Assessment of Landslides Triggered by Earthquakes Based on the Combination of Peak Ground Motion and Critical Acceleration Analysis

Chen, Xiaoli; Liu, Chunguo

doi:10.1007/978-3-319-93136-4_15

Cited by 1 publication

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chen et al (2014) investigated landslide areas associated with critical accelerations to determine PGA for the 2008 Wenchuan earthquake in China and showed that critical acceleration is a reliable criterion for assessing slope stability. Xiaoli and Chunguo (2019) analyzed the slope stability for the 2014 Ludian earthquake in China and showed that Newmark's critical acceleration and PGA could be used to estimate accurate ETL locations. Similarly, Chen et al (2020) concluded that it is possible to quickly evaluate ETL by comparing critical acceleration and PGA.…”

Section: F Smentioning

confidence: 99%

“…The model shortcomings were attributed to large cell sizes in the digital elevation model (90 m), aspects of the ground motion spectra that PGA does not capture, and lack of spatial variability in surface material strength. Other studies have used critical acceleration, instead of Newmark's displacement, to analyze the terrain's susceptibility to ETL (Chen et al, 2014;Xiaoli and Chunguo, 2019;Chen et al, 2020). Chen et al (2014) compared the landslide distribution triggered by the 2008 Wenchuan earthquake with a critical acceleration map and found good correspondence with the actual landslide locations.…”

Section: Introductionmentioning

confidence: 99%

“…Chen et al (2014) compared the landslide distribution triggered by the 2008 Wenchuan earthquake with a critical acceleration map and found good correspondence with the actual landslide locations. An ETL susceptibility map can be easily prepared from a probable PGA map using the critical acceleration concept (Xiaoli and Chunguo, 2019). But to prepare a map using Newmark's displacement method, earthquake acceleration-time records are needed, which are often not available at the location of landslide-affected areas, and even less so before an earthquake disaster.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Rapid Terrain Assessment for Earthquake-Triggered Landslide Susceptibility With High-Resolution DEM and Critical Acceleration

et al. 2021

View full text Add to dashboard Cite

Earthquake ground motion often triggers landslides in mountainous areas. A simple, robust method to quickly evaluate the terrain’s susceptibility of specific locations to earthquake-triggered landslides is important for planning field reconnaissance and rescues after earthquakes. Different approaches have been used to estimate coseismic landslide susceptibility using Newmark’s sliding block model. This model requires an estimate of the landslide depth or thickness, which is a difficult parameter to estimate. We illustrate the use of Newmark sliding block’s critical acceleration for a glaciated valley affected by the 2015 Gorkha earthquake in Nepal. The landslide data came from comparing high-resolution pre- and post-earthquake digital elevation models (DEMs) derived from Spot 6/7 images. The areas where changes were detected provided an inventory of all the landslides triggered by the earthquake. The landslide susceptibility was modeled in a GIS environment using as inputs the pre-earthquake terrain and slope angles, the peak ground acceleration from the 2015 Gorkha earthquake, and a geological map. We exploit the depth information for the landslides (obtained by DEM difference) to apply the critical acceleration model. The spatial distribution of the predicted earthquake-triggered landslides matched the actual landslides when the assumed landslide thickness in the model is close to the median value of the actual landslide thickness (2.6 m in this case). The landslide predictions generated a map of landslide locations close to those observed and demonstrated the applicability of critical acceleration for rapidly creating a map of earthquake-triggered landslides.

show abstract

Section: F Smentioning

confidence: 99%