1197027
- A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP Ş. Bediroğlu 10.31466/kfbd.1446997
- Post-failure analysis of landslide blocking river using the two-phase double-point material point method: a case of western Hubei, China W. Du et al. 10.1007/s10064-023-03122-6
- Probabilistic Analysis of the Landslide Hazard in Cold Regions: Considering Multiple Triggering Factors and Their Interdependence Q. Liu et al. 10.1007/s00024-022-03152-3
- Suggestion for a new deterministic model coupled with machine learning techniques for landslide susceptibility mapping D. Min & H. Yoon 10.1038/s41598-021-86137-x
- Methods of stabilization of mountain slopes near highways against landslides B. Salimova et al. 10.1051/e3sconf/202452501004
- Preface: Advances in extreme value analysis and application to natural hazards Y. Hamdi et al. 10.5194/nhess-21-1461-2021
- Landslide Hazard Prediction Based on UAV Remote Sensing and Discrete Element Model Simulation—Case from the Zhuangguoyu Landslide in Northern China G. Li et al. 10.3390/rs16203887
- Energy-Efficient Data Routing in Landslide-Prone Area Using Wireless Sensor Networks With Drone K. Karunanithy et al. 10.1109/JIOT.2023.3301955
- Multi-Scale Engineering Geological Zonation for Linear Projects in Mountainous Regions: A Case Study of National Highway 318 Chengdu-Shigatse Section Y. Li et al. 10.3390/rs15184619
- Quantitative risk assessment of road exposed to landslide: A novel framework combining numerical modeling and complex network theory S. Zhou et al. 10.1016/j.enggeo.2024.107794
- Investigating the effects of landslides inventory completeness on susceptibility mapping and frequency-area distributions: Case of Taounate province, Northern Morocco R. Sahrane et al. 10.1016/j.catena.2022.106737
- Unraveling the drivers of intensified landslide regimes in Western Ghats, India A. Yunus et al. 10.1016/j.scitotenv.2021.145357
- Landslides in Tijuana, Mexico: hazard assessment in an urban neighborhood A. Oliva González et al. 10.14483/22487638.17882
- Double-index rainfall warning and probabilistic physically based model for fast-moving landslide hazard analysis in subtropical-typhoon area T. Zeng et al. 10.1007/s10346-023-02187-4
- Economic Risk Assessment of Future Debris Flows by Machine Learning Method C. Qiu et al. 10.1007/s13753-024-00545-x
- Total probabilistic measure for the potential risk of regional roads exposed to landslides Q. Liu et al. 10.1016/j.ress.2022.108822
- Landslide risk of regional roads: Consider the road mileage of expected losses Q. Liu et al. 10.1016/j.trd.2023.103771
- Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be Z. Fang et al. 10.1016/j.jag.2023.103631
- Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area C. Zhou et al. 10.1007/s10346-021-01796-1
- Semi-quantitative landslide risk assessment of district Muzaffarabad, northwestern Himalayas, Pakistan M. Riaz et al. 10.1007/s00477-023-02462-9
- Assessment of landslide susceptibility, exposure, vulnerability, and risk in shahpur valley, eastern hindu kush G. Rahman et al. 10.3389/feart.2022.953627
- Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning H. Ishibashi 10.1080/17499518.2023.2288606
- Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery N. Gudino-Elizondo et al. 10.5194/nhess-22-523-2022
- Probabilistic landslide hazard and indicator-based risk assessment in a data-scarce Indian Himalayan terrain S. Das et al. 10.1007/s10064-024-03861-0
- A review of landslide acceptable risk and tolerable risk K. Sim et al. 10.1186/s40677-022-00205-6
35 citations as recorded by crossref.
