Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/33579 |
Resumo: | Heavy rainfall in conjunction with an increase in population and intensification of agricultural activities have resulted in countless problems related to flooding in watersheds. Among the techniques available for direct surface runoff (DSR) modeling and flood risk management are the Unit Hydrograph (UH) and Instantaneous Unit Hydrograph (IUH). This study focuses on the evaluation of predictive capability of two conceptual IUH models (Nash and Clark), considering their original (NIUH and CIUH) and geomorphological approaches (NIUHGEO and CIUHGEO), and their advantages over two traditional synthetics UH models – Triangular (TUH) and Dimensionless (DUH), to estimate DSR hydrographs taking as reference two Brazilian watersheds with contrasting geomorphological and climatic characteristics. The main results and conclusions were: i) there was an impact of the differences in physiographical characteristics between watersheds, especially those parameters associated with soil; the dominant rainfall patterns in each watershed had an influence on flood modeling; and ii) CIUH was the most satisfactory model for both watersheds, followed by NIUH, and both models had substantial superiority over synthetic models traditionally employed; iii) although geomorphological approaches for IUH had performances slightly better than TUH and DUH, they should not be considered as standard tools for flood modeling in these watersheds. |
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Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristicsDirect surface runofHydrographGeomorphological approachHeavy rainfall in conjunction with an increase in population and intensification of agricultural activities have resulted in countless problems related to flooding in watersheds. Among the techniques available for direct surface runoff (DSR) modeling and flood risk management are the Unit Hydrograph (UH) and Instantaneous Unit Hydrograph (IUH). This study focuses on the evaluation of predictive capability of two conceptual IUH models (Nash and Clark), considering their original (NIUH and CIUH) and geomorphological approaches (NIUHGEO and CIUHGEO), and their advantages over two traditional synthetics UH models – Triangular (TUH) and Dimensionless (DUH), to estimate DSR hydrographs taking as reference two Brazilian watersheds with contrasting geomorphological and climatic characteristics. The main results and conclusions were: i) there was an impact of the differences in physiographical characteristics between watersheds, especially those parameters associated with soil; the dominant rainfall patterns in each watershed had an influence on flood modeling; and ii) CIUH was the most satisfactory model for both watersheds, followed by NIUH, and both models had substantial superiority over synthetic models traditionally employed; iii) although geomorphological approaches for IUH had performances slightly better than TUH and DUH, they should not be considered as standard tools for flood modeling in these watersheds.Academia Brasileira de Ciências2019-04-15T12:39:48Z2019-04-15T12:39:48Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfBESKOW, S. et al. Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 90, n. 2, p. 1873-1890, 2018.http://repositorio.ufla.br/jspui/handle/1/33579Anais da Academia Brasileira de Ciênciasreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessBeskow, SamuelNunes, Gabriela S.Mello, Carlos R. deCaldeira, Tamara L.Norton, Lloyd D.Steinmetz, Alice A.Vargas, Marcelle M.Ávila, Léo F.eng2023-04-25T14:16:48Zoai:localhost:1/33579Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-04-25T14:16:48Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics |
title |
Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics |
spellingShingle |
Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics Beskow, Samuel Direct surface runof Hydrograph Geomorphological approach |
title_short |
Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics |
title_full |
Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics |
title_fullStr |
Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics |
title_full_unstemmed |
Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics |
title_sort |
Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics |
author |
Beskow, Samuel |
author_facet |
Beskow, Samuel Nunes, Gabriela S. Mello, Carlos R. de Caldeira, Tamara L. Norton, Lloyd D. Steinmetz, Alice A. Vargas, Marcelle M. Ávila, Léo F. |
author_role |
author |
author2 |
Nunes, Gabriela S. Mello, Carlos R. de Caldeira, Tamara L. Norton, Lloyd D. Steinmetz, Alice A. Vargas, Marcelle M. Ávila, Léo F. |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Beskow, Samuel Nunes, Gabriela S. Mello, Carlos R. de Caldeira, Tamara L. Norton, Lloyd D. Steinmetz, Alice A. Vargas, Marcelle M. Ávila, Léo F. |
dc.subject.por.fl_str_mv |
Direct surface runof Hydrograph Geomorphological approach |
topic |
Direct surface runof Hydrograph Geomorphological approach |
description |
Heavy rainfall in conjunction with an increase in population and intensification of agricultural activities have resulted in countless problems related to flooding in watersheds. Among the techniques available for direct surface runoff (DSR) modeling and flood risk management are the Unit Hydrograph (UH) and Instantaneous Unit Hydrograph (IUH). This study focuses on the evaluation of predictive capability of two conceptual IUH models (Nash and Clark), considering their original (NIUH and CIUH) and geomorphological approaches (NIUHGEO and CIUHGEO), and their advantages over two traditional synthetics UH models – Triangular (TUH) and Dimensionless (DUH), to estimate DSR hydrographs taking as reference two Brazilian watersheds with contrasting geomorphological and climatic characteristics. The main results and conclusions were: i) there was an impact of the differences in physiographical characteristics between watersheds, especially those parameters associated with soil; the dominant rainfall patterns in each watershed had an influence on flood modeling; and ii) CIUH was the most satisfactory model for both watersheds, followed by NIUH, and both models had substantial superiority over synthetic models traditionally employed; iii) although geomorphological approaches for IUH had performances slightly better than TUH and DUH, they should not be considered as standard tools for flood modeling in these watersheds. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2019-04-15T12:39:48Z 2019-04-15T12:39:48Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
BESKOW, S. et al. Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 90, n. 2, p. 1873-1890, 2018. http://repositorio.ufla.br/jspui/handle/1/33579 |
identifier_str_mv |
BESKOW, S. et al. Geomorphology-based unit hydrograph models for flood risk management: case study in brazilian watersheds with contrasting physiographic characteristics. Anais da Academia Brasileira de Ciências, Rio de Janeiro, v. 90, n. 2, p. 1873-1890, 2018. |
url |
http://repositorio.ufla.br/jspui/handle/1/33579 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://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 |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1815439311987802112 |