Aplicação do modelo SHALSTAB na análise da suscetibilidade a escorregamentos na Bacia do Rio Pau D'Alho e Córrego da Divisa em Caraguatatuba (SP)

• Autor(a) principal: Santos, Tatiany Correia da Silva [UNESP]
• Data de Publicação: 2016
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/155486; http://www.athena.biblioteca.unesp.br/exlibris/bd/capelo/2017-06-06/000884845.pdf
• topic: Deslizamentos (Geologia); Modelos matemáticos; Mapeamento geologico; Caraguatatuba (SP)

The shallow landslides are frequent in the Serra do Mar and represent natural phenomena that present the greatest number of damages and victims in Brazil. In this way, the development of susceptibility maps is a tool that helps to prevent and reduce socioeconomic damages that these processes can cause. This characteristic, added with the low cost, favors the application of deterministic mathematical models, such as SHALSTAB (Shallow Landslide Stability Analysis), in regions that present high susceptibility to landslides in order to understand and characterize these processes. Considering this context, the main objective of this academic work was the analysis of the susceptibility to shallow translational landslides applied to two drainage basins located in the Serra do Mar. The stages of this work were divided in the elaboration of the Digital Elevation Model (DEM) and its respective by-products (slope map and contribution area map), scars map and their classification from the analysis of orthophotos dated 2012 and generation of 14 susceptibility maps based on geotechnical tests described by Wolle (1988) and Ferreira (2008). Topographic maps, as well as maps of susceptibility, were correlated with the scars map and analyzed by means of percentage of class frequency and scars concentration. In certain susceptibility scenarios (1B, 5, 6, 7, 9 and 10), an expressive agreement was found between landslides features and unstable classes. The results showed a strong influence of the resistance parameters of the soils, especially of the cohesion, since when these values were high, the susceptibility maps presented unconditionally stable areas that were increasingly expressive and vice versa. The low and zero values of cohesion resulted in an overestimation of the unstable areas, configuring scenario 7 as the result ... (Complete abstract electronic access below)