Identificação e avaliação de eventos extremos na bacia hidrográfica do Rio Piranga

• Ano de defesa: 2014
• Autor(a) principal: Salvador, Mateus da Mota
• Orientador(a): Calijuri, Maria Lúcia
• Banca de defesa: Lima, Dario Cardoso de , Calijuri, Maria do Carmo , Assis, Leonardo Campos de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Mestrado em Engenharia Civil
• Departamento: Geotecnia; Saneamento ambiental
• País: BR
• Palavras-chave em Português: Deslizamentos (Geologia); Inundações; Avaliação de riscos (Geologia); Análise multivariada; Cobertura dos solos
• Palavras-chave em Inglês: Landslides (Geology); Floods; Risk assessment (Geology); Multivariate analysis; Land cover
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA::ENGENHARIA DE AGUA E SOLO
• Link de acesso: http://locus.ufv.br/handle/123456789/3823

Floods and landslides are among the natural disasters most frequent that cause more economic and social losses in the world. In Brazil, a critical place is the Piranga River Watershed (PRW), located in Minas Gerais State and which comprises the Doce River headwaters. The setting is mainly due to the occurrence of extreme rainfall events associated with lack of planning and management of soil and inadequate occupation. Given the above, it is important to look after tools that help in interpreting information regarding the environment dynamics and also, tools that can identify, understand and predict the impact of changes caused to the environment. Therefore, this study was developed in two parts, involving the occurrence of extreme events in the PRW. In the first was presented a methodology for landslidesusceptible areas identification with the support of field experiments and strategic decision analysis based on multi-criteria evaluation. In the second part, the objective was to calibrate and validate a hydrological model in order to assess the effect land cover changes on the watershed hydrology opposite major floods. It can be concluded that the proposed methodology allowed the identification of landslide-susceptible areas in good agreement with the conditions observed in the field. The hydrological model was able to represent with good precision the watershed hydrological behavior and the scenarios simulation indicated an increase trend of floods occurrence due to changes in land cover. It is expected that this study enables the improvement of landslides and floods understanding and also, that it contributes as a tool for risk management in the PRW.