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All publications of “Mayesse Aparecida da Silva”

3 results

Predicting Runoff Risks by Digital Soil Mapping

Mayesse Aparecida da Silva, Marx Leandro Naves Silva, Phillip Ray Owens, Nilton Curi, Anna Hoffmann Oliveira, Bernardo Moreira Candido


ABSTRACT Digital soil mapping (DSM) permits continuous mapping soil types and properties through raster formats considering variation within soil class, in contrast to the traditional mapping that only considers spatial variation of soils at the boundaries of delineated polygons. The objective of this study was to compare the performance of SoLIM (Soil Land Inference Model) for two sets of environmental variables on digital mapping of saturated hydraulic conductivity and solum depth (A + B horizons) and to apply the best […]

Hydrological consistency of digital elevation models to define drainage network in the subbasin of the Terra Dura forest stand in Eldorado do Sul, RS

Anna Hoffmann Oliveira, Marx Leandro Naves Silva, Nilton Curi, Gustavo Klinke Neto, Mayesse Aparecida da Silva, Elias Frank de Araújo


The development of water erosion occurs in response to the way water moves through and over a given landscape. The digital elevation model (DEM) must therefore be as accurate as possible, since it is the basis for the analysis of a relief. The objectives of this study were to define a hydrologically consistent digital elevation model (HCDEM) and the most appropriate method to determine the flow direction of the drainage network in the sub-basin of the Terra Dura forest stand, […]

Evaluation and spatialization of rainfall erosivity in the Rio Doce Valley, central-eastern region of Minas Gerais, Brazil

Mayesse Aparecida da Silva, Marx Leandro Naves Silva, Nilton Curi, Gérson Rodrigues dos Santos, João José Granate de Sá e Melo Marques, Michele Duarte de Menezes, [...]


A very active and influential parameter in the erosive process is the R factor, called rainfall erosivity. This factor is one of the components of the universal soil loss equation. Studies in spatial variability have been conducted in an attempt to define the spatial distribution of the R factor for a given region. This study aimed to calculate the rainfall erosivity (R factor – EI30) to generate spatial maps. The study was conducted in experimental areas of eucalyptus stands in […]