Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Susceptibility assessment of earthquake-triggered landslides in El Salvador using logistic regression
Year:2008
Research Areas
  • Geology
Information
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 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.
International
Si
JCR
Si
Title
GEOMORPHOLOGY
ISBN
0169-555X
Impact factor JCR
1,854
Impact info
Volume
95
10.1016/j.geomorph.2007.06.001
Journal number
3
From page
172
To page
191
Month
MARZO
Ranking
Participants
  • Participante: José Antonio Malpica (Universida Alcalá de Henares)
  • Participante: Manuel Díaz (Servicio Nacional de Estudios Territoriales de El Salvador)
  • Autor: Maria Belen Benito Oterino (UPM)
  • Autor: María José García Rodríguez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ingeniería Sísmica: Dinámica de Suelos y Estructuras
  • Departamento: Ingeniería Topográfica y Cartografía
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