Articles | Volume 16, issue 2
https://doi.org/10.5194/nhess-16-483-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-483-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Feb 2016
Research article |
| 19 Feb 2016
Application and analysis of debris-flow early warning system in Wenchuan earthquake-affected area
D. L. Liu
Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
University of Chinese Academy of Sciences, Beijing, 100049, China
College of Software Engineering, Chengdu University of Information and Technology, Chengdu, 610225, China
S. J. Zhang
CORRESPONDING AUTHOR
Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
H. J. Yang
Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
L. Q. Zhao
Public Meteorological Service Center of CMA, China Meteorological Administration, Beijing, 100081, China
Y. H. Jiang
Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
D. Tang
College of Software Engineering, Chengdu University of Information and Technology, Chengdu, 610225, China
X. P. Leng
Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
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Cited
16 citations as recorded by crossref.
- Assessment of landslide susceptibility along the Araniko Highway in Poiqu/Bhote Koshi/Sun Koshi Watershed, Nepal Himalaya N. Nepal et al. https://doi.org/10.1016/j.pdisas.2019.100037
- A physics-based model to derive rainfall intensity-duration threshold for debris flow S. Zhang et al. https://doi.org/10.1016/j.geomorph.2019.106930
- Analysis of the formation mechanism of debris flows after earthquakes – A case study of the Legugou debris flow N. He et al. https://doi.org/10.3389/fevo.2022.1053687
- Quantify the effect of antecedent effective precipitation on rainfall intensity-duration threshold of debris flow S. Zhang et al. https://doi.org/10.1007/s10346-023-02066-y
- A Physics-Based Method for Delineating Homogeneous Channel Units in Debris Flow Channels X. Lei et al. https://doi.org/10.3390/w17233444
- Machine learning-based identification of potential debris flow catchments in the Wenchuan earthquake region D. Liu et al. https://doi.org/10.1007/s12145-025-01990-y
- Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. https://doi.org/10.1007/s10346-019-01169-9
- Changes in debris-flow susceptibility after the Wenchuan earthquake revealed by meteorological and hydro-meteorological thresholds P. Marino et al. https://doi.org/10.1016/j.catena.2021.105929
- A hydrology-process based method for correlating debris flow density to rainfall parameters and its application on debris flow prediction K. Long et al. https://doi.org/10.1016/j.jhydrol.2020.125124
- A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale S. Zhang et al. https://doi.org/10.5194/nhess-18-969-2018
- Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS S. Zhang et al. https://doi.org/10.3390/w14040524
- Handling Uncertainty in Models of Seismic and Postseismic Hazards: Toward Robust Methods and Resilient Societies B. MacGillivray https://doi.org/10.1111/risa.13663
- Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China S. Zhang et al. https://doi.org/10.5194/hess-28-2343-2024
- A Laboratory Experimental Study: An FBG-PVC Tube Integrated Device for Monitoring the Slip Surface of Landslides K. Wang et al. https://doi.org/10.3390/s17112486
- Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility A. Nonomura et al. https://doi.org/10.1007/s11629-018-5098-8
- A grid-based physical model to analyze the stability of slope unit S. Zhang et al. https://doi.org/10.1016/j.geomorph.2021.107887
16 citations as recorded by crossref.
- Assessment of landslide susceptibility along the Araniko Highway in Poiqu/Bhote Koshi/Sun Koshi Watershed, Nepal Himalaya N. Nepal et al. https://doi.org/10.1016/j.pdisas.2019.100037
- A physics-based model to derive rainfall intensity-duration threshold for debris flow S. Zhang et al. https://doi.org/10.1016/j.geomorph.2019.106930
- Analysis of the formation mechanism of debris flows after earthquakes – A case study of the Legugou debris flow N. He et al. https://doi.org/10.3389/fevo.2022.1053687
- Quantify the effect of antecedent effective precipitation on rainfall intensity-duration threshold of debris flow S. Zhang et al. https://doi.org/10.1007/s10346-023-02066-y
- A Physics-Based Method for Delineating Homogeneous Channel Units in Debris Flow Channels X. Lei et al. https://doi.org/10.3390/w17233444
- Machine learning-based identification of potential debris flow catchments in the Wenchuan earthquake region D. Liu et al. https://doi.org/10.1007/s12145-025-01990-y
- Application of hydrological modelling for temporal prediction of rainfall-induced shallow landslides N. Bezak et al. https://doi.org/10.1007/s10346-019-01169-9
- Changes in debris-flow susceptibility after the Wenchuan earthquake revealed by meteorological and hydro-meteorological thresholds P. Marino et al. https://doi.org/10.1016/j.catena.2021.105929
- A hydrology-process based method for correlating debris flow density to rainfall parameters and its application on debris flow prediction K. Long et al. https://doi.org/10.1016/j.jhydrol.2020.125124
- A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale S. Zhang et al. https://doi.org/10.5194/nhess-18-969-2018
- Improved Method of Defining Rainfall Intensity and Duration Thresholds for Shallow Landslides Based on TRIGRS S. Zhang et al. https://doi.org/10.3390/w14040524
- Handling Uncertainty in Models of Seismic and Postseismic Hazards: Toward Robust Methods and Resilient Societies B. MacGillivray https://doi.org/10.1111/risa.13663
- Investigation of the functional relationship between antecedent rainfall and the probability of debris flow occurrence in Jiangjia Gully, China S. Zhang et al. https://doi.org/10.5194/hess-28-2343-2024
- A Laboratory Experimental Study: An FBG-PVC Tube Integrated Device for Monitoring the Slip Surface of Landslides K. Wang et al. https://doi.org/10.3390/s17112486
- Curvature derived from LiDAR digital elevation models as simple indicators of debris-flow susceptibility A. Nonomura et al. https://doi.org/10.1007/s11629-018-5098-8
- A grid-based physical model to analyze the stability of slope unit S. Zhang et al. https://doi.org/10.1016/j.geomorph.2021.107887
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