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Rainfall Erosivity over Brazil: A Large National Database

Author

Listed:
  • 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)

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.

Suggested Citation

  • Mariza P. Oliveira-Roza & Roberto A. Cecílio & David B. S. Teixeira & Michel C. Moreira & André Q. Almeida & Alexandre C. Xavier & Sidney S. Zanetti, 2024. "Rainfall Erosivity over Brazil: A Large National Database," Data, MDPI, vol. 9(10), pages 1-9, October.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:10:p:120-:d:1498320
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    Cited by:

    1. Ali, Liaqat & Azim, M. Imran & Peters, Jan & Pashajavid, Ehsan, 2024. "Expediting battery investment returns for residential customers utilising spot price-aware local energy exchanges," Energy, Elsevier, vol. 306(C).

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