Rainfall Erosivity over Brazil: A Large National Database

Mariza P. Oliveira-Roza, Roberto A. Cecílio (), David B. S. Teixeira, Michel C. Moreira, André Q. Almeida, Alexandre C. Xavier and Sidney S. Zanetti
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Mariza P. Oliveira-Roza: Department of Forest and Wood Sciences, Federal University of Espírito Santo, Jerônimo Monteiro 29550-000, Brazil
Roberto A. Cecílio: Department of Forest and Wood Sciences, Federal University of Espírito Santo, Jerônimo Monteiro 29550-000, Brazil
David B. S. Teixeira: Catarinense Federal Institute, Camboriú 88340-055, Brazil
Michel C. Moreira: Department of Agricultural Engineering, Federal University of Viçosa, Viçosa 36570-000, Brazil
André Q. Almeida: Department of Agricultural Engineering, Federal University of Sergipe, São Cristóvão 49100-000, Brazil
Alexandre C. Xavier: Department of Rural Engineering, Federal University of Espírito Santo, Alegre 29500-000, Brazil
Sidney S. Zanetti: Department of Forest and Wood Sciences, Federal University of Espírito Santo, Jerônimo Monteiro 29550-000, Brazil

Data, 2024, vol. 9, issue 10, 1-9

Abstract: Rainfall erosivity (RE) represents the potential of rainfall to cause soil erosion, and understanding its impact is essential for the adoption of soil and water conservation practices. Although several studies have estimated RE for Brazil, currently, no single reliable and easily accessible database exists for the country. To fill this gap, this work aimed to review the research and generate a rainfall erosivity database for Brazil. Data were gathered from studies that determined rainfall erosivity from observed rainfall records and synthetic rainfall series. Monthly and annual rainfall erosivity values were organized on a spreadsheet and in the shapefile format. In total, 54 studies from 1990 to 2023 were analyzed, resulting in the compilation of 5516 erosivity values for Brazil, of which 6.3% were pluviographic, and 93.7% were synthetic. The regions with the highest availability of information were the Northeast (35.6%), Southeast (30.1%), South (19.9%), Central-West (7.7%), and North (6.7%). The database, which can be accessed on the Mendeley Data platform, can aid professionals and researchers in adopting public policies and carrying out studies aimed at environmental conservation and management basin development.

Keywords: soil erosion; synthetic rainfall series; pluviographic data; watershed management; environmental conservation (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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