Articles | Volume 20, issue 3
https://doi.org/10.5194/nhess-20-713-2020
© 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-20-713-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Mar 2020
Research article |
| 04 Mar 2020
| 04 Mar 2020
An improved method of Newmark analysis for mapping hazards of coseismic landslides
Mingdong Zang
Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing, 100029, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Shengwen Qi
CORRESPONDING AUTHOR
Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing, 100029, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Yu Zou
Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing, 100029, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Zhuping Sheng
Texas A&M AgriLife Research Center at El Paso, El Paso, Texas
79927, USA
Blanca S. Zamora
Texas A&M AgriLife Research Center at El Paso, El Paso, Texas
79927, USA
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Cited
24 citations as recorded by crossref.
- The use of global versus region-specific data for the prediction of co-seismic landslides A. Lin & L. Wotherspoon 10.1016/j.enggeo.2023.107335
- Spatial distribution of near-fault landslides along Litang fault zones, eastern Tibetan Plateau Y. Qin et al. 10.1016/j.geomorph.2024.109189
- Probabilistic physical modelling and prediction of regional seismic landslide hazard in Uttarakhand state (India) K. Gupta et al. 10.1007/s10346-022-02013-3
- Optimizing seismic hazard inputs for co-seismic landslide susceptibility mapping: a probabilistic analysis K. Gupta & N. Satyam 10.1007/s11069-024-06517-0
- Modelling of Critical Acceleration for Regional Seismic Landslide Hazard Assessments by Finite Element Limit Analysis C. Li et al. 10.3389/feart.2022.830371
- Coseismic landslide hazard assessment for the future scenario earthquakes in the Kumaun Himalaya, India S. Kumar et al. 10.1007/s10064-021-02267-6
- Co-seismic landslide hazard assessment of Uttarakhand state (India) based on the modified Newmark model K. Gupta & N. Satyam 10.1016/j.jaesx.2022.100120
- Bibliometric analysis of landslide research based on the WOS database Y. Huang et al. 10.1016/j.nhres.2022.02.001
- Post-earthquake spatiotemporal evolution characteristics of typical landslide sources in the Jiuzhaigou meizoseismal area C. Huang et al. 10.1007/s10064-024-03724-8
- Predictive model of regional coseismic landslides’ permanent displacement considering uncertainty C. Xi et al. 10.1007/s10346-022-01918-3
- Rapid evaluation of earthquake-induced landslides by PGA and Arias intensity model: insights from the Luding Ms6.8 earthquake, Tibetan Plateau C. Li et al. 10.3389/feart.2023.1324773
- Factors controlling the spatial distribution of coseismic landslides triggered by the Mw 6.1 Ludian earthquake in China Y. Zou et al. 10.1016/j.enggeo.2021.106477
- A pseudo-3D methodology for regional-scale back-analysis of earthquake-induced landslides W. Gong et al. 10.1016/j.enggeo.2023.107277
- Traditional and modified Newmark displacement methods after the 2022 Ms 6.8 Luding earthquake (Eastern Tibetan Plateau) D. Djukem et al. 10.1007/s10346-023-02194-5
- Structural challenges for seismic stability of buildings in hilly areas P. Roshan & S. Pal 10.1007/s11356-022-23263-7
- Probabilistic assessment of seismically triggered landslide hazard for Uttarakhand (India) in the Western Himalayas K. Gupta et al. 10.1007/s11069-023-06023-9
- Toward a Plausible Methodology to Assess Rock Slope Instabilities at a Regional Scale D. Sotiriadis et al. 10.3390/geosciences13040098
- Enhancing post-seismic landslide susceptibility modeling in China through a time-variant approach: a spatio-temporal analysis X. Guo et al. 10.1080/17538947.2023.2265907
- Evaluating Coseismic Landslide Susceptibility Following the 2022 Luding Earthquake: A Comparative Analysis of Six Displacement Regression Models Integrating Epicentral and Seismogenic Fault Distances within the Permanent-Displacement Framework T. Liu et al. 10.3390/rs16142675
- Comparison of empirically-based and physically-based analyses of coseismic landslides: A case study of the 2016 Kumamoto earthquake Z. Chen & G. Wang 10.1016/j.soildyn.2023.108009
- 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. 10.3390/su16010138
- A probabilistic method for mapping earth fissure hazards M. Zang et al. 10.1038/s41598-021-87995-1
- Influence of critical acceleration model on assessments of potential earthquake–induced landslide hazards in Shimian County, Sichuan Province, China C. Li & L. Su 10.1007/s10346-020-01578-1
- Assessment of earthquake-induced landslide hazard zoning using the physics-environmental coupled Model Y. Zeng et al. 10.1007/s11629-023-7947-3
23 citations as recorded by crossref.
