Articles | Volume 14, issue 5
https://doi.org/10.5194/nhess-14-1257-2014
© Author(s) 2014. 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-14-1257-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief communication
| 
23 May 2014
Brief communication |
| 23 May 2014
Brief Communication: Landslides triggered by the Ms = 7.0 Lushan earthquake, China
X. L. Chen
Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing, 100029, China
L. Yu
Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing, 100029, China
M. M. Wang
Earthquake Administration of Sichuan Province, Chengdu, 610041, China
C. X. Lin
Beijing Institute of Geology, Beijing, 100120, China
C. G. Liu
China Earthquake Networks Center, Beijing, 100045, China
J. Y. Li
Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing, 100029, China
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Cited
24 citations as recorded by crossref.
- Topographic Controls on the Distribution of Coseismic Landslides: A Case Study Using the Coefficient of Variation of the 2014 Ludian, Yunnan, China, Ms6.5 Earthquake X. Chen et al. https://doi.org/10.2113/2022/6678652
- Assessing Landslide Susceptibility by Coupling Spatial Data Analysis and Logistic Model A. Ganga et al. https://doi.org/10.3390/su14148426
- Analysis of spatial distribution of landslides triggered by the Ms 6.8 Luding earthquake in China on September 5, 2022 Z. Xiao et al. https://doi.org/10.1186/s40677-023-00233-w
- Earthquake-triggered mass movements in Albania Y. Muceku et al. https://doi.org/10.1007/s40328-021-00350-8
- Landslides triggered by the 12 January 2010 Port-au-Prince, Haiti, Mw = 7.0 earthquake: visual interpretation, inventory compiling, and spatial distribution statistical analysis C. Xu et al. https://doi.org/10.5194/nhess-14-1789-2014
- Landslide-prone area retrieval and earthquake-inducing hazard probability assessment based on InSAR analysis L. Zou et al. https://doi.org/10.1007/s10346-023-02079-7
- SAR interferometry and optical remote sensing for analysis of co-seismic deformation, source characteristics and mass wasting pattern of Lushan (China, April 2013) earthquake J. Mathew et al. https://doi.org/10.1016/j.jag.2014.10.005
- Role of geological structure in the occurrence of earthquake-induced landslides, the case of the 2007 Mid-Niigata Offshore Earthquake, Japan B. Has & T. Nozaki https://doi.org/10.1016/j.enggeo.2014.09.006
- Co-seismic surface rupture of Papatea fault and reactivation mechanism of the Clarence landslide during the 2016 Mw7.8 Kaikoura earthquake, New Zealand P. Guo et al. https://doi.org/10.1007/s10064-018-1338-y
- Landslides triggered by the 22 July 2013 Minxian–Zhangxian, China, Mw 5.9 earthquake: Inventory compiling and spatial distribution analysis C. Xu et al. https://doi.org/10.1016/j.jseaes.2014.06.014
- Landslides triggered by the 20 April 2013 Lushan earthquake, Sichuan Province, China C. Tang et al. https://doi.org/10.1016/j.enggeo.2014.12.004
- Landslide susceptibility assessment of the region affected by the 25 April 2015 Gorkha earthquake of Nepal A. Regmi et al. https://doi.org/10.1007/s11629-015-3688-2
- Debris flows in the Lushan earthquake area: formation characteristics, rainfall conditions, and evolutionary tendency X. Guo et al. https://doi.org/10.1007/s11069-021-04559-2
- A new classification of earthquake-induced landslide event sizes based on seismotectonic, topographic, climatic and geologic factors H. Havenith et al. https://doi.org/10.1186/s40677-016-0041-1
- Loess Landslide Inventory Map Based on GF-1 Satellite Imagery W. Sun et al. https://doi.org/10.3390/rs9040314
- Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides L. Lombardo et al. https://doi.org/10.1029/2019JF005056
- Landslides triggered by the 20 April 2013 Lushan, China, Mw 6.6 earthquake from field investigations and preliminary analyses C. Xu et al. https://doi.org/10.1007/s10346-014-0546-1
- Prediction of highway blockage caused by earthquake-induced landslides for improving earthquake emergency response J. An et al. https://doi.org/10.1007/s11069-015-1859-7
- An Infinite Slope Model Considering Unloading Joints for Spatial Evaluation of Coseismic Landslide Hazards Triggered by a Reverse Seismogenic Fault: A Case Study of the 2013 Lushan Earthquake G. Li et al. https://doi.org/10.3390/su16010138
- Analysis of the disaster characteristics and emergency response of the Jiuzhaigou earthquake W. Wang et al. https://doi.org/10.5194/nhess-18-1771-2018
- Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China: Control of Seismic Landslide Susceptibility X. Chen et al. https://doi.org/10.3390/ijgi9040198
- Study on Geomagnetic Observations Associated With Three Major Earthquakes in Southwest China Through a Novel Deep Learning Framework Z. Yu et al. https://doi.org/10.1109/TGRS.2024.3411705
- Database and spatial distribution of landslides triggered by the Lushan, China Mw 6.6 earthquake of 20 April 2013 C. Xu et al. https://doi.org/10.1016/j.geomorph.2015.07.002
- Interactive statistical analysis of predisposing factors for earthquake-triggered landslides: a case study of the 2013 Lushan, China Ms7.0 earthquake L. Liu et al. https://doi.org/10.1007/s12665-014-3758-8
24 citations as recorded by crossref.
