Method for analysis of the susceptibility to mass movements applied to road works
Abstract
The execution of interventions in the road network for its expansion or improvement implies interference in several types of reliefs, including undulated and mountainous. Considering the great variety of physical and anthropic factors coexisting along the routes of interest and emphasizing the occurrence of extreme rainfall events, the need to previously evaluate the susceptibility to mass movement on the hillsides bordering the roads becomes increasingly higher. The existence of studies to identify unstable areas aims to prevent the occurrence of inconvenience to users due to traffic interruption, damage to infrastructure and even fatalities. In the present research, shallow translational and rotational landslides were analyzed for a stretch of the BR-280 highway, located in Corupá and São Bento south, in the north of Santa Catarina. For this, maps of the physical environment identification were surveyed, and laboratory tests were performed to obtain the soil resistance parameters. With the data obtained, the interpretation of translational and rotational landslides was made, through the SHALSTAB and Bishop models, respectively, which were spatially applied in a Geographic Information System (GIS). Thus, a semaphore pattern was adopted for the union of translational and rotational landslide results, which indicates, on the map, the areas of greater instability, which require more attention, leading to the application of preventive measures, such as containment and drainage works.
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Copyright (c) 2023 Marianna Monteiro de Oliveira , Miryan Sakamoto Yumi, Rafael Augusto dos Reis Higas, Orlando Martini de Oliveira, Amir Mattar Valente, Antonio Fortunato Marcon, Daniel Santana Lanza, Sandro Scarpelini Vieira, Soraia Cristina Ribas Fachini Schneider, Tairi Loreto IkedaAuthor(s)
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Marianna Monteiro de Oliveira
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Miryan Sakamoto Yumi
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Rafael Augusto dos Reis Higas
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Orlando Martini de Oliveira
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Amir Mattar Valente
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Antonio Fortunato Marcon
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Daniel Santana Lanza
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Sandro Scarpelini Vieira
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Soraia Cristina Ribas Fachini Schneider
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Tairi Loreto Ikeda