Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/15401 |
Resumo: | The urbanization process results in a reduction of permeable areas, generating a reduction in the infiltration rate and consequent increase in flow rainwater, intensifying the frequency and magnitude of flooding. However, the use of green roofs has been proving to be an efficient practice in reducing and delayed this flow. In this sense, we sought to identify the optimal textural class for the substrate of a green roof submitted to the climatic conditions of the Metropolitan Region of Recife (RMR). Then, the Hydrus-1D model was calibrated and validated using the volume drained by a green roof prototype. Then simulations of the soil water flow with different textural classes were made. After validation, a good efficiency of the model was verified in the representation of the observed values. Finally, the textural classes that presented the highest average retention capacities were sandy loam, loam, silt loam and silt. Therefore, for the studied region, the green roof substrate should be composed of one of these soil categories. In the absence of them, sand, loamy sand, silty clay loam or clay loam should be employed. |
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Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of RecifeInfluencia del sustrato de techos verdes en la reducción de la escorrentía superficial cuando se somete a las condiciones climáticas de la Región Metropolitana de RecifeInfluência do substrato dos telhados verdes na redução do escoamento superficial quando submetido às condições climáticas da Região Metropolitana do RecifeHydrus-1DSimulaciónCapacidad de retención.Hydrus-1DSimulationRetention capacity.Hydrus-1DSimulaçãoCapacidade de retenção.The urbanization process results in a reduction of permeable areas, generating a reduction in the infiltration rate and consequent increase in flow rainwater, intensifying the frequency and magnitude of flooding. However, the use of green roofs has been proving to be an efficient practice in reducing and delayed this flow. In this sense, we sought to identify the optimal textural class for the substrate of a green roof submitted to the climatic conditions of the Metropolitan Region of Recife (RMR). Then, the Hydrus-1D model was calibrated and validated using the volume drained by a green roof prototype. Then simulations of the soil water flow with different textural classes were made. After validation, a good efficiency of the model was verified in the representation of the observed values. Finally, the textural classes that presented the highest average retention capacities were sandy loam, loam, silt loam and silt. Therefore, for the studied region, the green roof substrate should be composed of one of these soil categories. In the absence of them, sand, loamy sand, silty clay loam or clay loam should be employed.El proceso de urbanización se traduce en una reducción de las zonas permeables, generando una reducción en la tasa de infiltración y el consiguiente aumento del caudal de las aguas de lluvia, intensificando la frecuencia y magnitud de las inundaciones. Sin embargo, el uso de techos verdes ha sido una práctica eficiente en reducción y retraso de este flujo. En este sentido, buscamos identificar la clase textural óptima para el sustrato de un techo verde condiciones climáticas de la Región Metropolitana de Recife (RMR). Para ello, el modelo Hydrus-1D fue calibrado y validado con el uso de volumen drenado por un prototipo de techo verde. Luego se hicieron simulaciones del flujo de agua del suelo con diferentes clases texturales. Después de la validación, se verificó una buena eficiencia del modelo en la representación de los valores observados. Por último, las clases texturales que presentaron las mayores capacidades medias de retención fueron franco arenoso, franco, limo y franco limoso. Por lo tanto, para la región estudiada, el sustrato de techo verde debe estar compuesto por una de estas categorías de suelo. En ausencia de ellos, se debe emplear arena, areno franco, franco arcillo limoso o franco limoso.O processo de urbanização acarreta a diminuição de áreas permeáveis, gerando uma redução na taxa de infiltração e consequente aumento do escoamento das águas pluviais, intensificando a frequência e a magnitude dos alagamentos. Contudo, o uso de telhados verdes vem se mostrando uma prática eficiente na redução e retardo desse escoamento. Nesse sentido, buscou-se identificar a classe textural ótima para o substrato de um telhado verde submetido às condições climáticas da Região Metropolitana do Recife (RMR). Para isso, realizou-se a calibração e validação do modelo Hydrus-1D com uso do volume drenado por um protótipo de telhado verde. Em seguida foram feitas simulações do fluxo de água no solo com diferentes classes texturais. Após a validação foi verificada