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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Rainfall erosivity in Brazil: A review

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Author(s):
Sanches Oliveira, Paulo Tarso [1] ; Wendland, Edson [1] ; Nearing, Mark A. [2]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Dept Hydraul & Sanit Engn, BR-13560970 Sao Carlos, SP - Brazil
[2] USDA ARS, SW Watershed Res Ctr, Tucson, AZ 85719 - USA
Total Affiliations: 2
Document type: Review article
Source: CATENA; v. 100, p. 139-147, JAN 2013.
Web of Science Citations: 66
Abstract

In this paper, we review the erosivity studies conducted in Brazil to verify the quality and representativeness of the results generated and to provide a greater understanding of the rainfall erosivity (R factor) in Brazil. We searched the ISI Web of Science, Scopus, SciELO, and Google Scholar databases and in recent theses and dissertations to obtain the following information: latitude, longitude, city, states, length of record (years). altitude, precipitation. R factor, equations calculated and respective determination coefficient (R-2). We found 35 studies in Brazil that used pluviographic rainfall data to calculate the rainfall erosivity. These studies were concentrated in the cities of the south and southeast regions (similar to 60% of all the cities studied in Brazil) with a few studies in other regions, mainly in the north. The annual rainfall erosivity in Brazil ranged from 1672 to 22,452 MJ mm ha(-1) h(-1) yr(-1). The lowest values were found in the northeast region, and the highest values were found in the north region. The rainfall erosivity tends to increase from east to west, particularly in the northern part of the country. In Brazil, there are 73 regression equations to calculate erosivity. These equations can be useful to map rainfall erosivity for the entire country. To this end, techniques already established in Brazil may be used for the interpolation of rainfall erosivity, such as geostatistics and artificial neural networks. (C) 2012 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 10/18788-5 - Water balance and soil erosion in native forest of the Cerrado biome
Grantee:Paulo Tarso Sanches de Oliveira
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 11/14273-3 - Water balance and soil erosion in native forest of the cerrado biome
Grantee:Luisa Fernanda Ribeiro Reis
Support Opportunities: Regular Research Grants