Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/5281
Título: Aplicação de sistemas de informação geográfica para a determinação do potencial natural de erosão dos solos no distrito de Sussundenga - Moçambique
Autor: Cumbane, Berta Lúcia
Orientador: Madeira, Manuel Valeriano
Abrantes, Maria da Graça
Palavras-chave: erosion
soil
EPS
GIS
Mozambique
Data de Defesa: 2012
Editora: ISA/UTL
Citação: Cumbane, B.L. - Aplicação de sistemas de informação geográfica para a determinação do potencial natural de erosão dos solos no distrito de Sussundenga, Moçambique. Lisboa: ISA, 2012, 79 p.
Resumo: The erosion potential of soils in the district of Sussundenga, Manica Province, is analyzed in this study by applying the USLE. The motivation for this study emerged from the need for research of susceptible areas to erosion and providing information about guidelines to minimize the problems of environmental degradation. This motivation is increased by the need to create a database containing details for the methodology to use in determining factors that cause soil degradation in Mozambique. The interest in the district of Sussundenga comes from implementation of the UN Convention to Combat Desertification, where this area was indicated as an area of high risk. The work is based mainly on literature review and spatial modeling in a GIS environment, using the software ArcGis 10. The data used were the digital elevation models, the spatial distribution of rainfall and soil characterization, from which the LS, R and K factors were obtained, respectively, of the USLE model. In GIS it was done the multiplication of thematic maps, resulting in a map indicating the levels of susceptibility to erosion at district. The study showed that about 50% of the district area presents values of Natural Potential of Erosion (NPE) less than 500 ton/ha, corresponding to the class of low potential. On the other hand, 27% of the area corresponds at the class of very high erosion potential. The topographic factor exerts a strong influence on these results, since there is a positive correlation between the two factors, and the correlation coefficient is equal to 99.9%.
Descrição: Mestrado em Gestão e Conservação de Recursos Naturais - Instituto Superior de Agronomia / Universidade de Évora
URI: http://hdl.handle.net/10400.5/5281
Aparece nas colecções:BISA - Dissertações de Mestrado / Master Thesis

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