International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:10, October, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(10): 2691-2701

Development and Comparison of Infiltration Models and Their Field Validation
Rajasekhar1, D. Umabai2, K. Krupavathi3*, I. Navyasai3 and R. Gopi4
1Indian Agricultural Research Institute, New Delhi, India

2College of Agricultural Engineering, Bapatla, India

3Rural Development Officer, Union Bank of India, Visakhapatnam, India

4Micro Irrigation Engineer, Siflon Drip and Sprinklers, Ongole, India
*Corresponding author

Infiltration is a dynamic process, variable in time and space and plays a vital role in the replenishment of soil water which is responsible for the growth and development of crops. Modelling of infiltration equation involves in finding out coefficients in the expressions for the curves infiltration rate and accumulated infiltration verses time and other parameters. The present study is aimed at determining the best fit infiltration model. Four equations including those of Kostiakov, Green Ampt, Horton’s and Philip’s were compared to determine which one most accurately predicted measured infiltration rates. For getting best fitting model for a particular soil and soil condition the results obtained from various infiltration models were compared with observed double ring infiltrometer data. Cultivation influences the infiltration rate by increasing the porosity of the surface soil and breaking up the surface seals is also considered in the present study. The experiment was done for cultivated and uncultivated bare soil conditions. The parameters considered for analysing the best fit model were coefficient of determination, correlation coefficient and standard error. The results shown that, the infiltration values obtained by Philip’s model and Green-Ampt model are nearer to observed values. From the results it was finally concluded that the Philip’s model with coefficient of determination 0.99 as well as correlation coefficient 0.99 and standard error 0.08 fits best to the observed values followed by Green-Ampt and Kostiakov.

Keywords: Infiltration, Models, Infiltrometer, Validation

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How to cite this article:

Rajasekhar, M., D. Umabai, K. Krupavathi, I. Navyasai and Gopi, R. 2018. Development and Comparison of Infiltration Models and Their Field Validation.Int.J.Curr.Microbiol.App.Sci. 7(10): 2691-2701. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.