Sensitivity analysis of surface runoff generation in urban flood forecasting

Detalhes bibliográficos
Autor(a) principal: Simões, N. E.
Data de Publicação: 2010
Outros Autores: Leitão, J. P., Maksimovic, C., Sá Marques, A., Pina, R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1001468
Resumo: Reliable flood forecasting requires hydraulic models capable to estimate pluvial flooding fast enough in order to enable successful operational responses. Increased computational speed can be achieved by using a 1D/1D model, since 2D models are too computationally demanding. Further changes can be made by simplifying 1D network models, removing and by changing some secondary elements. The Urban Water Research Group (UWRG) of Imperial College London developed a tool that automatically analyses, quantifies and generates 1D overland flow network. The overland flow network features (ponds and flow pathways) generated by this methodology are dependent on the number of sewer network manholes and sewer inlets, as some of the overland flow pathways start at manholes (or sewer inlets) locations. Thus, if a simplified version of the sewer network has less manholes (or sewer inlets) than the original one, the overland flow network will be consequently different. This paper compares different overland flow networks generated with different levels of sewer network skeletonisation. Sensitivity analysis is carried out in one catchment area in Coimbra, Portugal, in order to evaluate overland flow network characteristics.
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spelling Sensitivity analysis of surface runoff generation in urban flood forecastingDual drainageFlood forecastingSimplification of sewer and overland networksReliable flood forecasting requires hydraulic models capable to estimate pluvial flooding fast enough in order to enable successful operational responses. Increased computational speed can be achieved by using a 1D/1D model, since 2D models are too computationally demanding. Further changes can be made by simplifying 1D network models, removing and by changing some secondary elements. The Urban Water Research Group (UWRG) of Imperial College London developed a tool that automatically analyses, quantifies and generates 1D overland flow network. The overland flow network features (ponds and flow pathways) generated by this methodology are dependent on the number of sewer network manholes and sewer inlets, as some of the overland flow pathways start at manholes (or sewer inlets) locations. Thus, if a simplified version of the sewer network has less manholes (or sewer inlets) than the original one, the overland flow network will be consequently different. This paper compares different overland flow networks generated with different levels of sewer network skeletonisation. Sensitivity analysis is carried out in one catchment area in Coimbra, Portugal, in order to evaluate overland flow network characteristics.IWA2011-01-05T10:59:36Z2014-10-20T12:58:43Z2017-04-12T16:05:16Z2010-01-01T00:00:00Z2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1001468eng0273-1223Simões, N. E.Leitão, J. P.Maksimovic, C.Sá Marques, A.Pina, R.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-13T03:02:51Zoai:localhost:123456789/1001468Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:38:44.009883Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Sensitivity analysis of surface runoff generation in urban flood forecasting
title Sensitivity analysis of surface runoff generation in urban flood forecasting
spellingShingle Sensitivity analysis of surface runoff generation in urban flood forecasting
Simões, N. E.
Dual drainage
Flood forecasting
Simplification of sewer and overland networks
title_short Sensitivity analysis of surface runoff generation in urban flood forecasting
title_full Sensitivity analysis of surface runoff generation in urban flood forecasting
title_fullStr Sensitivity analysis of surface runoff generation in urban flood forecasting
title_full_unstemmed Sensitivity analysis of surface runoff generation in urban flood forecasting
title_sort Sensitivity analysis of surface runoff generation in urban flood forecasting
author Simões, N. E.
author_facet Simões, N. E.
Leitão, J. P.
Maksimovic, C.
Sá Marques, A.
Pina, R.
author_role author
author2 Leitão, J. P.
Maksimovic, C.
Sá Marques, A.
Pina, R.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Simões, N. E.
Leitão, J. P.
Maksimovic, C.
Sá Marques, A.
Pina, R.
dc.subject.por.fl_str_mv Dual drainage
Flood forecasting
Simplification of sewer and overland networks
topic Dual drainage
Flood forecasting
Simplification of sewer and overland networks
description Reliable flood forecasting requires hydraulic models capable to estimate pluvial flooding fast enough in order to enable successful operational responses. Increased computational speed can be achieved by using a 1D/1D model, since 2D models are too computationally demanding. Further changes can be made by simplifying 1D network models, removing and by changing some secondary elements. The Urban Water Research Group (UWRG) of Imperial College London developed a tool that automatically analyses, quantifies and generates 1D overland flow network. The overland flow network features (ponds and flow pathways) generated by this methodology are dependent on the number of sewer network manholes and sewer inlets, as some of the overland flow pathways start at manholes (or sewer inlets) locations. Thus, if a simplified version of the sewer network has less manholes (or sewer inlets) than the original one, the overland flow network will be consequently different. This paper compares different overland flow networks generated with different levels of sewer network skeletonisation. Sensitivity analysis is carried out in one catchment area in Coimbra, Portugal, in order to evaluate overland flow network characteristics.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01T00:00:00Z
2010
2011-01-05T10:59:36Z
2014-10-20T12:58:43Z
2017-04-12T16:05:16Z
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