Comparison of roughness models to simulate overland flow and tracer transport experiments under simulated rainfall at plot scale

Mügler, Claude; Planchon, Olivier; Patin, Jérémy; Weill, Sylvain; Silvera, Norbert; Richard, Patrick; Mouche, Emmanuel

doi:10.1016/j.jhydrol.2011.02.032

Cited by 80 publications

(84 citation statements)

References 36 publications

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“…Flowing in the x-y space, with varying velocity depending on the local altitude gradient along its border, such that d(t) is inversely related to the slope of the underlying soil surface. This relation would follow Darcy's general form of frictional law (Dingman, 2007;Mügler et al, 2011):…”

Section: A(t): Wet Area Of Overland Plume At Time T (Mm 2 )mentioning

confidence: 97%

“…Usual procedures to study run-off-infiltration processes involve the use of hydrological models based on hydrograph records. Although a large body of literature has been devoted to the criteria used to inspect hydrograph records (Ewen, 2011), less attention has been paid to the fact that many hydrological models that can accurately reproduce hydrograph records, produce severely biased estimates of overland flow velocities (Mügler et al, 2011;Legout et al, 2012) or Reynolds-Froude numbers (Tatard et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Experiments and models on overland flow have extensively used so-called kinematic wave reduced solutions to the Saint-Venant (S-V) equations (Mügler et al, 2011;Thompson et al, 2011). The numerical solutions of these reductions require the estimation of frictional effects acting on overland flow.…”

Section: Introductionmentioning

confidence: 99%

“…The term usually refers to laboratory (Antoine et al, 2011;Dunkerley, 2001Dunkerley, , 2002Legout et al, 2012) or field (Esteves et al, 2000;Mengitsu et al, 2012) studies involving areas in the scale of some few square meters, where water inflow conditions can be manipulated with varying success. Plot studies on overland flows sometimes use natural rainfall falling on the plot as water input (Esteves et al, 2000) or a controlled water inflow either through rain simulation over the whole plot surface (Abrahams et al, 1990;Biemelt et al, 2005;Mügler et al, 2011), or through drippers, perforated pipes, etc. at the top of the plots (Dunkerley, 2001(Dunkerley, , 2003Hessel et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Plot studies usually require some disturbance of naturally occurring conditions, like constructing flumes (Esteves et al, 2000;Giménez et al, 2004), modifying the soil surface to obtain desired flow channels (Mügler et al, 2011) or simulating the soil surface with technical artifacts (Dunkerley, 2003). Rainfall-run-off plot experiments where a device is used to generate rainfall events mimicking natural conditions may also require measuring the water flow at an outlet in order to compute water mass balances (Grierson and Oades, 1977;Cerdá et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

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Depression storage and infiltration effects on overland flow depth-velocity-friction at desert conditions: field plot results and model

Rossi

Ares

2012

Hydrol. Earth Syst. Sci.

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Abstract. Water infiltration and overland flow are relevant in considering water partition among plant life forms, the sustainability of vegetation and the design of sustainable hydrological models and management. In arid and semi-arid regions, these processes present characteristic trends imposed by the prevailing physical conditions of the upper soil as evolved under water-limited climate. A set of plot-scale field experiments at the semi-arid Patagonian Monte (Argentina) were performed in order to estimate the effect of depression storage areas and infiltration rates on depths, velocities and friction of overland flows. The micro-relief of undisturbed field plots was characterized at z-scale 1 mm through close-range stereo-photogrammetry and geo-statistical tools. The overland flow areas produced by controlled water inflows were video-recorded and the flow velocities were measured with image processing software. Antecedent and postinflow moisture were measured, and texture, bulk density and physical properties of the upper soil were estimated based on soil core analyses. Field data were used to calibrate a physically-based, mass balanced, time explicit model of infiltration and overland flows. Modelling results reproduced the time series of observed flow areas, velocities and infiltration depths. Estimates of hydrodynamic parameters of overland flow (Reynolds-Froude numbers) are informed. To our knowledge, the study here presented is novel in combining several aspects that previous studies do not address simultaneously: (1) overland flow and infiltration parameters were obtained in undisturbed field conditions; (2) field measurements of overland flow movement were coupled to a detailed analysis of soil microtopography at 1 mm depth scale; (3) the effect of depression storage areas in infiltration rates and depth-velocity friction of overland flows is addressed. Relevance of the results to other similar desert areas is justified by the accompanying biogeography analysis of similarity of the environment where this study was performed with other desert areas of the world.

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Section: A(t): Wet Area Of Overland Plume At Time T (Mm 2 )mentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Depression storage and infiltration effects on overland flow depth-velocity-friction at desert conditions: field plot results and model

Rossi

Ares

2012

Hydrol. Earth Syst. Sci.

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A faster numerical scheme for a coupled system modeling soil erosion and sediment transport

Cordier

Lucas

2015

Water Resources Research

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Overland flow and soil erosion play an essential role in water quality and soil degradation.Such processes, involving the interactions between water flow and the bed sediment, are classically described by a well-established system coupling the shallow water equations and the Hairsine-Rose model. Numerical approximation of this coupled system requires advanced methods to preserve some important physical and mathematical properties; in particular, the steady states and the positivity of both water depth and sediment concentration. Recently, finite volume schemes based on Roe's solver have been proposed by Heng et al. (2009) and Kim et al. (2013) for one and two-dimensional problems. In their approach, an additional and artificial restriction on the time step is required to guarantee the positivity of sediment concentration. This artificial condition can lead the computation to be costly when dealing with very shallow flow and wet/dry fronts. The main result of this paper is to propose a new and faster scheme for which only the CFL condition of the shallow water equations is sufficient to preserve the positivity of sediment concentration. In addition, the numerical procedure of the erosion part can be used with any well-balanced and positivity preserving scheme of the shallow water equations. The proposed method is tested on classical benchmarks and also on a realistic configuration.

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Physically based modeling in catchment hydrology at 50: Survey and outlook

2015

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Integrated, process‐based numerical models in hydrology are rapidly evolving, spurred by novel theories in mathematical physics, advances in computational methods, insights from laboratory and field experiments, and the need to better understand and predict the potential impacts of population, land use, and climate change on our water resources. At the catchment scale, these simulation models are commonly based on conservation principles for surface and subsurface water flow and solute transport (e.g., the Richards, shallow water, and advection‐dispersion equations), and they require robust numerical techniques for their resolution. Traditional (and still open) challenges in developing reliable and efficient models are associated with heterogeneity and variability in parameters and state variables; nonlinearities and scale effects in process dynamics; and complex or poorly known boundary conditions and initial system states. As catchment modeling enters a highly interdisciplinary era, new challenges arise from the need to maintain physical and numerical consistency in the description of multiple processes that interact over a range of scales and across different compartments of an overall system. This paper first gives an historical overview (past 50 years) of some of the key developments in physically based hydrological modeling, emphasizing how the interplay between theory, experiments, and modeling has contributed to advancing the state of the art. The second part of the paper examines some outstanding problems in integrated catchment modeling from the perspective of recent developments in mathematical and computational science.

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Comparison of roughness models to simulate overland flow and tracer transport experiments under simulated rainfall at plot scale

Cited by 80 publications

References 36 publications

Depression storage and infiltration effects on overland flow depth-velocity-friction at desert conditions: field plot results and model

Depression storage and infiltration effects on overland flow depth-velocity-friction at desert conditions: field plot results and model

A faster numerical scheme for a coupled system modeling soil erosion and sediment transport

Physically based modeling in catchment hydrology at 50: Survey and outlook

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