SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION

Detalhes bibliográficos
Autor(a) principal: Aguiar,Wagner de
Data de Publicação: 2019
Outros Autores: Sampaio,Silvio C., Paisani,Julio C., Remor,Marcelo B., Reis,Ralpho R. dos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000500592
Resumo: ABSTRACT Seasonal changes in agricultural soil use due to agroclimatic conditions affect the water cycle in watersheds. This study aimed to understand the temporal variation of runoff inherent to the seasonal occupation dynamics of the agricultural soil in the basin that drains the upper valley of the Marrecas River, upstream of the urban perimeter of Francisco Beltrão, PR. The effects of runoff were verified through flow peaks simulated by the HEC-HMS model in twelve monthly soil use scenarios, under seven precipitation return periods. The results indicated a strong relationship between bare soil and flow peaks, temporally delimiting April and March as the largest runoff generators and January and August as the smallest ones. The ratio quantified by rates of increase in flow peaks ranging from 0.78 to 1.64 m3 s−1 per km2 of bare soil. In addition, the survey of historical precipitation data also warns of the generation of large runoff volumes in October. Therefore, the strong correlation between the increase in flow peaks and occupation by bare soil can be quantified with good precision, but it is also necessary to consider historical precipitation records to understand the temporal distribution of runoff and flood risks.
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spelling SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATIONfloodflow peakhydrological simulationagricultural soil useABSTRACT Seasonal changes in agricultural soil use due to agroclimatic conditions affect the water cycle in watersheds. This study aimed to understand the temporal variation of runoff inherent to the seasonal occupation dynamics of the agricultural soil in the basin that drains the upper valley of the Marrecas River, upstream of the urban perimeter of Francisco Beltrão, PR. The effects of runoff were verified through flow peaks simulated by the HEC-HMS model in twelve monthly soil use scenarios, under seven precipitation return periods. The results indicated a strong relationship between bare soil and flow peaks, temporally delimiting April and March as the largest runoff generators and January and August as the smallest ones. The ratio quantified by rates of increase in flow peaks ranging from 0.78 to 1.64 m3 s−1 per km2 of bare soil. In addition, the survey of historical precipitation data also warns of the generation of large runoff volumes in October. Therefore, the strong correlation between the increase in flow peaks and occupation by bare soil can be quantified with good precision, but it is also necessary to consider historical precipitation records to understand the temporal distribution of runoff and flood risks.Associação Brasileira de Engenharia Agrícola2019-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000500592Engenharia Agrícola v.39 n.5 2019reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v39n5p592-599/2019info:eu-repo/semantics/openAccessAguiar,Wagner deSampaio,Silvio C.Paisani,Julio C.Remor,Marcelo B.Reis,Ralpho R. doseng2019-10-29T00:00:00Zoai:scielo:S0100-69162019000500592Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2019-10-29T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION
title SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION
spellingShingle SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION
Aguiar,Wagner de
flood
flow peak
hydrological simulation
agricultural soil use
title_short SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION
title_full SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION
title_fullStr SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION
title_full_unstemmed SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION
title_sort SEASONAL DYNAMICS OF AGRICULTURAL SOIL COVER IN RUNOFF GENERATION
author Aguiar,Wagner de
author_facet Aguiar,Wagner de
Sampaio,Silvio C.
Paisani,Julio C.
Remor,Marcelo B.
Reis,Ralpho R. dos
author_role author
author2 Sampaio,Silvio C.
Paisani,Julio C.
Remor,Marcelo B.
Reis,Ralpho R. dos
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Aguiar,Wagner de
Sampaio,Silvio C.
Paisani,Julio C.
Remor,Marcelo B.
Reis,Ralpho R. dos
dc.subject.por.fl_str_mv flood
flow peak
hydrological simulation
agricultural soil use
topic flood
flow peak
hydrological simulation
agricultural soil use
description ABSTRACT Seasonal changes in agricultural soil use due to agroclimatic conditions affect the water cycle in watersheds. This study aimed to understand the temporal variation of runoff inherent to the seasonal occupation dynamics of the agricultural soil in the basin that drains the upper valley of the Marrecas River, upstream of the urban perimeter of Francisco Beltrão, PR. The effects of runoff were verified through flow peaks simulated by the HEC-HMS model in twelve monthly soil use scenarios, under seven precipitation return periods. The results indicated a strong relationship between bare soil and flow peaks, temporally delimiting April and March as the largest runoff generators and January and August as the smallest ones. The ratio quantified by rates of increase in flow peaks ranging from 0.78 to 1.64 m3 s−1 per km2 of bare soil. In addition, the survey of historical precipitation data also warns of the generation of large runoff volumes in October. Therefore, the strong correlation between the increase in flow peaks and occupation by bare soil can be quantified with good precision, but it is also necessary to consider historical precipitation records to understand the temporal distribution of runoff and flood risks.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000500592
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000500592
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-eng.agric.v39n5p592-599/2019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.39 n.5 2019
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
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