Experimental study of the water depth and rainfall intensity effects on the bed roughness coefficient used in distributed urban drainage models

Fraga, Ignacio; Cea, Luís; Puertas, Jerónimo

doi:10.1016/j.jhydrol.2013.10.005

Cited by 28 publications

(25 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The presence of different types of vegetation and microtopography features which are not resolved by the DTM increase the value of the effective roughness coefficient, which has to account for all these unresolved features. Manning numbers much larger than those commonly used in river hydraulics applications, and which depend on the vegetative cover, the microtopography, the rainfall intensity and the water depth have been previously reported in computations involving rainfall‐runoff transformation over rough terrains [ Engman , ; Fraga et al ., ; Muñoz‐Carpena et al ., ; Wilson et al ., ]. Since no calibration data are available for this test case, the same Manning coefficient was used with all the schemes, which was fixed to a value of 0.15, constant in the whole catchment.…”

Section: Test Cases and Resultsmentioning

confidence: 99%

A simple and efficient unstructured finite volume scheme for solving the shallow water equations in overland flow applications

Cea

Castellet

2015

Water Resources Research

176

120

View full text Add to dashboard Cite

This paper presents the decoupled hydrological discretization (DHD) scheme for solving the shallow water equations in hydrological applications involving surface runoff in rural and urban basins. The name of the scheme is motivated by the fact that the three equations which form the two-dimensional shallow water system are discretized independently from each other and thus, the numerical scheme is decoupled in a mathematical sense. Its main advantages compared to other classic finite volume schemes for the shallow water equations are its simplicity to code and the lower computational cost per time step. The validation of the scheme is presented in five test cases involving overland flow and rainfall-runoff transformation over topographies of different complexity. The scheme is compared to the finite volume scheme of Roe (1986), to the simple inertia formulation, and to the diffusive wave model. The test cases show that the DHD scheme is able to compute subcritical and supercritical flows in rural and urban environments, and that in overland flow applications it gives similar results to the second-order scheme of Roe with a lower computational cost. The results obtained with the simple inertia and diffusive wave models are very similar to those obtained with the DHD scheme in rural basins in which the bed friction and topography dominate the flow hydrodynamics but they deteriorate in typical urban configurations in which the presence of supercritical flow conditions and small-scale patterns boost the relevance of the inertial terms in the momentum equations.

show abstract

Section: Test Cases and Resultsmentioning

confidence: 99%

A simple and efficient unstructured finite volume scheme for solving the shallow water equations in overland flow applications

Cea

Castellet

2015

Water Resources Research

176

120

View full text Add to dashboard Cite

show abstract

“…where g is the gravitational acceleration and s f is the energy slope vector. Various formulations have been proposed for s f [18,25,24,38,34]. Numerical experiments and simulations of eld-scale hydraulic transients show that energy losses are best described by introducing two types of momentum source terms [24].…”

Section: Solidmentioning

confidence: 99%

“…As far as the bottom friction model (16b) is concerned, a constant n M as used in Equation (16b) is deemed insucient. The eect of rainfall and small water depths are known to inuence the roughness coecient signicantly [7,18,27,44]. Experimental studies indicate threshold eects with respect to the water depth and Reynolds number for the roughness coecient, with a predominant eect of the Reynolds number [18].…”

Section: Momentum Source Termsmentioning

confidence: 99%

Flux closures and source term models for shallow water models with depth-dependent integral porosity

Guinot

Delenne

Rousseau

et al. 2018

Advances in Water Resources

View full text Add to dashboard Cite

A two-dimensional shallow water model with depth-dependent porosity is presented. The purpose is the coarse grid simulation of shallow ows over complex topographies and geometries. Two ux closures are examined: the Integral Porosity (IP) and Dual Integral Porosity (DIP) closures. Energy losses are described using a subgrid scale model that accounts for bottom and wall friction, transient momentum dissipation and energy losses induced by obstacle submersion. A complete wave propagation property analysis is provided for the IP and DIP closures, yielding more accurate numerical stability constraints than published previously. Five computational examples are presented, including transients in compound and meandering channels, urban dambreak problems with building submersion and runo over variable microtopography. The ability of the model to deal with subgrid-scale features is conrmed. The DIP ux is shown to be superior to the IP closure. The transient dissipation term is essential in reproducing the eect of obstacles and microtopography. Distinguishing between the building wall-and building roof-induced friction is seen to be essential. The model is validated successfully against a scale model experimental dataset for the submersion of a coastal urban area by a tsunami wave.

show abstract

“…The calibrated parameters are shown in Table . The order of magnitude of the Manning coefficient, which oscillates between 0.2 and 0.8 sm −1/3 , is consistent with values reported in the literature for overland flows (Engman, ; Muñoz‐Carpena et al ., ; Wilson and Horritt, ; Fraga et al ., ), which depend on the vegetative cover, micro‐topography, rainfall intensity and water depth. The differences in the calibrated Manning coefficient from one event to another might be explained by differences in the characteristics of the micro‐topography during the 4 years in which the five events took place, as well as by the fact that its numerical calibration might account for all sorts of model deficiencies (Lane, ).…”

Section: Methodsmentioning

confidence: 99%

Impact of model simplifications on soil erosion predictions: application of the GLUE methodology to a distributed event‐based model at the hillslope scale

Cea

Legoût

Grangeon

et al. 2015

Hydrological Processes

Self Cite

View full text Add to dashboard Cite

International audienceIn this paper, we analyse how the performance and calibration of a distributed event-based soil erosion model at the hillslopescale is affected by different simpliﬁcations on the parameterizations used to compute the production of suspended sediment byrainfall and runoff. Six modelling scenarios of different complexity are used to evaluate the temporal variability of thesedimentograph at the outlet of a 60 m long cultivated hillslope. The six scenarios are calibrated within the generalized likelihooduncertainty estimation framework in order to account for parameter uncertainty, and their performance is evaluated againstexperimental data registered during ﬁve storm events. The Nash–Sutcliffe efﬁciency, percent bias and coverage performanceratios show that the sedimentary response of the hillslope in terms of mass ﬂux of eroded soil can be efﬁciently captured by amodel structure including only two soil erodibility parameters, which control the rainfall and runoff production of suspendedsediment. Increasing the number of parameters makes the calibration process more complex without increasing in a noticeablemanner the predictive capability of the model

show abstract

Experimental study of the water depth and rainfall intensity effects on the bed roughness coefficient used in distributed urban drainage models

Cited by 28 publications

References 28 publications

A simple and efficient unstructured finite volume scheme for solving the shallow water equations in overland flow applications

A simple and efficient unstructured finite volume scheme for solving the shallow water equations in overland flow applications

Flux closures and source term models for shallow water models with depth-dependent integral porosity

Impact of model simplifications on soil erosion predictions: application of the GLUE methodology to a distributed event‐based model at the hillslope scale

Contact Info

Product

Resources

About