Mapa de susceptibilidad a deslizamientos en el distrito de San Miguelito, Panamá, incorporando herramientas de sistema de información geográfica

Abstract

A landslide susceptibility map of San Miguelito District (Panama) was derived through the analysis and validation of a bivariatestatistical model, which was developed incorporating Geographic Information System tools (GIS). The dataset considered in this study were alandslide inventory map and parameters maps. For this purpose, the study by was started defining risk management concepts and their relationshipwith the suitable parameters that are involve in slope failures for each risk concept case, which in susceptibility matter maps were made of elevation,slope, curvature, and aspect. Also, proximity to roads and rivers mapping, and a geotechnical map of San Miguelito. In addition, utilizing all disasterregistered at the website Desinventar (2018), two landslide inventory maps were generated. One of them for the model and the other one for thevalidation process. With the generated dataset, was developed the landslide susceptibility index method (LSI) to derive the landslide susceptibilityin the study area, classified in seven levels of probability of landslide occurrence. The outcomes conclude that a 68.2% of San Miguelito shows amoderate to very high landslide susceptibility, where Corregimiento Arnulfo Arias is the most susceptible. According to the validating procedure,the landslide susceptibility map can predict in an 88% of probabilities that a high susceptibility zone in the study area does exist.