Modeling infiltration during complex rainfall sequences

Corradini, Corrado; Melone, F.; Smith, Roger E.

doi:10.1029/94wr00951

Cited by 66 publications

(43 citation statements)

References 17 publications

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“…Such assumption could lead to some error when the TCA is applied under natural rainfall conditions where r(t) can vary significantly with time . Associated problems to temporal variability in rainfall intensity, such as redistribution and hysteresis, could introduce significant errors in the TCA estimates [Reeves and Miller, 1975;Smith et al, 1993;Corradini et al, 1994;Agnese and Bagarello, 1997;Govindaraju et al, 2006]. In fact, when the rainfall intensity varies significantly with time, the time invariance of q(I) is lost.…”

Section: Postponding Infiltration: Tcamentioning

confidence: 99%

Infiltration into soils: Conceptual approaches and solutions

Assouline

2013

Water Resources Research

209

115

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[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.

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Section: Postponding Infiltration: Tcamentioning

confidence: 99%

Infiltration into soils: Conceptual approaches and solutions

Assouline

2013

Water Resources Research

209

115

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“…Como já mencionado, neste modelo existe uma redistribuição de água no solo pois se considera que, havendo uma estiagem prolongada durante o evento de chuva, o solo deve secar. O método de redistribuição/reinfiltração usado no modelo é descrito em Smith et al (1993), como também em Corradini et al (1994).…”

Section: Infiltração Do Solounclassified

Estimativa da produção de sedimentos mediante uso de um modelo hidrossedimentológico acoplado a um SIG

Silva

Santos

2008

Rev. bras. eng. agríc. ambient.

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RESUMOO Kineros é um modelo hidrossedimentológico usado para se estimar a vazão e a produção de sedimentos em bacias urbanas e rurais. No presente trabalho, o modelo foi aplicado à bacia do rio Pirapama, localizada na zona litorânea do Estado de Pernambuco, cujos resultados foram acoplados a um SIG com o objetivo de identificar, temporal e espacialmente, os principais locais em que o processo de erosão foi mais atuante na bacia do rio Pirapama. O modelo foi calibrado com dados diários de 1990 a 2001 de dois postos pluviométricos. Através do acoplamento dos resultados da modelagem no SIG, foi possível a identificação das principais áreas susceptíveis ao processo erosivo. Os resultados da produção de sedimentos na bacia mostraram que os planos com maior produção produziram mais de 200 t ha -1 ano -1 , perfazendo o total de 653.079 t, correspondentes a uma área de 67,87 km 2 (11,3% da área total da bacia) revelando, assim, que grande parte da bacia é realmente susceptível ao processo de erosão. Este trabalho mostra que o modelo Kineros é viável para bacias maiores que 100 km² e o seu acoplamento ao SIG é de grande valia para a identificação e análise das principais áreas de produção de sedimentos na bacia deste rio podendo ser, assim, considerado ferramenta promissora para simulação da produção de sedimentos em bacias hidrográficas do nordeste brasileiro. Palavras-chave: modelagem, Kineros, modelo físico, Bacia PirapamaSediment yield prediction through the use of a runoff-erosion model coupled to a GIS ABST RACTKineros is a runoff-erosion model used to compute runoff and sediment yield in urban and rural basins. In this paper, the model was applied to the Pirapama river basin, located in the coastal zone of the State of Pernambuco. The obtained results were linked to a GIS in order to temporally and spatially identify the areas susceptible to the erosion process within the Pirapama river basin. The model was calibrated with daily rainfall data from two raingauges for the period from 1990 to 2001. From the coupling of the modeling results into a GIS, it was possible to identify the main areas susceptible to the erosion process. The sediment yield results showed that the planes with the largest erosion yield produced more than 200 t ha -1 year -1 (653,079 t in an area of 67.87 km², 11.3% of the total area). These results also showed that a large part of the basin is indeed susceptible to the erosion process. This study shows that the Kineros model is applicable to basins larger than 100 km² and that its coupling to a GIS proved useful to identify and analyze the main areas with sediment yield within the basin. Thus, the model can be considered as a promising tool for simulation of the sediment yield in basins in northeastern Brazil.

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“…Thus, according to Chavez et al (2007), watershed characteristics such as area, average slope, vegetation cover and soil properties also influence runoff rate and volume. Runoff simulation models transform excess infiltration to runoff either using physically based models (Corradini et al, 1994), or conceptual models (Diskin & Nazimov, 1995), or empirical relations of the Soil Conservation Service (Chahinian et al, 2005). Four widely used infiltration simulation models, as given by Chahinian et al (2005), correspond to two physically based models of Philip and Morel-Seytoux, a Horton conceptual model and the simple Soil Conservation Service model.…”

Section: Introductionmentioning

confidence: 99%

Modelling Interconnectedness of Subsurface Flow Processes from a Simple Conceptual Infiltration Model

Ewemoje¹,

Sangodoyin²

2010

West African Journal of Applied Ecology

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The study determined subsurface flow processes of 92.3 ha catchment area in order to examine functional relationship among the surface and subsurface flow variables from the water balance components data. Days without rainfall had zero infiltration while peak values of infiltrated water corresponded with peak rainfall. However, the Crawford and Linsley infiltration model was deficient by its inability to distinguish between days of zero rainfall and days when rainfall was less than 1.0 mm. Interflow occurred continuously even when there was no rainfall. This was shown to be responsible for the stream flows on dry days. Hence, total subsurface flows, a combination of interflow and groundwater flow, had the two components contributing to stream flow on days with rainfall. On days without rainfall, the interflow component was the only contributor to subsurface flows.

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Modeling infiltration during complex rainfall sequences

Cited by 66 publications

References 17 publications

Infiltration into soils: Conceptual approaches and solutions

Infiltration into soils: Conceptual approaches and solutions

Estimativa da produção de sedimentos mediante uso de um modelo hidrossedimentológico acoplado a um SIG

Modelling Interconnectedness of Subsurface Flow Processes from a Simple Conceptual Infiltration Model

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