2024-11-292023-03-12SERVIDONI, Lucas Emanuel. Proposta metodológica para mapeamento de áreas vulneráveis a ocorrência de inundações no Brasil utilizando parâmetros geomorfométricos. 2023. 83 f. Tese (Doutorado em Ciências Ambientais) - Universidade Federal de Alfenas, Alfenas, MG, 2023.https://repositorio.unifal-mg.edu.br/handle/123456789/2491Floods are the main natural disasters in Brazil, causing loss of life and socioeconomic damage. This work proposes a model for the remote detection of areas that are naturally flood-prone due to the morphometric characteristics of their relief and drainage networks in the Alto Sapucaí River in Minas Gerais, Brazil. The morphometric parameters used were the drainage density, river density, relief ratio, roughness index, maintenance coefficient, form factor and stream surface length. The risk areas had a compactness coefficient of 0.75 and a form factor of 0.56, and both were considered a high risk for floods. The obtained results allowed the identification of a significant predictive equation that suggested a cutoff value of 3.82 for the discriminant function; areas with values under this cutoff were considered naturally more vulnerable to floods occurrences. These areas were corroborated with the emergency maps of the municipalities. The map obtained by the proposed model was compared with the Civil Defense map, and its accuracy, according to the Kappa coefficient, was 0.83, indicating strong similarity between the two maps. This work then allowed to identify a form of remote detection of floods reducing operational costs, being able to cover a large mapped area in a short period of time. This is a necessity for a country with continental dimensions like Brazil, where it is constantly affected by floods during the rainy season in practically the entire territory.application/pdfAcesso AbertoDesastres naturaisSensoriamento remotoModelo matemáticoCIENCIAS BIOLOGICASTeseMincato, Ronaldo Luiz