Identification of Landslides Susceptibility Areas Using the Shalstab Mathematical Model

Abstract

Natural hazards, occurring all over the World, may become a disaster when humans and nature interact. In Brazil, landslides, triggered by heavy rainfall, are the most common phenomenon that affects the population. Due to the economic and social losses, and deaths, the identification and monitoring risk areas are extremely important. Therefore, this study aims to identify the landslides susceptible areas in Britador neighborhood, located at Campos do Jordão city in São Paulo state. Using the Shalstab mathematical model, which analyze the slope stability, and satellite images from WorldView 2 sensor with Data Mining Techniques, were identified the most susceptible areas and the main characteristics of human occupation. To achieve this goal, three scenarios were simulated, changing the values of the input parameters of Shalstab. The results were consistent with the reality observed in the neighborhood and with old landslides scars. The satellite image allowed the identification of different types of human interaction in slope areas with high landslide susceptibility.