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

García Rodríguez, María José and Malpica Velasco, José Antonio and Benito Oterino, Belen and Díaz, Manuel (2008) Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression. Geomorphology, 95 (3). 172 - 191. ISSN 0169-555X

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Item Type:Article
Authors/Creators:
Creators NameCreators email (if known)
García Rodríguez, María José
Malpica Velasco, José Antonio
Benito Oterino, Belen
Díaz, Manuel
Title:Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression
Publisher:Elsevier
Journal/Publication Title:Geomorphology
Date:March 2008
Volume:95
Number:3
Department:Engineering Surveying and Mapping
Faculty:E.T.S.I. in Topography, Geodesy and Cartography (UPM)
Creative Commons licenses:Recognition - No derivative works - No commercial
Item ID:2325
Subjects:Geology
Civil Engineering and Construction

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Official URL: http://www.sciencedirect.com/science?_ob=PublicationURL&_cdi=5887&_pubType=J&_acct=C000047350&_version=1&_urlVersion=0&_userid=885385&md5=756bea00516ba653d51c5965873cc81d&jchunk=95#95

Abstract

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 nonoccurrence 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.

Item Type:Article
Uncontrolled Keywords:Logistic regression; Slope stability; Landslide susceptibility; Geographical Information Systems (GIS); El Salvador
Subjects:Geology
Civil Engineering and Construction
Código ID:2325
Depositado Por:Memoria Investigacion
Depositado el:24 Feb 2010 13:43
Last Modified:11 Oct 2010 13:27

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