Suscetibilidade a processos erosivos lineares apoiada em análise estatística multivariada
Carregando...
Data
Autores
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Federal de São Carlos
Resumo
The present study aims to evaluated erosion susceptibility using multivariate analysis. The study area is Ribeirão do Meio watershed situated in São Pedro (SP). Gully erosion is an active and complex process in this watershed. In this study, gully erosion were investigated over 50 years, using aerial photographs for the years: 1960, 1972, 1988 and 2010. The procedures of the current study were developed in four main stepes: preparation of the erosion inventory; spatial analysis through GIS to obtain topographical and hydrological parameters; determination of topographic threshold (SxA) to obtain the gully initiations conditions; logistic regression (LR) analysis to evaluate the erosion susceptibility. The results showed that the logistic regression had overall fit and accuracy acceptable. Thus, these models were used to prepare erosion susceptibility maps. According to the results, the conditioning factors mainly were soil and sediments, slope, flow accumulation, rainfall erosivity and land use. The results also revealed that the map obtained is acceptable and indicated satisfactorily the erosion-prone areas. The susceptibility maps can represent an important tool for regional managers or planners. Finally, the procedures that were used, in terms of developing the logistic regression model was efficient and can be used other assessment of gully erosion.
Descrição
Citação
NEVES, Monique de Paula. Suscetibilidade a processos erosivos lineares apoiada em análise estatística multivariada. 2022. Tese (Doutorado em Engenharia Urbana) – Universidade Federal de São Carlos, São Carlos, 2022. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/16519.
Coleções
item.page.endorsement
item.page.review
item.page.supplemented
item.page.referenced
Licença Creative Commons
Exceto quando indicado de outra forma, a licença deste item é descrita como Attribution-NonCommercial-NoDerivs 3.0 Brazil
