Multi-temporal inventory, susceptibility analysis, and volumen estimations for landslides on the SW flank of the Pico de Orizaba volcano, Puebla-Veracruz
Por:
Paulín G.L., Bursik M., Solene P., Hubp J.L., Meji´a L.M.P., Quesada F.A.
Publicada:
1 ene 2014
Categoría:
Earth and Planetary Sciences (miscellaneous)
Resumen:
This paper provides an overview of the ongoing research from the
Institute of Geography, UNAM, that seeks to create a comprehensive
methodology for the development of a multi-temporal mapping inventory,
susceptibility, and landslide volume estimation by using Geographic
Information Systems (GIS). The methodology is established for volcanic
terrains where shallow landslides and debris flows are common along the
slopes and fluvial systems of volcanoes. The Rio-Chiquito-Barranca del
Muerto watershed on the southwestern flank of Pico de Orizaba volcano
was selected as a case study to characterize the areas that are prone to
slope instability in volcanic terrains. Landslide occurrence was
determined through a landslide inventory created from multitemporal
aerial photos and fieldwork. In this study, landslide susceptibility was
modeled using a cartographic-hydrologic model (Stability Index Mapping -
SINMAP) and a statistical model (Multiple Logistic Regression - MLR).
Both models were integrated within LOGISNET (developed in Arc Macro
Language (AML) using ArcInfo GIS software). The implementation showed
that both models have a moderate degree of agreement with the landslide
inventory. MLR was preferred for further analysis because of its
flexibility to include other variables. Shallow landslides were selected
to estimate the volume of material delivered by the landslides to the
main stream channel. The area and volume of individual shallow
landslides were obtained in the field and through the landslide
inventory database to establish an empirical area-volume relationship.
The relationship was used to establish a power law in order to estimate
the total landslide volume delivered. The results are important in
understanding the long-term evolution of the fluvial system on the
southwestern flank of Pico de Orizaba, and support the development of a
methodology for landslide inventories, landslide susceptibility, and
landslide volume estimation in volcanic terrains.
Filiaciones:
Bursik M.:
Department of Geology, University at Buffalo, SUNY Buffalo, NY 14260, United States
Solene P.:
Department of Geology, University at Buffalo, SUNY Buffalo, NY 14260, United States
Hubp J.L.:
Instituto de Geografi´a, Departamento de Geografi´a Fi´sica, Universidad Nacional Auto´noma de Me´xico, Ciudad Universitaria, Del. Coyoaca´n, Me´xico D.F., 04510, Mexico
Meji´a L.M.P.:
California Department of Transportation (CALTRANS), United States
Quesada F.A.:
Instituto de Geografi´a, Departamento de Geografi´a Fi´sica, Universidad Nacional Auto´noma de Me´xico, Ciudad Universitaria, Del. Coyoaca´n, Me´xico D.F., 04510, Mexico
Instituto de Geografi´a, Laboratorio de Ana´lisis Geoespacial, Ciudad Universitaria, Del. Coyoaca´n, Me´xico D.F., 04510, Mexico
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