Rainfall erosivity factors, runoff, soil losses under Cerrado conditions

Detalhes bibliográficos
Autor(a) principal: Dedecek, Renato Antonio
Data de Publicação: 2014
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/14154
Resumo: To establish the best rainfall erosivity factor related to runoff and soil losses, data from 116 rainstorms obtained from runoff plots in fallow condition on a Dark-Red Latosol (Haplustox) clay textured and with 5.5% slope were used. Seventeen erosivity indexes combining rainfall characteristics: amount, intensity and energy, and four factors estimating soil moisture were tested. There was an increase on the correlation coefficients of all erosivity indexes, when rainstorm data were classified into convective and frontal. Results indicate that a soil loss of 1 t/ha and 1 mm of runoff required 79 mm and 74 mm of rainfall, respectively, considering convective rains. In case of frontal rains, 49 mm and 41 mm of rainfall were needed to cause the same losses. The IEK (intensivity-energy) erositivity index was best correlated (r2 = 0.90) to runoff at both rain types. EK (energy) was best estimator (r2 = 0.78) of soil losses when rain was convective, while R10 (intensity-amount) showed best correlation (r2 = 0.59) to soil losses at frontal rain types. Considering those situations in general, EI30 was the best erosivity index. 
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spelling Rainfall erosivity factors, runoff, soil losses under Cerrado conditionsFatores de erosividade da chuva, enxurrada e perdas de solo sob condições de Cerradofallow land; Dark-Red Latosol; clay soil; slope landpousio descoberto; Latossolo Vermelho-Escuro; argila; decliveTo establish the best rainfall erosivity factor related to runoff and soil losses, data from 116 rainstorms obtained from runoff plots in fallow condition on a Dark-Red Latosol (Haplustox) clay textured and with 5.5% slope were used. Seventeen erosivity indexes combining rainfall characteristics: amount, intensity and energy, and four factors estimating soil moisture were tested. There was an increase on the correlation coefficients of all erosivity indexes, when rainstorm data were classified into convective and frontal. Results indicate that a soil loss of 1 t/ha and 1 mm of runoff required 79 mm and 74 mm of rainfall, respectively, considering convective rains. In case of frontal rains, 49 mm and 41 mm of rainfall were needed to cause the same losses. The IEK (intensivity-energy) erositivity index was best correlated (r2 = 0.90) to runoff at both rain types. EK (energy) was best estimator (r2 = 0.78) of soil losses when rain was convective, while R10 (intensity-amount) showed best correlation (r2 = 0.59) to soil losses at frontal rain types. Considering those situations in general, EI30 was the best erosivity index. Para o estabelecimento do fator de erosividade de chuva melhor correlacionado com enxurrada e perda de solo, foram utilizados dados de coleta de perdas de solo e água correspondentes a 116 chuvas, no período de maio de 1979 a abril de 1985, obtidas em parcelas em pousio descoberto em um Latossolo Vermelho-Escuro (Haplustox) textura argilosa e 5,5% de declive. Foram testados 17 índices de erosividade baseados nas características de chuva: quantidade, energia e intensidade, isoladamente ou em combinações, e mais quatro fatores que possibilitassem uma estimativa do estado de umidade do solo no início da chuva. Houve aumento nos coeficientes de determinação dos índices testados com enxurrada e perdas de solo, quando as chuvas foram divididas em convectivas e frontais. Para a perda de 1 t/ha de solo e 1 mm de enxurrada, são necessários 79 mm e 74 mm de chuva, respectivamente, no caso de chuvas convectivas. Considerando-se as chuvas frontais, são necessários 49 mm e 41 mm de chuva para ocasionarem os mesmos danos. O índice de erosividade IEK (intensidade-energia) foi o que melhor se correlacionou (r2= 0,90) com os valores de enxurrada para os dois tipos de chuva. EK (energia) foi o melhor índice de erosividade (r2 = 0,78) nas correlações com os valores de perdas de solo em chuvas convectivas, enquanto R10 (quantidade-intensidade) correlacionou-se melhor (r2 = 0,59) com perdas de solo nas chuvas frontais. Como parâmetro geral, EI30 foi o melhor índice de erosividade.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraDedecek, Renato Antonio2014-04-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/14154Pesquisa Agropecuaria Brasileira; v.23, n.12, dez. 1988; 1431-1438Pesquisa Agropecuária Brasileira; v.23, n.12, dez. 1988; 1431-14381678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/14154/8096info:eu-repo/semantics/openAccess2014-09-22T19:08:31Zoai:ojs.seer.sct.embrapa.br:article/14154Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-09-22T19:08:31Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
Fatores de erosividade da chuva, enxurrada e perdas de solo sob condições de Cerrado
title Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
spellingShingle Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
Dedecek, Renato Antonio
fallow land; Dark-Red Latosol; clay soil; slope land
pousio descoberto; Latossolo Vermelho-Escuro; argila; declive
title_short Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
title_full Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
title_fullStr Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
title_full_unstemmed Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
title_sort Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
author Dedecek, Renato Antonio
author_facet Dedecek, Renato Antonio
author_role author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Dedecek, Renato Antonio
dc.subject.por.fl_str_mv fallow land; Dark-Red Latosol; clay soil; slope land
pousio descoberto; Latossolo Vermelho-Escuro; argila; declive
topic fallow land; Dark-Red Latosol; clay soil; slope land
pousio descoberto; Latossolo Vermelho-Escuro; argila; declive
description To establish the best rainfall erosivity factor related to runoff and soil losses, data from 116 rainstorms obtained from runoff plots in fallow condition on a Dark-Red Latosol (Haplustox) clay textured and with 5.5% slope were used. Seventeen erosivity indexes combining rainfall characteristics: amount, intensity and energy, and four factors estimating soil moisture were tested. There was an increase on the correlation coefficients of all erosivity indexes, when rainstorm data were classified into convective and frontal. Results indicate that a soil loss of 1 t/ha and 1 mm of runoff required 79 mm and 74 mm of rainfall, respectively, considering convective rains. In case of frontal rains, 49 mm and 41 mm of rainfall were needed to cause the same losses. The IEK (intensivity-energy) erositivity index was best correlated (r2 = 0.90) to runoff at both rain types. EK (energy) was best estimator (r2 = 0.78) of soil losses when rain was convective, while R10 (intensity-amount) showed best correlation (r2 = 0.59) to soil losses at frontal rain types. Considering those situations in general, EI30 was the best erosivity index. 
publishDate 2014
dc.date.none.fl_str_mv 2014-04-17
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/14154
url https://seer.sct.embrapa.br/index.php/pab/article/view/14154
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/14154/8096
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.23, n.12, dez. 1988; 1431-1438
Pesquisa Agropecuária Brasileira; v.23, n.12, dez. 1988; 1431-1438
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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