Comparing landslide susceptibility models in the Río El Estado watershed on the SW flank of Pico de Orizaba volcano, Mexico
Por:
Legorreta Paulin, Gabriel, Pouget, Solene, Bursik, Marcus, Quesada, Fernando Aceves, Contreras, Trevor
Publicada:
1 ene 2016
Resumen:
A comprehensive study of landslide susceptibility models is carried out in the Río El Estado watershed on the SW flank of Pico de Orizaba volcano. A detailed multitemporal landslide inventory map in the watershed is used as a framework for the quantitative comparison of three landslide susceptibility models. The first landslide susceptibility map is created by using the Stability Index MAPping model. The second and the third landslide susceptibility maps are created using multiple logistic regression (MLR) and multicriteria evaluation models. The validation of the resulting susceptibility maps is performed by comparing them with an inventory map in a contingency table and through the area under the receiver operating characteristic curve. The results point out that the models tend to over-predict and have a moderate to high match with the landslide areas. In this research, MLR is preferred over the other two models because MLR obtains similar or better results with fewer significant variables. © 2015, Springer Science+Business Media Dordrecht.
Filiaciones:
Legorreta Paulin, Gabriel:
Univ Nacl Autonoma Mexico, Inst Geog, Lab Anal Geoespacial, Mexico City 04510, DF, Mexico
Pouget, Solene:
SUNY Buffalo, Dept Geol, Buffalo, NY 14260 USA
Bursik, Marcus:
SUNY Buffalo, Dept Geol, Buffalo, NY 14260 USA
Quesada, Fernando Aceves:
Univ Nacl Autonoma Mexico, Inst Geog, Dept Geog Fis, Mexico City 04510, DF, Mexico
Contreras, Trevor:
Washington State Dept Nat Resources, Forest Practices Div, Olympia, WA USA
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