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VOL. 8, ISSUE 3 (2026)
Comparative evaluation of empirical infiltration models for predicting soil water infiltration under a rice–mustard cropping system
Authors
Bhoomika Gupta, Praduman Tyagi, Anurag Mishra, Krishnanand Yadav, Dr. Deo Kumar
Abstract
Soil water infiltration controls the entry of water into soil and is
closely related to irrigation efficiency and soil-water management. This study
compared the performance of the Kostiakov and Philip infiltration models for
predicting cumulative infiltration under a rice–mustard cropping system at the
research farm of Sardar Vallabhbhai Patel University of Agriculture and
Technology (SVPUAT), Meerut, Uttar Pradesh, India. Field infiltration was
measured with a double-ring infiltrometer after mustard harvest and before rice
sowing. Cumulative infiltration and mean infiltration rate (cumulative
infiltration divided by elapsed time) were recorded at nine observation times
from 5 to 350 min. Cumulative infiltration increased from 8.00 mm at 5 min to
17.00 mm at 230 min and remained at 17.00 mm at 350 min, whereas the mean
infiltration rate declined from 1.60 to 0.049 mm min⁻¹. The cumulative
infiltration data were fitted to the Kostiakov model and a three-parameter
Philip-type equation and evaluated using R², RMSE, MAE, and residual standard
deviation. The Kostiakov model yielded R² = 0.9802, RMSE = 0.4885 mm, and MAE =
0.4441 mm. The Philip-type equation gave R² = 0.9972, RMSE = 0.1828 mm, and MAE
= 0.1417 mm, with a lower residual standard deviation (0.1939 mm) than the
Kostiakov model (0.5180 mm). Within the conditions and observation period of
this field experiment, the Philip-type equation provided the closer statistical
representation of the measured cumulative infiltration.
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Pages:465-469
How to cite this article:
Bhoomika Gupta, Praduman Tyagi, Anurag Mishra, Krishnanand Yadav, Dr. Deo Kumar "Comparative evaluation of empirical infiltration models for predicting soil water infiltration under a rice–mustard cropping system". International Journal of Agriculture and Plant Science, Vol 8, Issue 3, 2026, Pages 465-469
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