Data/hora: 12/06/2024 17:36:22

Provedor de dados: | 90
País: | Brazil
Título: | Modeling of the Rainfall and R-Factor for Tocantins State, Brazil
Autores: | Avanzi,Junior Cesar; Viola,Marcelo Ribeiro; Mello,Carlos Rogério de; Giongo,Marcos Vinicius; Pontes,Lucas Machado.
Data: | 2019-01-01
Ano: | 2019
Palavras-chave: | Water erosion; Geostatistics; Regression-kriging; Soil and water conservation; Mapping.
Resumo: | 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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100524
Editor: | Sociedade Brasileira de Ciência do Solo
Relação: | 10.1590/18069657rbcs20190047
Formato: | text/html
Fonte: | Revista Brasileira de Ciência do Solo  v.43 2019
Fonte: | info:eu-repo/semantics/openAccess