Rainfall erosivity factors, runoff, soil losses under Cerrado conditions
Autor(a) principal: | |
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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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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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1793416679285325824 |