Skip to main content
SpringerLink
Log in

Comparative Evaluation of Infiltration Models under Different Land Covers

  • INTERACTION BETWEEN CONTINENTAL WATERS AND THE ENVIRONMENT
  • Published:
Water Resources Aims and scope Submit manuscript

Abstract

Quantification of infiltration characteristics of soil is a complex problem because of its variability, selection of suitable infiltration model, and determination of infiltration model parameters which depend on various soil characteristics and land uses. In this study four different infiltration models, namely, Horton, Kostiakov, Modified Kostiakov and Philip were considered. Infiltration experiments, using double-ring infiltrometer, were conducted to measure infiltration rate (f) on three different land covers viz. farmland, built-up and shrubland under the soil textures of clay and sandy clay in an urban sub-basin of lesser Himalayas, India. Predictability of infiltration models for different land covers under given soil textures was assessed by comparing field measured and model-predicted f. The performance of different infiltration models was assessed by computing different statistical indicators, and an overall performance index (OPI) was computed to rank the models. The Horton model was found to be the most suitable infiltration model with highest OPI values of 0.94 for different land covers under the soils of clay and sandy clay texture followed by Philip model. The results of this study will be useful for selecting suitable infiltration model for estimating infiltration rate in water balance modelling, and planning and management of water resources in the study area.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.

Similar content being viewed by others

REFERENCES

  1. Ali, S., Islam, A., Mishra, P.K. and Sikka, A.K., Green-Ampt approximations: A comprehensive analysis, J. Hydrol., 2016, vol. 535, pp. 340–355.

    Article  Google Scholar 

  2. Badar, B., Romshoo, S.A., and Khan, M.A., Modelling catchment hydrological responses in a Himalayan Lake as a function of changing land use and land cover, J. Earth Syst. Sci., 2013, vol. 122, pp. 433–449.

    Article  Google Scholar 

  3. Blacke, G.R. and Hartge, K.H., Bulk density, in Methods of soil analysis. Part1. Physical and Mineralogical Methods, Klute, A., Ed., Soil Science Society of America, Madison, WI, 1986, 2nd ed, pp. 363–375.

    Google Scholar 

  4. Blacke, G.R. and Hartge, K.H., Particle density, in Methods of soil analysis. Part1. Physical and Mineralogical Methods, Klute, A., Ed., Soil Science Society of America, Madison, WI, 1986, pp. 377–382.

    Google Scholar 

  5. Dagadu, J.S. and Nimbalkar, P.T., Infiltration studies of different soils under different soil conditions and comparison of infiltration models with field data, Int. J. Adv. Eng. Technol., 2012, vol. 3, no. 2, pp. 154–157.

    Google Scholar 

  6. Dashtaki, S.G., Homaee, M., Mahdian, M.H., and Kouchakzadeh, M., Site-dependence performance of infiltration models, Water Resour. Manage., 2009, vol. 23, no.13, pp. 2777–2790.

    Article  Google Scholar 

  7. Deep, K. and Das, K.N., Optimization of infiltration parameters in hydrology, World J. Model. Simul., 2008, vol. 4, no. 2, pp. 120–130.

    Google Scholar 

  8. Dingman, S.L., Physical Hydrology, Waveland press, 2015.

    Google Scholar 

  9. Duan, R., Fedler, C.B., and Borrelli, J., Field evaluation of infiltration models in lawn soils, Irrigation Sci., 2011, vol. 29, no.5, pp. 379–389.

    Article  Google Scholar 

  10. Duffera, M., White, J.G., and Weisz, R., Spatial variability of Southeastern US Coastal Plain soil physical properties: Implications for site-specific management, Geoderma, 2007, vol. 137, nos. 3–4, pp. 327–339.

    Article  Google Scholar 

  11. Gee, G.W. and Bauder, J.W., Particle-size analysis, in Methods of Soil Analysis. Part1. Physical and Mineralogical Methods, Klute, A., Ed., Soil Science Society of America, Madison, WI, 1986, pp. 383–412.

    Google Scholar 

  12. Green, W.H. and Ampt, G.A., Studies on Soil Physics, J. Agric. Sci., 1911, vol. 4, no. 1, pp. 1–24.

    Article  Google Scholar 

  13. Grinevskii, S.O. and Novoselova, M.V., Regularities in the formation of groundwater infiltration recharge, Water Resour., 2011, vol. 38, no. 2, pp. 175–186.

    Article  Google Scholar 

  14. Grinevskii, S.O. and Pozdnyakov, S.P., Principles of regional estimation of infiltration groundwater recharge based on geohydrological models, Water Resour., 2010, vol. 37, no. 5, 638–652.

    Article  Google Scholar 

  15. Gupta, H.V., Sorooshian, S., and Yapo, P.O., Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration, J. Hydrol. Eng., 1999, vol. 4, no. 2, pp. 135–143.

    Article  Google Scholar 

  16. Holtan, H.N., Concept for infiltration estimates in watershed engineering, 1961.

  17. Horton, R.E., An approach toward a physical interpretation of infiltration-capacity 1, Soil Sci. Soc. Am. J., 1941, vol. 5, no. C, pp. 399–417.

    Article  Google Scholar 

  18. Kostiakov, A.N., On the dynamics of the coefficient of water-percolation in soils and on the necessity for studying it from a dynamic point of view for purposes of amelioration, In Transactions Congress International Society for Soil Science, 6th, Moscow, Part A, 1932, pp. 17–21.

