Green-Ampt Infiltration Models for Varied Field Conditions: A Revisit

Kale, Ravindra V.; Sahoo, Bhabagrahi

doi:10.1007/s11269-011-9868-0

Cited by 79 publications

(40 citation statements)

References 133 publications

(155 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Beven [1984] and Selker et al [1999] also extended the Green and Ampt model for infiltration into soil profiles where pore size varied with depth. A review of the applications of the Green and Ampt model to heterogeneous conditions was provided by Kale and Sahoo [2011].…”

Section: Infiltration In Heterogeneous Soil Profilesmentioning

confidence: 99%

Infiltration into soils: Conceptual approaches and solutions

Assouline

2013

Water Resources Research

211

115

View full text Add to dashboard Cite

[1] Infiltration is a key process in aspects of hydrology, agricultural and civil engineering, irrigation design, and soil and water conservation. It is complex, depending on soil and rainfall properties and initial and boundary conditions within the flow domain. During the last century, a great deal of effort has been invested to understand the physics of infiltration and to develop quantitative predictors of infiltration dynamics. Jean-Yves Parlange and Wilfried Brutsaert have made seminal contributions, especially in the area of infiltration theory and related analytical solutions to the flow equations. This review retraces the landmark discoveries and the evolution of the conceptual approaches and the mathematical solutions applied to the problem of infiltration into porous media, highlighting the pivotal contributions of Parlange and Brutsaert. A historical retrospective of physical models of infiltration is followed by the presentation of mathematical methods leading to analytical solutions of the flow equations. This review then addresses the time compression approximation developed to estimate infiltration at the transition between preponding and postponding conditions. Finally, the effects of special conditions, such as the presence of air and heterogeneity in soil properties, on infiltration are considered.

show abstract

Section: Infiltration In Heterogeneous Soil Profilesmentioning

confidence: 99%

Infiltration into soils: Conceptual approaches and solutions

Assouline

2013

Water Resources Research

211

115

View full text Add to dashboard Cite

show abstract

“…Larger-scale models typically use Green and Ampt or Philip approaches assuming that infiltration is governed by a propagating wetting front depending on soil properties within the soil column (e.g. Kale and Sahoo, 2011;Klar et al, 2008). However, as processes dominating infiltration and surface runoff generation may vary inter-and intra-annually Vivoni et al, 2007) and even within an event (e.g.…”

Section: P Fiener Et Al: Surface Runoff From Arable Fields In Centrmentioning

confidence: 99%

Statistical analysis and modelling of surface runoff from arable fields in central Europe

Fiener

Auerswald²,

Winter³

et al. 2013

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Surface runoff generation on arable fields is an important driver of flooding, on-site and off-site damages by erosion, and of nutrient and agrochemical transport. In general, three different processes generate surface runoff (Hortonian runoff, saturation excess runoff, and return of subsurface flow). Despite the developments in our understanding of these processes it remains difficult to predict which processes govern runoff generation during the course of an event or throughout the year, when soil and vegetation on arable land are passing many states. We analysed the results from 317 rainfall simulations on 209 soils from different landscapes with a resolution of 14 286 runoff measurements to determine temporal and spatial differences in variables governing surface runoff, and to derive and test a statistical model of surface runoff generation independent from an a priori selection of modelled process types. Measured runoff was related to 20 time-invariant soil properties, three variable soil properties, four rain properties, three land use properties and many derived variables describing interactions and curvilinear behaviour. In an iterative multiple regression procedure, six of these properties/variables best described initial abstraction and the hydrograph. To estimate initial abstraction, the percentages of stone cover above 10 % and of sand content in the bulk soil were needed, while the hydrograph could be predicted best from rain depth exceeding initial abstraction, rainfall intensity, soil organic carbon content, and time since last tillage. Combining the multiple regressions to estimate initial abstraction and surface runoff allowed modelling of event-specific hydrographs without an a priori assumption of the underlying process. The statistical model described the measured data well and performed equally well during validation. In both cases, the model explained 71 and 58 % of variability in accumulated runoff volume and instantaneous runoff rate (RSME: 5.2 mm and 0.23 mm min −1 , respectively), while RMSE of runoff volume predicted by the curve number model was 50 % higher (7.7 mm). Stone cover, if it exceeded 10 %, was most important for the initial abstraction, while time since tillage was most important for the hydrograph. Time since tillage is not taken into account either in typical lumped hydrological models (e.g. SCS curve number approach) or in more mechanistic models using Horton, Green and Ampt, or Philip type approaches to address infiltration although tillage affects many physical and biological soil properties that subsequently and gradually change again. This finding should foster a discussion regarding our ability to predict surface runoff from arable land, which seemed to be dominated by agricultural operations that introduce man-made seasonality in soil hydraulic properties.

show abstract

“…potential infiltration rate), taking account of the runon-runoff process within the GRUs during a rain event. Using the Green & Ampt infiltration equation (Kale and Sahoo, 2011), the closure relation for the GRU-scale infiltration flux is defined as e cu,t = −min e ctop,t · t + S t ,…”

Section: Mass-balance Closure Relations For a Geomorphologic Responsementioning

confidence: 99%

“…The amount of rainwater applied to the plot and corresponding generated runoff were measured every minute, from which the infiltration rate can be subsequently derived. The K s value for each experimental plot was determined by curve fitting, in which the K s value was chosen resulting in the best fit to the Green & Ampt infiltration curve (Kale and Sahoo, 2011).…”

Section: Geomorphology Soil and Vegetationmentioning

confidence: 99%

Hortonian runoff closure relations for geomorphologic response units: evaluation against field data

Vannametee

Karssenberg

Hendriks

et al. 2013

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. This paper presents an evaluation of the closure relation for Hortonian runoff, proposed in Vannametee et al. (2012), that incorporates a scaling component to explicitly account for the process heterogeneity and scale effects in runoff generation for the real-world case studies. We applied the closure relation, which was embedded in an eventbased lumped rainfall-runoff model, to a 15 km 2 catchment in the French Alps. The catchment was disaggregated into a number of landform units, referred to as Geomorphologic Response Units (GRUs), to each of which the closure relation was applied. The scaling component in the closure relation was identified using the empirical relations between rainstorm characteristics, geometry, and local-scale measurable properties of the GRUs. Evaluation of the closure relation performance against the observed discharge shows that the hydrograph and discharge volume were quite satisfactorily simulated even without calibration. Performance of the closure relation can be mainly attributed to the use of scaling component, as it is shown that our closure relation outperforms a benchmark closure relation that lacks this scaling component. The discharge prediction is significantly improved when the closure relation is calibrated against the observed discharge, resulting in local-scale GRUproperties optimal for the predictions. Calibration was done by changing one local-scale observable, i.e. hydraulic conductivity (K s ), using a single pre-factor for the entire catchment. It is shown that the calibrated K s values are somewhat comparable to the observed K s values at a local scale in the study catchment. These results suggest that, in the absence of discharge observations, reasonable estimates of catchment-scale runoff responses can possibly be achieved with the observations at the sub-GRU (i.e. plot) scale. Our study provides a platform for the future development of lowdimensional, semi-distributed, physically based discharge models in ungauged catchments.

show abstract

Green-Ampt Infiltration Models for Varied Field Conditions: A Revisit

Cited by 79 publications

References 133 publications

Infiltration into soils: Conceptual approaches and solutions

Infiltration into soils: Conceptual approaches and solutions

Statistical analysis and modelling of surface runoff from arable fields in central Europe

Hortonian runoff closure relations for geomorphologic response units: evaluation against field data

Contact Info

Product

Resources

About