Preprints
https://doi.org/10.5194/nhess-2019-42
https://doi.org/10.5194/nhess-2019-42
22 Mar 2019
 | 22 Mar 2019
Status: this discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The manuscript was not accepted for further review after discussion.

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

Mingdong Zang, Shengwen Qi, Zhuping Sheng, Blanca S. Zamora, and Yu Zou

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. Newmark's method is widely applied to assess the permanent displacement along a potential slide surface to determine the coseismic responses of the slope. The Mw 6.1 (USGS) earthquake in Ludian, Yunnan Province, China in 2014 has caused widespread landslides and provided the ideal data sets to conduct a regional analysis of coseismic stability of slopes. The data sets include the topography, shear strength, and ground shaking of the study area. All of these data sets are digitized and rasterized at 30 m grid spacing using ArcGIS and combined in a dynamic slope model based on Newmark permanent-deformation analysis. The application of Barton model was then applied in the permanent-deformation analysis. According to a method of inexact reasoning, comparisons are made between the predicted displacements and a comprehensive inventory of landslides triggered by the Ludian earthquake to map the spatial variability in certainty factors. A coseismic landslide hazard map is then produced based on the spatial distribution of the values of certainty factors. Such map can be applied to predict the hazard zone of the region and provide guidelines for making decisions regarding infrastructure development and post-earthquake reconstruction.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Mingdong Zang, Shengwen Qi, Zhuping Sheng, Blanca S. Zamora, and Yu Zou
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Mingdong Zang, Shengwen Qi, Zhuping Sheng, Blanca S. Zamora, and Yu Zou
Mingdong Zang, Shengwen Qi, Zhuping Sheng, Blanca S. Zamora, and Yu Zou

Viewed

Total article views: 1,105 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
726 330 49 1,105 58 56
  • HTML: 726
  • PDF: 330
  • XML: 49
  • Total: 1,105
  • BibTeX: 58
  • EndNote: 56
Views and downloads (calculated since 22 Mar 2019)
Cumulative views and downloads (calculated since 22 Mar 2019)

Viewed (geographical distribution)

Total article views: 965 (including HTML, PDF, and XML) Thereof 963 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
Short summary
Coseismic landslides often cause great loss of lives and properties in the seismic zone. Accurately mapping the hazards is a very important and challenge work. This paper considers the roughness and size effect of the potential sliding surface-unloading joint, incorporates the seismic hazard analysis of the study area, and then presents an improved method of Newmark analysis for mapping hazards of coseismic landslides. The approach is well verified by Mw 6.1 Ludian earthquake in 2014.
Altmetrics