Propriedades dos solos e as relações com atributos do terreno, no distrito federal
Propriedades dos solos e as relações com atributos do terreno, no distrito federal
Authors
Bilich Neumann, Marina
Do Monte Lima, Francielle
Siqueira Marques Rego, Luiz Felipe
Farias de Souza, André Luiz
Llacer Roig, Henrique
De Almeida, Tati
Ennes Cicerelli, Rejane
Do Monte Lima, Francielle
Siqueira Marques Rego, Luiz Felipe
Farias de Souza, André Luiz
Llacer Roig, Henrique
De Almeida, Tati
Ennes Cicerelli, Rejane
Authors
Date
Datos de publicación:
10.7770/safer-V0N0-art1406
Keywords
Propiedades del suelo - Modelo digital de elevación
Collections
Abstract
As propriedades dos solos são relacionadas com posições na paisagem. Isto implica em que as variáveis dos fatores de formação do solo, podem ser usadas para predizer atributos dos solos. A modelagem digital do relevo é uma das técnicas quantitativas melhor desenvolvidas para predizer atributos e classes de solos. As propriedades do solo estimadas podem ser usadas como dados de entrada em modelos de erosão hídrica e de transporte de sedimentos/nutrientes, risco de acidificação do solo e produtividade. Portanto, o trabalho teve por objetivo avaliar as relações entre propriedades do solo (teor de argila, carbono orgânico e espessura dos horizontes superficial e subsuperficial) e atributos do terreno, derivados de um Modelo Digital de Elevação (MDE) na Bacia do Rio Jardim, Distrito Federal. A partir do MDE carta, foram obtidos os atributos do terreno declividade, altitude, curvatura e índice topográfico de umidade (TWI) que juntamente com os dados das propriedades do solo de 24 perfis, foram submetidos à analise de regressão linear múltipla para a obtenção dos coeficientes utilizados para a geração de equações de predição dos atributos do solo. A declividade, a altitude e o TWI foram os atributos derivados do MDE que obtiveram uma maior associação com o teor de argila e carbono orgânico nos solos da Bacia do Rio Jardim. A influência da curvatura na predição do teor de argila e carbono orgânico foi pouco representativa, porém, na predição da espessura do horizonte superficial, a curvatura e a declividade obtiveram uma boa associação
Soil properties are related to positions in the landscape. This implies that the variables of soil formation factors can be used to predict soil attributes. Digital relief modeling is one of the best-developed quantitative techniques for predicting soil attributes and classes. Estimated soil properties can be used as input data in water erosion and sediment / nutrient transport models, risk of soil acidification, and productivity. Therefore, the objective of this work was to evaluate the relationship between soil properties (clay content, organic carbon and thickness of the superficial and subsurface horizons) and terrain attributes derived from a Digital Elevation Model (MDE) in the Rio Jardim Basin, Federal District. From the MDE letter, the slope, altitude, curvature and topographic moisture index (TWI) attributes were obtained, which together with the soil properties data of 24 profiles were subjected to multiple linear regression analysis to obtain the coefficients used for the generation of prediction equations of soil attributes. Slope, altitude and TWI were the attributes derived from the MDE that obtained a greater association with clay and organic carbon content in the soils of the Jardim River Basin. The influence of the curvature on the prediction of clay and organic carbon content was not very representative, but in the prediction of surface horizon thickness, curvature and slope had a good association. Keywords: digital elevation model, multiple linear regression, digital soil mapping
Soil properties are related to positions in the landscape. This implies that the variables of soil formation factors can be used to predict soil attributes. Digital relief modeling is one of the best-developed quantitative techniques for predicting soil attributes and classes. Estimated soil properties can be used as input data in water erosion and sediment / nutrient transport models, risk of soil acidification, and productivity. Therefore, the objective of this work was to evaluate the relationship between soil properties (clay content, organic carbon and thickness of the superficial and subsurface horizons) and terrain attributes derived from a Digital Elevation Model (MDE) in the Rio Jardim Basin, Federal District. From the MDE letter, the slope, altitude, curvature and topographic moisture index (TWI) attributes were obtained, which together with the soil properties data of 24 profiles were subjected to multiple linear regression analysis to obtain the coefficients used for the generation of prediction equations of soil attributes. Slope, altitude and TWI were the attributes derived from the MDE that obtained a greater association with clay and organic carbon content in the soils of the Jardim River Basin. The influence of the curvature on the prediction of clay and organic carbon content was not very representative, but in the prediction of surface horizon thickness, curvature and slope had a good association. Keywords: digital elevation model, multiple linear regression, digital soil mapping