uma boa eficiência do modelo na representação dos valores observados. Por fim, as classes texturais que apresentaram as maiores capacidades de retenção média foram a franca arenosa, franca, franco siltosa e silte. Com isso, para região estudada, o substrato do telhado verde deve ser composto por uma dessas categorias de solo. Na falta das mesmas, devem ser empregadas a areia, areia franca, franco argilo siltosa ou franco argilosa.Research, Society and Development2021-05-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1540110.33448/rsd-v10i5.15401Research, Society and Development; Vol. 10 No. 5; e57710515401Research, Society and Development; Vol. 10 Núm. 5; e57710515401Research, Society and Development; v. 10 n. 5; e577105154012525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/15401/13733Copyright (c) 2021 Camila Barrêtto Rique de Barros; Willames de Albuquerque Soares; Marco Aurelio Calixto Ribeiro de Holandahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Barros, Camila Barrêtto Rique de Soares, Willames de AlbuquerqueHolanda, Marco Aurelio Calixto Ribeiro de 2021-05-17T18:20:49Zoai:ojs.pkp.sfu.ca:article/15401Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:13.907971Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife Influencia del sustrato de techos verdes en la reducción de la escorrentía superficial cuando se somete a las condiciones climáticas de la Región Metropolitana de Recife Influência do substrato dos telhados verdes na redução do escoamento superficial quando submetido às condições climáticas da Região Metropolitana do Recife |
title |
Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife |
spellingShingle |
Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife Barros, Camila Barrêtto Rique de Hydrus-1D Simulación Capacidad de retención. Hydrus-1D Simulation Retention capacity. Hydrus-1D Simulação Capacidade de retenção. |
title_short |
Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife |
title_full |
Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife |
title_fullStr |
Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife |
title_full_unstemmed |
Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife |
title_sort |
Influence of the substrate of green roofs in the reduction of surface runoff when subjected to the climatic conditions of the Metropolitan Region of Recife |
author |
Barros, Camila Barrêtto Rique de |
author_facet |
Barros, Camila Barrêtto Rique de Soares, Willames de Albuquerque Holanda, Marco Aurelio Calixto Ribeiro de |
author_role |
author |
author2 |
Soares, Willames de Albuquerque Holanda, Marco Aurelio Calixto Ribeiro de |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Barros, Camila Barrêtto Rique de Soares, Willames de Albuquerque Holanda, Marco Aurelio Calixto Ribeiro de |
dc.subject.por.fl_str_mv |
Hydrus-1D Simulación Capacidad de retención. Hydrus-1D Simulation Retention capacity. Hydrus-1D Simulação Capacidade de retenção. |
topic |
Hydrus-1D Simulación Capacidad de retención. Hydrus-1D Simulation Retention capacity. Hydrus-1D Simulação Capacidade de retenção. |
description |
The urbanization process results in a reduction of permeable areas, generating a reduction in the infiltration rate and consequent increase in flow rainwater, intensifying the frequency and magnitude of flooding. However, the use of green roofs has been proving to be an efficient practice in reducing and delayed this flow. In this sense, we sought to identify the optimal textural class for the substrate of a green roof submitted to the climatic conditions of the Metropolitan Region of Recife (RMR). Then, the Hydrus-1D model was calibrated and validated using the volume drained by a green roof prototype. Then simulations of the soil water flow with different textural classes were made. After validation, a good efficiency of the model was verified in the representation of the observed values. Finally, the textural classes that presented the highest average retention capacities were sandy loam, loam, silt loam and silt. Therefore, for the studied region, the green roof substrate should be composed of one of these soil categories. In the absence of them, sand, loamy sand, silty clay loam or clay loam should be employed. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-17 |
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://rsdjournal.org/index.php/rsd/article/view/15401 10.33448/rsd-v10i5.15401 |
url |
https://rsdjournal.org/index.php/rsd/article/view/15401 |
identifier_str_mv |
10.33448/rsd-v10i5.15401 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/15401/13733 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 5; e57710515401 Research, Society and Development; Vol. 10 Núm. 5; e57710515401 Research, Society and Development; v. 10 n. 5; e57710515401 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052677512757248 |