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Farid, H.U., Mahmood-Khan, Z., Ahmad, I., Shakoor, A., Anjum, M.N., Iqbal, M. M., Mubeen, M. and Asghar, M. (2019) Estimation of Infiltration Models Parameters and their Comparison to Simulate the Onsite Soil Infiltration Characteristics. International Journal of Agricultural and Biological Engineering, 12, 84-91.
https://doi.org/10.25165/j.ijabe.20191203.4015

has been cited by the following article:

• TITLE: Estimation of Infiltration Models’ Parameters Using Regression Analysis in Irrigation Fields of Northern Ghana

  AUTHORS: Abdallah Salifu, Felix. K. Abagale, Gordana Kranjac-Berisavljevic

  KEYWORDS: Parameter, Infiltration Model, Regression, Sorptivity, Transmissivity

  JOURNAL NAME: Open Journal of Soil Science, Vol.11 No.3, March 16, 2021

  ABSTRACT: The quantification of soil infiltration is necessary for the estimation of water accessibility in soils for plant growth and development. Field infiltration tests runs were conducted on agricultural soils in three irrigation sites of Northern Ghana. The field data were fitted into Green and Ampt, Kostiakov, Philip, Holtan, Soil Conservation Service and Horton infiltration models for the determination of the unknown model parameters. Regression analysis at 95% confidence level using GraphPad Prism 8. Laboratory and field data on infiltration were used for the model fitting and the unknown parameters were determined using the calibrated models. The k and n parameters of Kostiakov model at Bontanga study site were found to be k = 28.0027 and n = 0.5902, k = 17.0294 and n = 0.4504 for Golinga and k = 23.0356 and n = 0.6339 for Libga. For all the models, the coefficient of determination ranged from 0.7612 to 0.9876 indicating strong relationships. Only Holtan model gave different values at all the three study sites. The parameter GIa and ic of the Holtan model drawn from hydrologic soil group were the same at all the study sites because of the same vegetative cover and surface conditions. The study observed the values of the parameters to have influenced the models’ performance.