Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/42411
metadata.artigo.dc.title: RainfallErosivityFactor: An R package for rainfall erosivity (R-factor) determination
metadata.artigo.dc.creator: Cardoso, Dione Pereira
Silva, Edilson Marcelino
Avanzi, Junior Cesar
Muniz, Joel Augusto
Ferreira, Daniel Furtado
Silva, Marx Leandro Naves
Acuña-Guzman, Salvador Francisco
metadata.artigo.dc.subject: Decision making tool
Rainfall data analysis
Water erosion
R software environment
Erosion model prediction
Erosividade da chuva
Ferramenta de tomada de decisão
Análise de dados de precipitação
Ambiente de software R
Predição do modelo de erosão
metadata.artigo.dc.publisher: Elsevier
metadata.artigo.dc.date.issued: Jun-2020
metadata.artigo.dc.identifier.citation: CARDOSO, D. P. et al. RainfallErosivityFactor: An R package for rainfall erosivity (R-factor) determination. Catena, [S. I.], v. 189, June 2020. DOI: https://doi.org/10.1016/j.catena.2020.104509.
metadata.artigo.dc.description.abstract: RainfallErosivityFactor is an R package developed as a tool for the analysis of rainfall data and the calculation of the R-factor, a relevant parameter for soil loss prediction due to water erosion. The package consists of a user-friendly routine for loading large rainfall datasets into the R software environment and classifying data into erosive and non-erosive events. Erosive rainfall events are then used to compute rainfall erosivity values. This paper explains the development of the package with the purpose of showing how rainfall data can be analyzed accurately, fast and efficiently. An example is provided for Pirassununga, SP, Brazil, using a 7-year rainfall dataset with 10-minute interval between measurements. This package proved to be an efficient and fast tool for the determination of rainfall erosivity, which can be subsequently used to predict soil erosion. Considerations for future developments may come in the form of feedback, such as the need for more options of time interval.
metadata.artigo.dc.identifier.uri: https://doi.org/10.1016/j.catena.2020.104509
http://repositorio.ufla.br/jspui/handle/1/42411
metadata.artigo.dc.language: en
Appears in Collections:DCS - Artigos publicados em periódicos
DES - Artigos publicados em periódicos
DEX - Artigos publicados em periódicos
DFI - Artigos publicados em periódicos

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