Curve number for runoff estimating in interlocking concrete pavement

Detalhes bibliográficos
Autor(a) principal: Lucas,Murilo Cesar
Data de Publicação: 2022
Outros Autores: Jodas,Gustavo Bonfim, Bertotto,Luis Eduardo, Oliveira,Paulo Tarso Sanches de, Bail,Alessandro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100232
Resumo: ABSTRACT Curve Number (CN) values estimating from rainfall-runoff data is an attractive topic in hydrology. However, CN values are lacking for Interlocking Concrete Pavement (ICP) material, mainly when seated over bare soil (not over a permeable pavement structure). Here, we compute CN values for the ICP seated over clayey soil using measured rainfall and infiltration capacity data. We estimated runoff ( Q) using 32 events of 24-hour rainfall depth ( P 24) and an infiltration model, assuming a hortonian runoff process. To estimate the CN for each P 24 event, we used the rainfall-runoff incremental approach. Overall, we obtained CN values ranging from 52 to 63. The best CN values to estimate Q were equal to 52.2 ( R M S E = 9.09 mm and R 2 = 0.03) and 60.1 ( R M S E = 1.45 mm and R 2 = 0.97), considering natural- and rank-ordered P 24- Q data, respectively. Our results indicate that it is more suitable to use the initial abstraction ratio ( λ) equal to 0.20 for the ICP material. The findings provide a better understanding of the rainfall-runoff process in ICP and help improve the design of stormwater drainage systems.
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spelling Curve number for runoff estimating in interlocking concrete pavementPaverLow impact development systemsStormwater Drainage SystemFloodingABSTRACT Curve Number (CN) values estimating from rainfall-runoff data is an attractive topic in hydrology. However, CN values are lacking for Interlocking Concrete Pavement (ICP) material, mainly when seated over bare soil (not over a permeable pavement structure). Here, we compute CN values for the ICP seated over clayey soil using measured rainfall and infiltration capacity data. We estimated runoff ( Q) using 32 events of 24-hour rainfall depth ( P 24) and an infiltration model, assuming a hortonian runoff process. To estimate the CN for each P 24 event, we used the rainfall-runoff incremental approach. Overall, we obtained CN values ranging from 52 to 63. The best CN values to estimate Q were equal to 52.2 ( R M S E = 9.09 mm and R 2 = 0.03) and 60.1 ( R M S E = 1.45 mm and R 2 = 0.97), considering natural- and rank-ordered P 24- Q data, respectively. Our results indicate that it is more suitable to use the initial abstraction ratio ( λ) equal to 0.20 for the ICP material. The findings provide a better understanding of the rainfall-runoff process in ICP and help improve the design of stormwater drainage systems.Associação Brasileira de Recursos Hídricos2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100232RBRH v.27 2022reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.272220220035info:eu-repo/semantics/openAccessLucas,Murilo CesarJodas,Gustavo BonfimBertotto,Luis EduardoOliveira,Paulo Tarso Sanches deBail,Alessandroeng2022-11-24T00:00:00Zoai:scielo:S2318-03312022000100232Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2022-11-24T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Curve number for runoff estimating in interlocking concrete pavement
title Curve number for runoff estimating in interlocking concrete pavement
spellingShingle Curve number for runoff estimating in interlocking concrete pavement
Lucas,Murilo Cesar
Paver
Low impact development systems
Stormwater Drainage System
Flooding
title_short Curve number for runoff estimating in interlocking concrete pavement
title_full Curve number for runoff estimating in interlocking concrete pavement
title_fullStr Curve number for runoff estimating in interlocking concrete pavement
title_full_unstemmed Curve number for runoff estimating in interlocking concrete pavement
title_sort Curve number for runoff estimating in interlocking concrete pavement
author Lucas,Murilo Cesar
author_facet Lucas,Murilo Cesar
Jodas,Gustavo Bonfim
Bertotto,Luis Eduardo
Oliveira,Paulo Tarso Sanches de
Bail,Alessandro
author_role author
author2 Jodas,Gustavo Bonfim
Bertotto,Luis Eduardo
Oliveira,Paulo Tarso Sanches de
Bail,Alessandro
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lucas,Murilo Cesar
Jodas,Gustavo Bonfim
Bertotto,Luis Eduardo
Oliveira,Paulo Tarso Sanches de
Bail,Alessandro
dc.subject.por.fl_str_mv Paver
Low impact development systems
Stormwater Drainage System
Flooding
topic Paver
Low impact development systems
Stormwater Drainage System
Flooding
description ABSTRACT Curve Number (CN) values estimating from rainfall-runoff data is an attractive topic in hydrology. However, CN values are lacking for Interlocking Concrete Pavement (ICP) material, mainly when seated over bare soil (not over a permeable pavement structure). Here, we compute CN values for the ICP seated over clayey soil using measured rainfall and infiltration capacity data. We estimated runoff ( Q) using 32 events of 24-hour rainfall depth ( P 24) and an infiltration model, assuming a hortonian runoff process. To estimate the CN for each P 24 event, we used the rainfall-runoff incremental approach. Overall, we obtained CN values ranging from 52 to 63. The best CN values to estimate Q were equal to 52.2 ( R M S E = 9.09 mm and R 2 = 0.03) and 60.1 ( R M S E = 1.45 mm and R 2 = 0.97), considering natural- and rank-ordered P 24- Q data, respectively. Our results indicate that it is more suitable to use the initial abstraction ratio ( λ) equal to 0.20 for the ICP material. The findings provide a better understanding of the rainfall-runoff process in ICP and help improve the design of stormwater drainage systems.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S2318-03312022000100232
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100232
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.272220220035
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 Recursos Hídricos
publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
dc.source.none.fl_str_mv RBRH v.27 2022
reponame:RBRH (Online)
instname:Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
instname_str Associação Brasileira de Recursos Hídricos (ABRH)
instacron_str ABRH
institution ABRH
reponame_str RBRH (Online)
collection RBRH (Online)
repository.name.fl_str_mv RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)
repository.mail.fl_str_mv ||rbrh@abrh.org.br
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