Zonificación de susceptibilidad a deslizamientos a través de Sistemas de Información Geográfica, en la zona sur de la parroquia rural Bellavista, cantón Espíndola, provincia de Loja.

This research project focuses on making a landslide susceptibility map for the southern area of Bellavista in Espindola, Loja. To do this, Geographic Information Systems (GIS) were used as a link tool for this type of mass removal phenomena. Therefore, it is necessary to generate thematic maps about the determining factors of land such as geomorphology, geology, slopes, coverage, current land use, and also precipitation. Even though determining factors are not usually analyzed in this type of study, they are taken into account in this research to reflect the reality in Bellavista regarding the influence that rain has on landslides. For generating the maps, it was necessary to collect information by doing fieldwork, analyze the data and compare it to previous studies, and do an inventory of landslides to correlate the results. To create the landslide susceptibility map, it has been decided to apply Thomas Saaty’s (1980) methodology of the Analytical Hierarchy Process (AHP) since it is a semi-quantitative multicriteria method that makes it possible to analyze and assess the variables and sub-variables related to landslide generation according to their degree of impact. Thus, this analysis resulted in the following hierarchical order of variables; geomorphology, geology, slopes, land coverage and use, and precipitation. After assigning the hierarchical order, the information is processed in ArcGIS 10.5, which is a software that makes a superposition of all the maps created by using the "Weighted Sum" tool, then the landslide susceptibility map is generated as a result. The results obtained reflect that 55.51% of the land presents moderate susceptibility, 29.22% high susceptibility, 11.71% low susceptibility, 2.64% very high susceptibility, and 0.92% of the land presents very low susceptibility. This was correlated to the inventory of landslides (9 in total); for which, it was found that most of them present high and very high susceptibility. For that reason, it was discovered that the efficiency of the evaluation process was 89.00%. Hence, it is considered that the studied area of land is under favorable and latent conditions for landslides to occur and risk the population.. • Keywords: GIS, landslides, susceptibility, determinig factors, geology, Saaty, Bellavista.

• Hoofdauteur: Sánchez Reinoso, Alex Paúl (author)
• Formaat: bachelorThesis
• Taal: spa
• Gepubliceerd in: 2022
• Onderwerpen: <SIG><DESLIZAMIENTOS><FACTORES CONDICIONANTES> <SAATY>< BELLAVISTA>.
• Online toegang: https://dspace.unl.edu.ec/jspui/handle/123456789/25006