典型文献
Rainfall erosivity and erosivity density through rainfall synthetic series for S?o Paulo State,Brazil:Assessment,regionalization and modeling
文献摘要：
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 conservation.Therefore,the objectives of this study were:ⅰ)to estimate the RE and ED for S?o 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 regions.Synthetic series of pluviographic data were initially obtained on a sub-daily scale from the daily rainfall records of 696 rainfall gauges.The RE values were then estimated from the synthetic rainfall data,and ED was calcu-lated from the relationship between erosivity and rainfall amounts.Monthly and annual maps for RE and ED were obtained.Hierarchical clustering analysis was used to define homogeneous regions in terms of rainfall erosivity,and regionalized regression models for estimating RE were generated.The results demonstrate high spatial variability of RE in Sāo Paulo,where the highest annual values were observed in the coastal region.December to March concentrate approximately 60％of the intra-annual erosivity.The highest values of annual ED were observed in regions with intense agricultural activity.The definition of five homogeneous regions concerning the rainfall erosive potential evidenced distinct seasonal patterns of the spatial distribution of erosivity.Finally,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.
文献关键词：
中图分类号：
作者姓名：
David Bruno de Sousa Teixeira;Roberto Avelino Cecílio;Jo?o Paulo Bestete de Oliveira;Laura Thebit de Almeida;Gabrielle Ferreira Pires
作者机构：
a Department of Agricultural Engineering Federal University of Vi?osa,Vi?osa,MG,36570-900,Brazil;Department of Forest and Wood Sciences,Federal University of Espírito Santo,Jer?nimo Monteiro,ES,29550-000,Brazil;Federal Institute of Espírito Santo,Campus Alegre,Alegre,ES,29520-000,Brazil
文献出处：
引用格式：
[1]David Bruno de Sousa Teixeira;Roberto Avelino Cecílio;Jo?o Paulo Bestete de Oliveira;Laura Thebit de Almeida;Gabrielle Ferreira Pires-.Rainfall erosivity and erosivity density through rainfall synthetic series for S?o Paulo State,Brazil:Assessment,regionalization and modeling)[J].国际水土保持研究（英文）,2022(03):355-370
A类：
erosivity,pluviographic,regionalized
B类：
Rainfall,density,through,rainfall,synthetic,series,Paulo,State,Assessment,regionalization,modeling,main,cause,erosion,Brazilian,soils,which,makes,assessing,RE,ED,fundamental,water,conservation,Therefore,objectives,this,study,were,using,data,define,homogeneous,regions,regarding,regression,models,estimates,each,Synthetic,initially,obtained,sub,daily,scale,from,records,gauges,values,then,estimated,was,calcu,lated,relationship,between,amounts,Monthly,annual,maps,Hierarchical,clustering,analysis,used,terms,estimating,generated,results,demonstrate,spatial,variability,where,highest,observed,coastal,December,March,concentrate,approximately,intra,intense,agricultural,activity,definition,five,concerning,erosive,potential,evidenced,distinct,seasonal,patterns,distribution,Finally,predictive,accuracy,characterizes,them,essential,tools,reliable,contribute,better,planning
AB值：
0.443027
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