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

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 An improved method of Newmark analysis for mapping hazards of coseismic landslides

2020 ◽  
Vol 20 (3) ◽  
pp. 713-726
Author(s):  
Mingdong Zang ◽  
Shengwen Qi ◽  
Yu Zou ◽  
Zhuping Sheng ◽  
Blanca S. Zamora
Keyword(s):  
Factor Model ◽  
Area Under The Curve ◽  
The United States ◽  
United States Geological Survey ◽  
Certainty Factor ◽  
Permanent Displacement ◽  
Mapping Procedure ◽  
Coseismic Landslides ◽  
Ludian Earthquake ◽  
Improved Performance

Abstract. Coseismic landslides can destroy buildings, dislocate roads, sever pipelines, and cause heavy casualties. It is thus important but challenging to accurately map the hazards posed by coseismic landslides. Newmark's method is widely applied to assess the permanent displacement along a potential slide surface and model the coseismic response of slopes. This paper proposes an improved Newmark analysis for mapping the hazards of coseismic landslides by considering the roughness and effect of the size of the potential slide surfaces. This method is verified by data from a case study on the 2014 Mw 6.1 (the United States Geological Survey) Ludian earthquake in Yunnan Province, China. Permanent displacements due to the earthquake ranged from 0 to 122 cm. The predicted displacements were compared with a comprehensive inventory of landslides triggered by the Ludian earthquake to map the spatial variation in the hazards of coseismic landslides using the certainty factor model. The confidence levels of coseismic landslides indicated by the certainty factors ranged from −1 to 0.95. A hazard map of the coseismic landslide was generated based on the spatial distribution of values of the certainty factor. A regression curve relating the predicted displacement and the certainty factor was drawn, and can be applied to predict the hazards of coseismic landslides for any seismic scenario of interest. The area under the curve was used to compare the improved and the conventional Newmark analyses, and revealed the improved performance of the former. This mapping procedure can be used to predict the hazards posed by coseismic landslides, and provide guidelines for decisions regarding the development of infrastructure and post-earthquake reconstruction.

scholarly journals An improved method of Newmark analysis for mapping hazards of coseismic landslides

2019 ◽  
Author(s):  
Mingdong Zang ◽  
Shengwen Qi ◽  
Yu Zou ◽  
Zhuping Sheng ◽  
Blanca S. Zamora
Keyword(s):  
Factor Model ◽  
Area Under The Curve ◽  
Infrastructure Development ◽  
Improved Method ◽  
Permanent Displacement ◽  
Coseismic Landslides ◽  
Ludian Earthquake ◽  
Slide Surface ◽  
Improved Performance ◽  
Using Data

Abstract. Coseismic landslides have been responsible for destroyed buildings and structures, dislocated roads and bridges, cut off of pipelines and lifelines, and tens of thousands of deaths. Accurately mapping the hazards of coseismic landslides is an important and challenge work. Newmark's method is widely applied to assess the permanent displacement along a potential slide surface to determine the coseismic responses of the slope. This paper considers the roughness and size effect of the potential slide surface-unloading joint, and then presents an improved method of Newmark analysis for mapping hazard of coseismic landslides. The improved method is verified using data from a case study of the 2014 Mw 6.1 (USGS) Ludian earthquake in Yunnan Province, China. The permanent displacement yielded from this method range from 0 to 122 cm. Comparisons are made between the predicted displacements and a comprehensive inventory of landslides triggered by the Ludian earthquake to map the spatial variability using certainty factor model (CFM). Confidence levels of coseismic landslides indicated by certainty factors range from −1 to 0.95. A coseismic landslide hazard map is then produced based on the spatial distribution of the values of certainty factors. Area under the curve analysis is used to draw a comparison between the improved and conventional method of Newmark analysis, revealing the improved performance of the method presented in this paper. Such method can be applied to predict the hazard zone of the region and provide guidelines for making decisions regarding infrastructure development and post-earthquake reconstruction.

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