- Investigating the Effects of Landslides Inventory Completeness on Susceptibility Mapping and Frequency-Area Distributions: Case of Taounate Province, Northern Morocco R. Sahrane et al. 10.2139/ssrn.4144329
- Landslide susceptibility mapping using GIS Matrix Method and Frequency Ratio, application in the marly context of Moulay Yacoub Region, Morocco I. Obda et al. 10.1051/bsgf/2023016
- The SWADE model for landslide dating in time series of optical satellite imagery S. Fu et al. 10.1007/s10346-022-02012-4
- Landslide probability mapping by considering fuzzy numerical risk factor (FNRF) and landscape change for road corridor of Uttarakhand, India U. Sur et al. 10.1007/s10668-021-01226-1
- Probabilistic analysis of landslide hazard: considering the dependence between hazard components Q. Liu et al. 10.1080/10106049.2022.2089241
- Separating Landslide Source and Runout Signatures with Topographic Attributes and Data Mining to Increase the Quality of Landslide Inventory J. Lai 10.3390/app10196652
- Risk Assessment and Control for Geohazards at Multiple Scales: An Insight from the West Han River of Gansu Province in China Z. Ye et al. 10.3390/w16131764
- The 21 July 2020 Shaziba landslide in China: Results from multi-source satellite remote sensing W. Wang et al. 10.1016/j.rse.2023.113669
- Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping M. Adnan et al. 10.3390/rs12203347
- Using the Implementation Centric Evolving Climate Change Adaptation Process to bridge the gap between policy and action C. Wells et al. 10.3389/fclim.2023.1197027
- A Comparison of Alternative GIS Data Model Methods for Landslide Susceptibility Mapping with XGBoost and SHAP Ş. Bediroğlu 10.31466/kfbd.1446997
- Post-failure analysis of landslide blocking river using the two-phase double-point material point method: a case of western Hubei, China W. Du et al. 10.1007/s10064-023-03122-6
- Probabilistic Analysis of the Landslide Hazard in Cold Regions: Considering Multiple Triggering Factors and Their Interdependence Q. Liu et al. 10.1007/s00024-022-03152-3
- Suggestion for a new deterministic model coupled with machine learning techniques for landslide susceptibility mapping D. Min & H. Yoon 10.1038/s41598-021-86137-x
- Methods of stabilization of mountain slopes near highways against landslides B. Salimova et al. 10.1051/e3sconf/202452501004
- Preface: Advances in extreme value analysis and application to natural hazards Y. Hamdi et al. 10.5194/nhess-21-1461-2021
- Landslide Hazard Prediction Based on UAV Remote Sensing and Discrete Element Model Simulation—Case from the Zhuangguoyu Landslide in Northern China G. Li et al. 10.3390/rs16203887
- Energy-Efficient Data Routing in Landslide-Prone Area Using Wireless Sensor Networks With Drone K. Karunanithy et al. 10.1109/JIOT.2023.3301955
- Multi-Scale Engineering Geological Zonation for Linear Projects in Mountainous Regions: A Case Study of National Highway 318 Chengdu-Shigatse Section Y. Li et al. 10.3390/rs15184619
- Quantitative risk assessment of road exposed to landslide: A novel framework combining numerical modeling and complex network theory S. Zhou et al. 10.1016/j.enggeo.2024.107794
- Investigating the effects of landslides inventory completeness on susceptibility mapping and frequency-area distributions: Case of Taounate province, Northern Morocco R. Sahrane et al. 10.1016/j.catena.2022.106737
- Unraveling the drivers of intensified landslide regimes in Western Ghats, India A. Yunus et al. 10.1016/j.scitotenv.2021.145357
- Landslides in Tijuana, Mexico: hazard assessment in an urban neighborhood A. Oliva González et al. 10.14483/22487638.17882
- Double-index rainfall warning and probabilistic physically based model for fast-moving landslide hazard analysis in subtropical-typhoon area T. Zeng et al. 10.1007/s10346-023-02187-4
- Economic Risk Assessment of Future Debris Flows by Machine Learning Method C. Qiu et al. 10.1007/s13753-024-00545-x
- Total probabilistic measure for the potential risk of regional roads exposed to landslides Q. Liu et al. 10.1016/j.ress.2022.108822
- Landslide risk of regional roads: Consider the road mileage of expected losses Q. Liu et al. 10.1016/j.trd.2023.103771
- Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be Z. Fang et al. 10.1016/j.jag.2023.103631
- Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area C. Zhou et al. 10.1007/s10346-021-01796-1
- Semi-quantitative landslide risk assessment of district Muzaffarabad, northwestern Himalayas, Pakistan M. Riaz et al. 10.1007/s00477-023-02462-9
- Assessment of landslide susceptibility, exposure, vulnerability, and risk in shahpur valley, eastern hindu kush G. Rahman et al. 10.3389/feart.2022.953627
- Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning H. Ishibashi 10.1080/17499518.2023.2288606
- Rapid assessment of abrupt urban mega-gully and landslide events with structure-from-motion photogrammetric techniques validates link to water resources infrastructure failures in an urban periphery N. Gudino-Elizondo et al. 10.5194/nhess-22-523-2022
- Probabilistic landslide hazard and indicator-based risk assessment in a data-scarce Indian Himalayan terrain S. Das et al. 10.1007/s10064-024-03861-0
- A review of landslide acceptable risk and tolerable risk K. Sim et al. 10.1186/s40677-022-00205-6
Latest update: 13 Dec 2024
Short summary
In this study, we conducted a more detailed semiquantitative landslide risk assessment at a community level and scale of 1 : 10 000. In this manner, the case study computed the loss of lives and properties for each slope. The proposed procedure proved to be more useful in complementing risk assessment on the small scale of 100 000 in western Hubei, China.
In this study, we conducted a more detailed semiquantitative landslide risk assessment at a...
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