Comparison and Estimation of Four Infiltration Models
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Date
2020-02-21
Journal Title
Journal ISSN
Volume Title
Publisher
Open Journal of Soil Science
Abstract
Infiltration is an important component of the hydrological cycle. It provides
soil moisture in the vadose zone to support plant growth. This study was
conducted to compare the validity of four infiltration models with measured
values from the double ring infiltrometer. The parameters of the four models
compared were estimated using the linear regression analysis. The C.C was
used to show the performance of the predictability of the models. The RMSE,
MAE and MBE were employed to check the anomalies between the predicted
and the observed values. The results showed that, average values of the C.C
ranged from 0.9294 - 0.9852. The average values of the RMSE were 4.0033,
17.489, 11.2400 and 49.8448; MAE were 3.1341, 15.9802, 10.6525, and
61.4736; and MBE were 0.0786, 9.5755, −0.0007 and 47.0204 for Philip, Horton, Green Ampt and Kostiakov respectively for the wetland soils. Statistical
results also from the Fisher’s multiple comparison test show that the mean
infiltration rate estimated from the Green Ampt’s, Philip’s and Horton’s
model was not significantly different (p > 0.05) from the observed. The re sults indicated that the Kostiakov’s model had the highest deviations as it
overestimated the measured data in all the plots. Comparison of the statistical
parameters C.C, RMSE, MAE, and MBE for the four models indicates that the
Philip’s model agreed well with the measured data and therefore, performed
better than the Green Ampt’s, Horton’s and Kostiakov’s models respectively
in that order for Besease wetland soils. Estimation of infiltration rate by the
Philip’s model is important in the design of irrigation schemes and scheduling. Therefore, in the absence of measured infiltration data, the Philip’s model could be used to produce infiltration information for inland valley bottom soils that exhibit similar characteristic as Besease wetland soils
Description
Keywords
ACE: Energy and Environmental Sustainability, Wetland, Infiltration Models, Irrigation, Philip’s Model, Ring Infiltrometer, University of Energy & Natural Resources, Ghana, Power, Ankamah Johnson De-Graft