Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression

This work has evaluated the probability of earthquake-triggered landslide occurrence in the whole of El Salvador, with a Geographic Information System (GIS) and a logistic regression model. Slope gradient, elevation, aspect, mean annual precipitation, lithology, land use, and terrain roughness are t...

Full description

Saved in:
Bibliographic Details
Published in:Geomorphology (Amsterdam, Netherlands) Netherlands), 2008-03, Vol.95 (3), p.172-191
Main Authors: García-Rodríguez, M.J., Malpica, J.A., Benito, B., Díaz, M.
Format: Article
Language:English
Subjects:
Areal geology. Maps
Earth sciences
Earth, ocean, space
El Salvador
Engineering and environment geology. Geothermics
Exact sciences and technology
Geographical Information Systems (GIS)
Geologic maps, cartography
Landslide susceptibility
Logistic regression
Marine and continental quaternary
Natural hazards: prediction, damages, etc
Slope stability
Surficial geology
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This work has evaluated the probability of earthquake-triggered landslide occurrence in the whole of El Salvador, with a Geographic Information System (GIS) and a logistic regression model. Slope gradient, elevation, aspect, mean annual precipitation, lithology, land use, and terrain roughness are the predictor variables used to determine the dependent variable of occurrence or non-occurrence of landslides within an individual grid cell. The results illustrate the importance of terrain roughness and soil type as key factors within the model — using only these two variables the analysis returned a significance level of 89.4%. The results obtained from the model within the GIS were then used to produce a map of relative landslide susceptibility.
ISSN:0169-555X
1872-695X
DOI:10.1016/j.geomorph.2007.06.001