Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/40899
Title: Modeling of the rainfall and R-Factor for Tocantins State, Brazil
Keywords: Water erosion
Geostatistics
Regression-kriging
Soil and water conservation
Mapping
Erosão hídrica
Geoestatística
Conservação do solo e da água
Mapeamento
Issue Date: 2019
Publisher: Sociedade Brasileira de Ciência do Solo
Citation: AVANZI, J. C. et al. Modeling of the Rainfall and R-Factor for Tocantins State, Brazil. Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 43, 2019. Paginação irregular.
Abstract: The state of Tocantins is inserted in the new Brazilian agricultural frontier and has shown enormous potential for expansion of the agricultural lands. However, there is a lack of more elaborate scientific information for better planning and guide agricultural activities, especially regarding the soil and water conservation. Tocantins has a relevant rainfall spatial variability and, consequently, rainfall erosivity. Thus, this work aimed to develop models to estimate the mean monthly and annual rainfall and means rainfall erosivity factor (R-factor) of the Universal Soil Loss Equation (USLE) for the state of Tocantins. For that, 97 historical series of daily rainfall were studied, considering a standard period of 25 years (1985-2009). The fitting of the models adjustment datasets consists of 86 rain-gauges, out of which, 11 were randomly selected and used solely for model validation. Afterward, maps of these variables were generated based on the regression-kriging procedure. The fitted models presented precision statistical that allow characterizing them as “good quality”, with a coefficient of determination higher than 0.68 for rainfall models and 0.65 for the R-factor model, besides acceptable bias. Therefore, the application of the models can be successfully carried out, aiding the agricultural planning in the state of Tocantins.
URI: http://repositorio.ufla.br/jspui/handle/1/40899
Appears in Collections:DCS - Artigos publicados em periódicos
DEG - Artigos publicados em periódicos
DRH - Artigos publicados em periódicos

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