Overland flow and infiltration modelling for small plots during unsteady rain: numerical results versus observed values

Estèves, Michel; Faucher, Xavier; Galle, Sylvie; Vauclin, Michel

doi:10.1016/s0022-1694(00)00155-4

Cited by 146 publications

(153 citation statements)

References 27 publications

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“…Further, by increasing the detention storage of the catchment area, the run-off volume is also changed increasingly; but the peak runoff rate changes will be firstly decreasing, and then increasing. The results gained confirm the Esteves et al research and also the Hsu research findings [Esteves et al, 2000 andHsu et al, 2002]. The way the detention storage affects the runoff depth, the run-off peak and the cumulative infiltration indexes has been represented in fig.…”

Section: B) the Effect Of The Hydraulic Conductivity (K)supporting

confidence: 85%

“…In 1978 and 1983, Chu used the said model for converting the raw rainfall into the excess rainfall in unsteady conditions and divided the infiltration into two stages of before ponding and during the surface ponding [Chu, 1978[Chu, , 1983. Esteves et al (2000) investigated the surface flows and the infiltration models in unsteady rainfall conditions and comparing between the numerical results and the observation values as well as the ponding phenomenon and detention storage effects on the runoff rate [Esteves et al,2000]. Swartzendruber (2000) investigated the effect of the initial ponding time, hydraulic conductivity coefficient, and interaction of the infiltration model (G-A) and binomial infiltration equation, and introduced a suitable resolving method for binomial infiltration equation using the (G-A) model [Swartzendruber, 2000].…”

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confidence: 99%

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Description of the G-A Infiltration Model Using Chu and Chow Viewpoints

Vaghefi¹,

Rahideh²

2011

Journal of Applied Sciences and Environmental Management

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ABSTRACT:The soil infiltration process is one of the hydrological cycle processes, attracting the attention of the hydrologists more than any other process. This process provides conversion of the raw rainfall into the excess rainfall; and ultimately the excess rainfall is used for describing the rainfall-runoff models. In most of the infiltration models, the rainfall is introduced to the model as steady and is converted into the excess rainfall. In this paper, through using Green-Ampt model and the double-ring tests results performed in seven pits in one of the indicator catchment south of the country, the model parameters have been estimated, and the excess rainfall resulting from the unsteady raw rainfall has been calculated using deterministic model and using two entirely different viewpoints. After making sure of the conditions and limitations of both viewpoints, the necessary grounds have been provided for distinguishing between time scale implemented in the model and time scale used for observation of the unsteady rainfall as well as their influence on such indexes as the runoff depth, the runoff peak and the cumulative infiltration. The bright point of this paper is consideration of the difference between the concepts of "Model Time Scale" and "Observation Time Scale". Taking into notice of the change trend of infiltration, run-off and their change ratios against the changes of these two time scales, the researcher must suitably select between the "Model Time Scale" and "Observation Time Scale" of the rainfall and considers the optimum value of these time intervals in calculation of the excess rainfall and their influence on the run-off rainfall models. @ JASEM

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Section: B) the Effect Of The Hydraulic Conductivity (K)supporting

confidence: 85%

mentioning

confidence: 99%

Description of the G-A Infiltration Model Using Chu and Chow Viewpoints

Vaghefi¹,

Rahideh²

2011

Journal of Applied Sciences and Environmental Management

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“…Results obtained by Esteves et al (2000) in laboratory run-off plots, indicate that despite the soil being represented by only one set of parameters, infiltration was not homogeneous all over the plot surfaces. They concluded that the microtopography had a strong effect on observed flow directions, producing small ponds along the paths of flow and altering the flow depths and velocity fields.…”

Section: Introductionmentioning

confidence: 93%

“…Moreover, the choice of roughness models to be used in the S-V equations is most often done with the purpose of increasing the hydrograph quality, while the actual travel time of water is ignored. In extended hydrological practice, frictional factors are usually taken from published tables or assumed spatially constant (Esteves et al, 2000).…”

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%

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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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Constraining the relative importance of raindrop‐ and flow‐driven sediment transport mechanisms in postwildfire environments and implications for recovery time scales

et al. 2016

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Mountain watersheds recently burned by wildfire often experience greater amounts of runoff and increased rates of sediment transport relative to similar unburned areas. Given the sedimentation and debris flow threats caused by increases in erosion, more work is needed to better understand the physical mechanisms responsible for the observed increase in sediment transport in burned environments and the time scale over which a heightened geomorphic response can be expected. In this study, we quantified the relative importance of different hillslope erosion mechanisms during two postwildfire rainstorms at a drainage basin in Southern California by combining terrestrial laser scanner‐derived maps of topographic change, field measurements, and numerical modeling of overland flow and sediment transport. Numerous debris flows were initiated by runoff at our study area during a long‐duration storm of relatively modest intensity. Despite the presence of a well‐developed rill network, numerical model results suggest that the majority of eroded hillslope sediment during this long‐duration rainstorm was transported by raindrop‐induced sediment transport processes, highlighting the importance of raindrop‐driven processes in supplying channels with potential debris flow material. We also used the numerical model to explore relationships between postwildfire storm characteristics, vegetation cover, soil infiltration capacity, and the total volume of eroded sediment from a synthetic hillslope for different end‐member erosion regimes. This study adds to our understanding of sediment transport in steep, postwildfire landscapes and shows how data from field monitoring can be combined with numerical modeling of sediment transport to isolate the processes leading to increased erosion in burned areas.

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Overland flow and infiltration modelling for small plots during unsteady rain: numerical results versus observed values

Cited by 146 publications

References 27 publications

Description of the G-A Infiltration Model Using Chu and Chow Viewpoints

Description of the G-A Infiltration Model Using Chu and Chow Viewpoints

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

Constraining the relative importance of raindrop‐ and flow‐driven sediment transport mechanisms in postwildfire environments and implications for recovery time scales

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