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Rainfall erosivity and erosivity density through rainfall synthetic series for Sao Paulo State,Brazil:Assessment,regionalization and modeling

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International Soil and Water Conservation Research 2022年第3期10卷 355-370页

作者： David Bruno de Sousa Teixeira Roberto Avelino Cecílio Joao Paulo Bestete de Oliveira Laura Thebit de Almeida Gabrielle Ferreira Pires Department of Agricultural Engineering Federal University of ViçosaViçosaMG36570-900Brazil Department of Forest and Wood Sciences Federal University of Espírito SantoJer^onimo MonteiroES29550-000Brazil Federal Institute of Espírito Santo Campus AlegreAlegreES29520-000Brazil

Rainfall is the main cause of erosion of Brazilian soils,which makes assessing the rainfall erosivity factor(RE)and the erosivity density(ED)fundamental for soil and water ***,the objectives of this study were:i)to estimate the RE and ED for Sao Paulo State,Brazil,using synthetic series of pluviographic data;ii)to define homogeneous regions regarding rainfall erosivity;and iii)to generate regression models for rainfall erosivity estimates in each of the homogeneous *** series of pluviographic data were initially obtained on a sub-daily scale from the daily rainfall records of 696 rainfall *** RE values were then estimated from the synthetic rainfall data,and ED was calculated from the relationship between erosivity and rainfall *** and annual maps for RE and ED were *** clustering analysis was used to define homogeneous regions in terms of rainfall erosivity,and regionalized regression models for estimating RE were *** results demonstrate high spatial variability of RE in Sao Paulo,where the highest annual values were observed in the coastal *** to March concentrate approximately 60%of the intra-annual *** highest values of annual ED were observed in regions with intense agricultural *** definition of five homogeneous regions concerning the rainfall erosive potential evidenced distinct seasonal patterns of the spatial distribution of ***,the high predictive accuracy of the regionalized models obtained characterizes them as essential tools for reliable estimates of rainfall erosivity,and contribute to better soil conservation planning.

关键词： Soil erosion Stochastic weather generator homogeneous regions Modified Fournier index Regression models

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