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Adjustment of Infiltration Curve Through Non-Linear Regressions

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2007 ASAE Annual Meeting  072191.(doi:10.13031/2013.22978)
Authors:   Francisco Jardel Rodrigues da Paixão, Antonio Ricardo Santos de Andrade, Carlos Alberto Vieira de Azevedo, Narcelio M. B Góes, Hugo Orlando Carvallo Guerra, Vera Lucia Antunes de Lima, Euler Soares Franco
Keywords:   soil water movement, infiltrometer, non-linear regression

The objective of this study was to estimate the water infiltration in the soil through fittings of non-linear functions and empiric models proposed by Horton, Kostiakov and Kostiakov-Lewis and to compare the results with field data obtained using the ring infiltrometer. The experiment was conducted in sandy soil of the experimental area of the State Enterprise of Agricultural Research, located in Lagoa Seca city, Paraíba State, Brazil. It was performed 65 ring infiltrometer infiltration tests along the experimental area. The models of Horton, Kostiakov and Kostiakov-Lewis, as well as the non-linear regressions functions (exponential and potential), were adjusted to data obtained in field. The procedure using non-linear regressions showed better estimates than the empiric models, having the potential and exponential functions presented values for R2 equal to 0.997 and 0.971, respectively. Among the empiric models, the model proposed by Horton was the one that presented the best performance. However, the predictions of empiric models and of non-linear regressions were practically similar. The procedure of non-linear regressions presents methodological advantages, as well as a substantial reduction of time and cost to determine the soil water infiltration rate.

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