Calibration of Existing Infiltration Models on Different Amended Soils
Journal Title: American journal of Engineering Research - Year 2018, Vol 7, Issue 6
Abstract
Organic amendments can affect soil properties. The predictive power of selected water infiltration models in organic amended soils were evaluated. Ten (10) infiltration models consisting of five (5) empirical (Philip (PH), Kostiakov (KT), Modified Kostiakov (MK), Kostiakov-Lewis (KL) and Natural Resource Conservative Service (NRCS)), Three (3) physically based (Green-Ampt (GA), Smith-Parlange (SP), TalsmaParlange (TP)) and two semi-empirical ( Swartzendruber (SW) and Horton (HT)), were evaluated for soils amended with cow dung, poultry litter and Pig dung. Ability of the models to accurately prediction the measured cumulative infiltration. The study was carried out at University of Uyo experimental plot at Uyo, Akwa Ibom. The field was ploughed to a depth of 20cm in order to mix the manure with the soil. Soil samples were taken from each strip, and the tests were repeated two weeks, four weeks and six weeks after manure application. The amendment with Cow dung increased cumulative infiltration by 56.05%, Poultry litter increased cumulative infiltration by 36.43% and Pig dung manure increased cumulative infiltration by 2.6%. The statistical model was used to evaluate the model performance. The coefficient of determination š¹ š between the models simulated cumulative infiltration and field measured cumulative infiltration ranged from 0.931 to 0.998. The value of the modelling efficiency (š¬) index ranged from -0.048 to 0.998 while the Mean Absolute Error (š“šØš¬) ranges from -0.955 to 5.454. The values of the coefficient of residual mass (šŖš¹š“) ranged from -1.320 to 0.572. Seven models (NRCS, Philips, Kostiakov, Kostiakov-Lewis, Modified Kostiakov, Talsma-Parlange and Swartzendruberās model) under-predicted while three models (Green-Ampt, Smith-Parlange and Horton) overpredicted cumulative infiltration. The NRCSās model had the overall best performance, Kostiakov model had best performance amongst the empirically based models, the Talsma-Parlangeās model had the best performance in the physically based models, and Hortonās model had the best performance in the semiempirical group respectively. The NRCSās model were found to be most appropriate for cow dung, Poultry litter, and the Control while, Kostiakov model were found to be most suitable in the Pig dung amended soil.
Authors and Affiliations
1 ehiomogue, P. , ojedele O. S, ikechuchu-Ede, C. E. ;, okosa, I;1 orji,, ahaneku, I. E.
Keywords
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