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vol.33 issue1ANALYSIS OF SUSCEPTIBILITY OF DEBRIS FLOWS AT REGIONAL SCALE IN THE ARGENTINE PUNACraters in the Telsen area, Chubut Province, Argentina: Satellite imagery digital processing techniques applied to surficial geology mapping author indexsubject indexarticles search
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Serie correlación geológica

On-line version ISSN 1666-9479

Abstract

YEPEZ-RINCON, Fabiola Doracely et al. SIG MODEL FOR ZONATION OF SLOPE INSTABILITY HAZARD - CASE STUDY: METRO-POLITAN AREA OF MONTERREY, MEXICO. Ser. correl. geol. [online]. 2017, vol.33, n.1, pp.1-10. ISSN 1666-9479.

The number of landslide events and rockfalls have been increa-sing during the last decades in the Metropolitan Area of Monterrey (AMM) that had been considered as a vulnerable area to mass removal processes due to the accelerated urbanization process. The population, that has now 4 million inhabitants, continues to increase, as well as the pressure for new developments that modify the topography, changes the land use and therefore, interfere with the fows and course of r unoff, decreasing the levels of infltration and re-presenting the detonating factors for the generation of mass removal. For this project, slope instability was modeled using a GIS that incorporated the topographic factors (obtained from the digital elevation model, with a scale at 1 m, obtained from the classification of a LIDAR fight) as well as geotechnical and environmental factors. In addition, other official environmental factors available on-line were obtained such as soil use, surface hydrological cur rents, litho-log y, structural geological data and roads provided in vector for mat. The model was made through a linear sum of the reclassification of the layers, zonification the levels of danger by instability of slopes. The result is a mass-scale hazard map on the middle scale of the City of Monterrey, which ser ves as the basis for identifying areas where specific studies are required. The result is a map of (1: 10.000 - 1: 50.000) mass movement hazard of the City of Monterrey, which ser ves as the basis for identifying areas where specific studies are required.

Keywords : Digital models. Risks. Resources management. Remote sensing..

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