Articles

 

Boletín de la Sociedad Geológica Mexicana

Volumen 66, núm. 2, 2014, p. 343-354

Inventario multitemporal, análisis de susceptibilidad y estimación de volumen de deslizamientos en el flanco SW del volcán Pico de Orizaba, Puebla-Veracruz

Gabriel Legorreta Paulín1,*, Marcus Bursik2, Pouget Solene2, José Lugo Hubp3,

Luis Mario Paredes Mejía4, Fernando Aceves Quesada3
1
Instituto de Geografía, Laboratorio de Análisis Geoespacial, Ciudad Universitaria, Del. Coyoacán, 04510, México D.F.
2 Department of Geology, University at Buffalo, SUNY Buffalo, NY 14260.
3 Instituto de Geografía, Departamento de Geografía Física, Universidad Nacional Autónoma de México, Ciudad Universitaria, Del. Coyoacán, 04510, México D.F.
4 California Department of Transportation (CALTRANS).

* This email address is being protected from spambots. You need JavaScript enabled to view it. ; This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

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.

Keywords: Landslides, SIG, susceptibility analysis, Pico de Orizaba volcano.


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