On the interaction between infiltration and Hortonian runoff

Corradini, Corrado; Morbidelli, Renato; Melone, F.

doi:10.1016/s0022-1694(97)00100-5

Cited by 93 publications

(73 citation statements)

References 30 publications

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“…Run-on infiltration reduces runoff volume and peak discharge (e.g. Corradini et al, 1998;Assouline and Mualem, 2006). Furthermore, mulch cover (e.g.…”

Section: Effects Of Field Sizementioning

confidence: 99%

Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review

Fiener

Auerswald

Oost

2011

Earth-Science Reviews

124

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a b s t r a c t a r t i c l e i n f oSurface runoff and associated erosion processes adversely affect soil and surface water quality. There is increasing evidence that a sound understanding of spatial-temporal dynamics of land use and management are crucial to understanding surface runoff processes and underpinning mitigation strategies. In this review, we synthesise the effects of (1) temporal patterns of land management of individual fields, and (2) spatio-temporal interaction of several fields within catchments by applying semivariance analysis, which allows the extent and range of the different patterns to be compared. Consistent effects of management on the temporal dynamics of surface runoff of individual fields can be identified, some of which have been incorporated into small-scale hydrological models. In contrast, the effects of patchiness, the spatial organisation of patches with different soil hydrological properties, and the effects of linear landscape structures are less well understood and are rarely incorporated in models. The main challenge for quantifying these effects arises from temporal changes within individual patches, where the largest contrasts usually occur in mid-summer and cause a seasonally varying effect of patchiness on the overall catchment response. Some studies indicate that increasing agricultural patchiness, due to decreasing field sizes, reduces the catchment-scale response to rainfall, especially in cases of Hortonian runoff. Linear structures associated with patchiness of fields (e.g. field borders, ditches, and ephemeral gullies) may either increase or decrease the hydraulic connectivity within a catchment. The largest gap in research relates to the effects and temporal variation of patch interaction, the influence of the spatial organisation of patches and the interaction with linear structures. In view of the substantial changes in the structure of agricultural landscapes occurring throughout the world, it is necessary to improve our knowledge of the influence of patchiness and connectivity, and to implement this knowledge in new modelling tools.

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“…Run-on infiltration reduces runoff volume and peak discharge (e.g. Corradini et al, 1998;Assouline and Mualem, 2006). Furthermore, mulch cover (e.g.…”

Section: Effects Of Field Sizementioning

confidence: 99%

Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review

Fiener

Auerswald

Oost

2011

Earth-Science Reviews

124

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“…Therefore, infiltration variability and microtopography, two properties that may be spatially correlated, give rise to the runoff-runon process. That is, runoff generated on an area with low infiltration capacity flows downslope and may infiltrate in another area with higher infiltration capacity [Hawkins and Cundy, 1987;Saghafian et al, 1995;Corradini et al, 1998]. …”

Section: Introductionmentioning

confidence: 99%

1-D steady state runoff production in light of queuing theory: Heterogeneity, connectivity, and scale

Harel

Mouche

2013

Water Resour. Res.

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[1] We used the frameworks of queuing theory and connectivity to study the runoff generated under constant rainfall on a one-dimensional slope with randomly distributed infiltrability. The equivalence between the stationary runoff-runon equation and the customers waiting time in a single server queue provides a theoretical link between the statistical description of infiltrability and that of runoff flow rate. Five distributions of infiltrability, representing soil heterogeneities at different scales, are considered: four uncorrelated (exponential, bimodal, lognormal, uniform) and one autocorrelated (lognormal, with or without a nugget). The existing theoretical results are adapted to the hydrological framework for the exponential case, and new theoretical developments are proposed for the bimodal law. Numerical simulations validate these results and improve our understanding of runoff-runon for all of the distributions. The quantities describing runoff generation (runoff one-point statistics) and its organization into patterns (patterns statistics and connectivity) are studied as functions of rainfall rate. The variables describing the wet areas are also compared to those describing the rainfall excess areas, i.e., the areas where rainfall exceeds infiltrability. Preliminary results concerning the structural and functional connectivity functions are provided, as well as a discussion about the origin of scale effects in such a system. We suggest that the upslope no-flow boundary condition may be responsible for the dependence of the runoff coefficient on the scale of observation. Queuing theory appears to be a promising framework for runoff-runon modeling and hydrological connectivity problems.Citation: Harel, M.-A., and E. Mouche (2013), 1-D steady state runoff production in light of queuing theory: Heterogeneity, connectivity, and scale, Water Resour. Res., 49,[7973][7974][7975][7976][7977][7978][7979][7980][7981][7982][7983][7984][7985][7986][7987][7988][7989][7990][7991]

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“…Fifty sets of conductivity and roughness maps were generated using the above method. Previous sensitivity analyses (Saghafian et al, 1995;Corradini et al, 1998) showed that 50 simulations are sufficient to encompass most of the runoff response variability due to the stochastic variation of K s . The analysis focuses on the following outflow characteristics at the outlet, averaged over each set of 50 runs: initiation time, volume and peak discharge.…”

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confidence: 99%

Impact on Sahelian runoff of stochastic and elevation‐induced spatial distributions of soil parameters

Séguis

Cappelaere

Peugeot

et al. 2002

Hydrological Processes

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Abstract:Topography controls surface flows, and thereby exerts a significant action on soil formation. At the hillslope scale, infiltrability of the surface horizon varies gradually along the slope. In semi-arid zones, and especially in the Sahel, runoff is Hortonian and depends mainly on the hydraulic properties of the soil surface horizon (saturated hydraulic conductivity K s and hydraulic roughness of the soil surface n). Using the fully distributed hydrologic model r.water.fea as an experimentation tool, this paper investigates the effects of various spatial distributions of K s (deterministic, stochastic or a combination of both, all with an invariant global mean) and related n (taken as fully correlated to K s ) on the outflow of a small catchment representative of Sahelian conditions. In addition to a uniform distribution used as reference, deterministic distributions here consist of linear variations of K s with elevation. A stochastic component is then added by drawing from a log-normal distribution with different variation coefficients C v . Both hypothetical and real rainstorm events are tested.All K s distributions studied produce hydrographs that are very close to the uniform K s case when rainfall is long and intense. For most other rain events, runoff increases with K s variability. Whatever the rainfall event and C v , outflow is greater when the less infiltrative surfaces are located downhill. The ratio of deterministic to purely stochastic variation is a good indication of the relative importance of the two K s variation sources for catchment runoff. Given the high local-scale (stochastic) soil variability typically encountered, only strong catchment-scale contrasts really deserve to be included in the K s distribution for runoff modelling of all but insignificant events. Spatial K s representation can be further simplified down to a uniform distribution, when only a seasonal water yield is the required result.

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On the interaction between infiltration and Hortonian runoff

Cited by 93 publications

References 30 publications

Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review

Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review

1-D steady state runoff production in light of queuing theory: Heterogeneity, connectivity, and scale

Impact on Sahelian runoff of stochastic and elevation‐induced spatial distributions of soil parameters

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