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