Coseismic landslides triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications for the seismogenic blind fault identification

Landslides ◽  
2018 ◽  
Vol 15 (5) ◽  
pp. 967-983 ◽  
Author(s):  
Xuanmei Fan ◽  
Gianvito Scaringi ◽  
Qiang Xu ◽  
Weiwei Zhan ◽  
Lanxin Dai ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Fault Identification ◽  
Jiuzhaigou Earthquake ◽  
Coseismic Landslides ◽  
Blind Fault

Coseismic landslides triggered by the 2018 Hokkaido, Japan (Mw 6.6), earthquake: spatial distribution, controlling factors, and possible failure mechanism

Landslides ◽  
2019 ◽  
Vol 16 (8) ◽  
pp. 1551-1566 ◽  
Author(s):  
Fengrui Wang ◽  
Xuanmei Fan ◽  
Ali P. Yunus ◽  
Srikrishnan Siva Subramanian ◽  
Andres Alonso-Rodriguez ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Failure Mechanism ◽  
Controlling Factors ◽  
Coseismic Landslides

scholarly journals Factors controlling the spatial distribution of coseismic landslides triggered by the Mw 6.1 Ludian earthquake in China

2022 ◽  
Vol 296 ◽  
pp. 106477
Author(s):  
Yu Zou ◽  
Shengwen Qi ◽  
Songfeng Guo ◽  
Bowen Zheng ◽  
Zhifa Zhan ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Coseismic Landslides ◽  
Ludian Earthquake

scholarly journals RAPID EXTRACTION OF LANDSLIDE AND SPATIAL DISTRIBUTION ANALYSIS AFTER JIUZHAIGOU Ms7.0 EARTHQUAKE BASED ON UAV IMAGES

2018 ◽  
Vol XLII-3 ◽  
pp. 685-690
Author(s):  
Q. S. Jiao ◽  
Y. Luo ◽  
W. H. Shen ◽  
Q. Li ◽  
X. Wang
Keyword(s):  
Spatial Distribution ◽  
Object Oriented ◽  
Aerial Images ◽  
Distribution Analysis ◽  
Visual Interpretation ◽  
Seismogenic Fault ◽  
Loss Assessment ◽  
Jiuzhaigou Earthquake ◽  
Disaster Loss ◽  
Scenic Spot

Jiuzhaigou earthquake led to the collapse of the mountains and formed lots of landslides in Jiuzhaigou scenic spot and surrounding roads which caused road blockage and serious ecological damage. Due to the urgency of the rescue, the authors carried unmanned aerial vehicle (UAV) and entered the disaster area as early as August 9 to obtain the aerial images near the epicenter. On the basis of summarizing the earthquake landslides characteristics in aerial images, by using the object-oriented analysis method, landslides image objects were obtained by multi-scale segmentation, and the feature rule set of each level was automatically built by SEaTH (Separability and Thresholds) algorithm to realize the rapid landslide extraction. Compared with visual interpretation, object-oriented automatic landslides extraction method achieved an accuracy of 94.3 %. The spatial distribution of the earthquake landslide had a significant positive correlation with slope and relief and had a negative correlation with the roughness, but no obvious correlation with the aspect. The relationship between the landslide and the aspect was not found and the probable reason may be that the distance between the study area and the seismogenic fault was too far away. This work provided technical support for the earthquake field emergency, earthquake landslide prediction and disaster loss assessment.

Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 MW 6.5 Jiuzhaigou Earthquake, China

2018 ◽  
Vol 30 (1) ◽  
pp. 206-217 ◽  
Author(s):  
Yingying Tian ◽  
Chong Xu ◽  
Siyuan Ma ◽  
Xiwei Xu ◽  
Shiyuan Wang ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Jiuzhaigou Earthquake
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