- Topographic Controls on the Distribution of Coseismic Landslides: A Case Study Using the Coefficient of Variation of the 2014 Ludian, Yunnan, China, Ms6.5 Earthquake X. Chen et al. https://doi.org/10.2113/2022/6678652
- Assessing Landslide Susceptibility by Coupling Spatial Data Analysis and Logistic Model A. Ganga et al. https://doi.org/10.3390/su14148426
- Analysis of spatial distribution of landslides triggered by the Ms 6.8 Luding earthquake in China on September 5, 2022 Z. Xiao et al. https://doi.org/10.1186/s40677-023-00233-w
- Earthquake-triggered mass movements in Albania Y. Muceku et al. https://doi.org/10.1007/s40328-021-00350-8
- Landslides triggered by the 12 January 2010 Port-au-Prince, Haiti, Mw = 7.0 earthquake: visual interpretation, inventory compiling, and spatial distribution statistical analysis C. Xu et al. https://doi.org/10.5194/nhess-14-1789-2014
- Landslide-prone area retrieval and earthquake-inducing hazard probability assessment based on InSAR analysis L. Zou et al. https://doi.org/10.1007/s10346-023-02079-7
- SAR interferometry and optical remote sensing for analysis of co-seismic deformation, source characteristics and mass wasting pattern of Lushan (China, April 2013) earthquake J. Mathew et al. https://doi.org/10.1016/j.jag.2014.10.005
- Role of geological structure in the occurrence of earthquake-induced landslides, the case of the 2007 Mid-Niigata Offshore Earthquake, Japan B. Has & T. Nozaki https://doi.org/10.1016/j.enggeo.2014.09.006
- Co-seismic surface rupture of Papatea fault and reactivation mechanism of the Clarence landslide during the 2016 Mw7.8 Kaikoura earthquake, New Zealand P. Guo et al. https://doi.org/10.1007/s10064-018-1338-y
- Landslides triggered by the 22 July 2013 Minxian–Zhangxian, China, Mw 5.9 earthquake: Inventory compiling and spatial distribution analysis C. Xu et al. https://doi.org/10.1016/j.jseaes.2014.06.014
- Landslides triggered by the 20 April 2013 Lushan earthquake, Sichuan Province, China C. Tang et al. https://doi.org/10.1016/j.enggeo.2014.12.004
- Landslide susceptibility assessment of the region affected by the 25 April 2015 Gorkha earthquake of Nepal A. Regmi et al. https://doi.org/10.1007/s11629-015-3688-2
- Debris flows in the Lushan earthquake area: formation characteristics, rainfall conditions, and evolutionary tendency X. Guo et al. https://doi.org/10.1007/s11069-021-04559-2
- A new classification of earthquake-induced landslide event sizes based on seismotectonic, topographic, climatic and geologic factors H. Havenith et al. https://doi.org/10.1186/s40677-016-0041-1
- Loess Landslide Inventory Map Based on GF-1 Satellite Imagery W. Sun et al. https://doi.org/10.3390/rs9040314
- Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides L. Lombardo et al. https://doi.org/10.1029/2019JF005056
- Landslides triggered by the 20 April 2013 Lushan, China, Mw 6.6 earthquake from field investigations and preliminary analyses C. Xu et al. https://doi.org/10.1007/s10346-014-0546-1
- Prediction of highway blockage caused by earthquake-induced landslides for improving earthquake emergency response J. An et al. https://doi.org/10.1007/s11069-015-1859-7
- An Infinite Slope Model Considering Unloading Joints for Spatial Evaluation of Coseismic Landslide Hazards Triggered by a Reverse Seismogenic Fault: A Case Study of the 2013 Lushan Earthquake G. Li et al. https://doi.org/10.3390/su16010138
- Analysis of the disaster characteristics and emergency response of the Jiuzhaigou earthquake W. Wang et al. https://doi.org/10.5194/nhess-18-1771-2018
- Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China: Control of Seismic Landslide Susceptibility X. Chen et al. https://doi.org/10.3390/ijgi9040198
- Study on Geomagnetic Observations Associated With Three Major Earthquakes in Southwest China Through a Novel Deep Learning Framework Z. Yu et al. https://doi.org/10.1109/TGRS.2024.3411705
- Database and spatial distribution of landslides triggered by the Lushan, China Mw 6.6 earthquake of 20 April 2013 C. Xu et al. https://doi.org/10.1016/j.geomorph.2015.07.002
- Interactive statistical analysis of predisposing factors for earthquake-triggered landslides: a case study of the 2013 Lushan, China Ms7.0 earthquake L. Liu et al. https://doi.org/10.1007/s12665-014-3758-8
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