4.5 Article

A comparison of three dual drainage models: shallow water vs local inertial vs diffusive wave

期刊

JOURNAL OF HYDROINFORMATICS
卷 19, 期 3, 页码 331-348

出版社

IWA PUBLISHING
DOI: 10.2166/hydro.2017.075

关键词

diffusive wave equations; dual drainage; local inertial equations; shallow water equations; urban flooding

资金

  1. FCT (Portuguese Foundation for Science and Technology) [SFRH/BD/81869/2011]
  2. POPH/FSE program (Programa Operacional Potencial Humano/Fundo Social Europeu)
  3. Portuguese Foundation for Science and Technology (FCT) [UID/MAR/04292/2013]
  4. United Kingdom NERC Flooding from Intense Rainfall programme [NE/K00896X/1]
  5. EPSRC [EP/F037422/1] Funding Source: UKRI
  6. NERC [NE/K00896X/1] Funding Source: UKRI
  7. Fundação para a Ciência e a Tecnologia [SFRH/BD/81869/2011] Funding Source: FCT
  8. Engineering and Physical Sciences Research Council [EP/F037422/1] Funding Source: researchfish
  9. Natural Environment Research Council [NE/K00896X/1] Funding Source: researchfish

向作者/读者索取更多资源

In this study we compared three overland flow models, a full dynamic model (shallow water equation), a local inertial equations model (gravity wave model), and a diffusive wave model (parallel diffusive wave model). The three models are coupled with the same full dynamic sewer network model (SIPSON). We adopted the volume exchange between sewer and overland flow models, and the hydraulic head and discharge rates at the linked manholes to evaluate differences between the models. For that purpose we developed a novel methodology based on RGB scale. The test results of a real case study show a close agreement between coupled models in terms of the extents of flooding, depth and volume exchanged, despite highly complex flows and geometries. The diffusive wave model gives slightly higher maximum flood depths and a slower propagation of the flood front when compared to the other two models. The local inertial model shows to a slight extent higher depths downstream as the wave front is slower than the one in the fully dynamic model. Overall, the simplified overland models can produce comparable results to fully dynamic models with less computational cost.

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