Aplicación de herramientas SIG para la generación de un modelo de susceptibilidad frente a los movimientos de ladera en el sector Buenavista, Chaguarpamba

Abstract

Abstract: The main objective of this study is to identify, through field validation, the areas most vulnerable to landslides related to ground instability. To this end, a Geographic Information System (GIS) was used in conjunction with a bivariate statistical approach to develop a slope-movement susceptibility model in the Buenavista sector of Chaguarpamba, using the Topographic Humidity Index, Orientation (aspects), Lithology, Vegetation Cover, Slope, and Geomorphology as factorial maps. The analysis included the field identification of conditioning factors, such as the predominant lithology (silts, clays, mudstones) and the topographic characteristics of the area, 84.31% of which corresponds to mountainous terrain. In addition, the relationship between these variables and the data obtained from density maps and the shifted pixels in each factorial map was analyzed. The model's effectiveness and predictive capacity were evaluated using the ROC curve, yielding an AUC value of 0.71, indicating acceptable performance in predicting landslid.