- The use of global versus region-specific data for the prediction of co-seismic landslides A. Lin & L. Wotherspoon 10.1016/j.enggeo.2023.107335
- Spatial distribution of near-fault landslides along Litang fault zones, eastern Tibetan Plateau Y. Qin et al. 10.1016/j.geomorph.2024.109189
- Probabilistic physical modelling and prediction of regional seismic landslide hazard in Uttarakhand state (India) K. Gupta et al. 10.1007/s10346-022-02013-3
- Optimizing seismic hazard inputs for co-seismic landslide susceptibility mapping: a probabilistic analysis K. Gupta & N. Satyam 10.1007/s11069-024-06517-0
- Modelling of Critical Acceleration for Regional Seismic Landslide Hazard Assessments by Finite Element Limit Analysis C. Li et al. 10.3389/feart.2022.830371
- Coseismic landslide hazard assessment for the future scenario earthquakes in the Kumaun Himalaya, India S. Kumar et al. 10.1007/s10064-021-02267-6
- Co-seismic landslide hazard assessment of Uttarakhand state (India) based on the modified Newmark model K. Gupta & N. Satyam 10.1016/j.jaesx.2022.100120
- Bibliometric analysis of landslide research based on the WOS database Y. Huang et al. 10.1016/j.nhres.2022.02.001
- Post-earthquake spatiotemporal evolution characteristics of typical landslide sources in the Jiuzhaigou meizoseismal area C. Huang et al. 10.1007/s10064-024-03724-8
- Predictive model of regional coseismic landslides’ permanent displacement considering uncertainty C. Xi et al. 10.1007/s10346-022-01918-3
- Rapid evaluation of earthquake-induced landslides by PGA and Arias intensity model: insights from the Luding Ms6.8 earthquake, Tibetan Plateau C. Li et al. 10.3389/feart.2023.1324773
- Factors controlling the spatial distribution of coseismic landslides triggered by the Mw 6.1 Ludian earthquake in China Y. Zou et al. 10.1016/j.enggeo.2021.106477
- A pseudo-3D methodology for regional-scale back-analysis of earthquake-induced landslides W. Gong et al. 10.1016/j.enggeo.2023.107277
- Traditional and modified Newmark displacement methods after the 2022 Ms 6.8 Luding earthquake (Eastern Tibetan Plateau) D. Djukem et al. 10.1007/s10346-023-02194-5
- Structural challenges for seismic stability of buildings in hilly areas P. Roshan & S. Pal 10.1007/s11356-022-23263-7
- Probabilistic assessment of seismically triggered landslide hazard for Uttarakhand (India) in the Western Himalayas K. Gupta et al. 10.1007/s11069-023-06023-9
- Toward a Plausible Methodology to Assess Rock Slope Instabilities at a Regional Scale D. Sotiriadis et al. 10.3390/geosciences13040098
- Enhancing post-seismic landslide susceptibility modeling in China through a time-variant approach: a spatio-temporal analysis X. Guo et al. 10.1080/17538947.2023.2265907
- Evaluating Coseismic Landslide Susceptibility Following the 2022 Luding Earthquake: A Comparative Analysis of Six Displacement Regression Models Integrating Epicentral and Seismogenic Fault Distances within the Permanent-Displacement Framework T. Liu et al. 10.3390/rs16142675
- Comparison of empirically-based and physically-based analyses of coseismic landslides: A case study of the 2016 Kumamoto earthquake Z. Chen & G. Wang 10.1016/j.soildyn.2023.108009
- 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. 10.3390/su16010138
- A probabilistic method for mapping earth fissure hazards M. Zang et al. 10.1038/s41598-021-87995-1
- Influence of critical acceleration model on assessments of potential earthquake–induced landslide hazards in Shimian County, Sichuan Province, China C. Li & L. Su 10.1007/s10346-020-01578-1
1 citations as recorded by crossref.
Latest update: 13 Dec 2024
Short summary
Coseismic landslides often cause loss of life and property damage. Accurately mapping hazards is very important and challenging work. This paper considers the roughness and size effect of the potential sliding surface unloading joint and then presents an improved method of Newmark analysis for mapping hazards of coseismic landslides. The approach is verified using the Mw 6.1 Ludian earthquake in 2014 and compared with a conventional Newmark analysis using area under the curve analysis.
Coseismic landslides often cause loss of life and property damage. Accurately mapping hazards is...
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