  19. Machiwal, D., Jha, M.K., and Mal, B.C., Modelling infiltration and quantifying spatial soil variability in a wasteland of Kharagpur, India, Biosyst. Eng., 2006, vol. 95, no. 4, pp. 569–582.

    Article  Google Scholar 

  20. Marquardt, D.W., An algorithm for least-squares estimation of nonlinear parameters, J. Soc. Ind. Appl. Math., 1963, vol. 11, no. 2, pp. 431–441.

    Article  Google Scholar 

  21. Mazloom, H. and Foladmand, H., Evaluation and determination of the coefficients of infiltration models in Marvdasht region, Fars province, Int. J. Adv. Biol. Biomed. Res., 2013, vol. 1, no. 8, pp. 822–829.

    Google Scholar 

  22. Mishra, S.K., Tyagi, J.V., and Singh, V.P., Comparison of infiltration models, Hydrol. Process, 2003, vol. 17, no. 13, pp. 2629–2652.

    Article  Google Scholar 

  23. Nash, J.E. and Sutcliffe J.V., River flow forecasting through conceptual models part I–A discussion of principles, J. Hydrol, 1970, vol. 10, no. 3, pp. 282–290.

    Article  Google Scholar 

  24. Nielsen, D.R. and Bouma, J., Soil Spatial Variability: Proceedings of a Workshop of the ISSS and the SSSA, Las Vegas, USA/Pdc296. Center Agricultural Pub and Document, Pudoc Wageningen, the Netherlands, 1985.

  25. Philip, J.R., The theory of infiltration: 1 The infiltration equation and its solution, Soil. Sci., 1957, vol. 83, no. 5, pp. 345–358.

    Article  Google Scholar 

  26. Richard, L.A., Capillary conduction of liquids through porous mediums, Physics, 1931, vol. 1, no. 5, pp. 318–333.

    Article  Google Scholar 

  27. Skaggs, R.W. and Khaleel, R., Chapter 4: Infiltration. American Society of Agricultural Engineers Monograph Hydrologic Modeling of Small Watersheds, Haan, C.T., Ed, 1982.

    Google Scholar 

  28. Smith, R.E., The infiltration envelope: results from a theoretical infiltrometer, J. Hydrol., vol. 17, nos. 1–2, pp. 1–22. https://doi.org/10.1016/0022-1694(72)90063-7

  29. Smith, R.E. and Parlange, J.Y., A parameter-efficient hydrologic infiltration model, Water. Resour. Res., 1978, vol. 14, no. 3, pp. 533–538.

    Article  Google Scholar 

  30. SPSS, I., SPSS for Mac, Release 20.0. Chicago: SPSS Inc, 2011.

    Google Scholar 

  31. Vasu, D., Singh, S.K., Tiwary, P., Chandran, P., Ray, S.K. and Duraisami, V.P., Pedogenic processes and soil–landform relationships for identification of yield-limiting soil properties, Soil. Res., 2017, vol. 55, no. 3, pp. 273–284.

    Article  Google Scholar 

  32. Walkley, A. and Black, I.A., An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method, Soil. Sci., 1934, vol. 37, no. 1, pp. 29–38.

    Article  Google Scholar 

  33. Wang, Y.Q. and Shao, M.A., Spatial variability of soil physical properties in a region of the Loess Plateau of PR China subject to wind and water erosion, Land. Degrad. Dev., 2013, vol. 24, no. 3, pp. 296–304.

    Article  Google Scholar 

  34. Willmott, C.J., On the validation of models, Phys Geogr., 1981, vol. 2, no. 2, pp. 184–194.

    Article  Google Scholar 

  35. Wilson, R.L., Comparing Infiltration Models to Estimate Infiltration Potential at Henry V Events, 2017.

  36. Zhang, C., Yan, H., Takase, K., and Oue, H., Comparison of the soil physical properties and hydrological processes in two different forest type catchments, Water Resour., 2016, vol. 43, no. 1, pp. 225–237.

    Article  Google Scholar 

  37. Zolfaghari, A.A., Mirzaee, S., and Gorji, M., Comparison of different models for estimating cumulative infiltration, Int. J. Soil. Sci., 2012, vol. 7, no. 3, pp. 108–115.

    Article  Google Scholar 

Download references

ACKNOWLEDGMENTS

The authors are grateful to the Head of Department, Civil Engineering, National Institute of Technology Srinagar for providing adequate laboratory facilities.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

  1. Department of Civil Engineering (Water Resources Engineering), National Institute of Technology, 190006, Hazratbal, Srinagar, J&K, India

    Tabasum Rasool & A. Qayoom. Dar

  2. Division of Soil Science, Sher-e-Kashmir University of Agricultural Sciences and Technology, 193201, Wadura, Sopore, J&K, India

    Mushtaq. A. Wani

Authors
  1. Tabasum Rasool
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Qayoom. Dar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mushtaq. A. Wani
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tabasum Rasool.

Ethics declarations

The authors state that they have no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rasool, T., Dar, A.Q. & Wani, M.A. Comparative Evaluation of Infiltration Models under Different Land Covers. Water Resour 48, 624–634 (2021). https://doi.org/10.1134/S0097807821040175

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0097807821040175

Keywords:

Search

Navigation