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

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  • Ravindra Kale
  • Bhabagrahi Sahoo

Abstract

The Green-Ampt (GA) infiltration model is a simplified version of the physically based full hydrodynamic model, known as the Richards equation. The simplicity and accuracy of this model facilitates for its use in many field problems, such as, infiltration computation in rainfall-runoff modelling, effluent transport in groundwater modelling studies, irrigation management studies including drainage systems etc. The numerous infiltration models based on the Green-Ampt approach have been widely investigated for their applicability in various scenarios of homogeneous soils. However, recent advances in physically based distributed rainfall-runoff modeling demands for the use of improved infiltration models for layered soils with non-uniform initial moisture conditions under varying rainfall patterns to capture the actual infiltration process that exists in nature. The difficulty that modelers are facing now-a-days includes the estimation of time of ponding and the application of the infiltration model to unsteady rainfall events occurring in heterogeneous soil conditions. The investigation in this direction exhibits that only few infiltration models can handle these situations. Hence, it is of vital importance to analyze the usefulness of different variants of the Green-Ampt infiltration models in terms of their degree of accuracy, complexity and applicability limits. This paper provides a brief review of these infiltration models to bring out their usefulness in the rainfall-runoff and irrigation modeling studies as well as the drawbacks associated with these models. Copyright Springer Science+Business Media B.V. 2011

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  • Ravindra Kale & Bhabagrahi Sahoo, 2011. "Green-Ampt Infiltration Models for Varied Field Conditions: A Revisit," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3505-3536, November.
    • Handle: RePEc:spr:waterr:v:25:y:2011:i:14:p:3505-3536
    DOI: 10.1007/s11269-011-9868-0
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    References listed on IDEAS

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    1. George Kargas & Petros Kerkides, 2011. "A Contribution to the Study of the Phenomenon of Horizontal Infiltration," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(4), pages 1131-1141, March.
    2. I. Argyrokastritis & G. Kargas & P. Kerkides, 2009. "Simulation of Soil Moisture Profiles Using K(h) from Coupling Experimental Retention Curves and One-Step Outflow Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(15), pages 3255-3266, December.
    3. Damodhara Rao, M. & Raghuwanshi, N.S. & Singh, R., 2006. "Development of a physically based 1D-infiltration model for irrigated soils," Agricultural Water Management, Elsevier, vol. 85(1-2), pages 165-174, September.
    4. Agus Muntohar & Hung-Jiun Liao, 2010. "Rainfall infiltration: infinite slope model for landslides triggering by rainstorm," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(3), pages 967-984, September.
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    2. Manali Pal & Rajib Maity & Sayan Dey, 2016. "Statistical Modelling of Vertical Soil Moisture Profile: Coupling of Memory and Forcing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1973-1986, April.
    3. Mohammad Dorofki & Ahmed Elshafie & Othman Jaafar & Othman Karim & Sharifah Abdullah, 2014. "A GIS-ANN-Based Approach for Enhancing the Effect of Slope in the Modified Green-Ampt Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 391-406, January.
    4. Qu Simin & Wang Tao & Bao Weimin & Shi Peng & Jiang Peng & Zhou Minmin & Yu Zhongbo, 2013. "Evaluating Infiltration Mechanisms Using Breakthrough Curve and Mean Residence Time," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4579-4590, October.
    5. Shakir Ali & Narayan Ghosh & Ranvir Singh & B. Sethy, 2013. "Generalized Explicit Models for Estimation of Wetting Front Length and Potential Recharge," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2429-2445, May.
    6. Shaohong Li & Peng Cui & Ping Cheng & Lizhou Wu, 2022. "Modified Green–Ampt Model Considering Vegetation Root Effect and Redistribution Characteristics for Slope Stability Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2395-2410, May.
    7. Youssef Kassem & Hüseyin Gökçekuş & Nour Alijl, 2023. "Gridded Precipitation Datasets and Gauge Precipitation Products for Driving Hydrological Models in the Dead Sea Region, Jordan," Sustainability, MDPI, vol. 15(15), pages 1-29, August.
    8. Tabasum Rasool & A. Q. Dar & M. A. Wani, 2021. "Development of a Predictive Equation for Modelling the Infiltration Process Using Gene Expression Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1871-1888, April.
    9. Jui-Hsiang Lo & Qun-Zhan Huang & Shao-Yiu Hsu & Yi-Zhih Tsai & Hong-Yen Lin, 2022. "Evaluating Spatial-Temporal Clogging Evolution in a Meso-Scale Lysimeter," Land, MDPI, vol. 11(9), pages 1-16, September.

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