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

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Document pages: 13 pages

Abstract: The quantification of soilinfiltration is necessary for the estimation of water accessibility in soilsfor plant growth and development. Field infiltration tests runs were conducted onagricultural soils in three irrigation sites of Northern Ghana. The field datawere fitted into Green and Ampt, Kostiakov, Philip, Holtan, Soil ConservationService and Horton infiltration models for the determination of the unknown modelparameters. Regression analysis at 95 confidence level using GraphPad Prism 8.Laboratory and field data on infiltration were used for the model fitting andthe unknown parameters were determined using the calibrated models. The k and n parameters of Kostiakov model atBontanga 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 rangedfrom 0.7612 to 0.9876 indicating strong relationships. Only Holtan model gavedifferent values at all the three study sites. The parameter GIa and ic of the Holtan model drawnfrom hydrologic soil group were the same at all the study sites because of thesame vegetative cover and surface conditions. The study observed the values ofthe parameters to have influenced the models’ performance.

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