2023, Vol. 8, Special Issue 6
Evaluation and model predictability of infiltration rate models in the sodic soils of Kasbe Digraj of Sangli District
Author(s): Dhenge AR, Kamble BM, Shinde KM, Bandgar VK, Kothule KS and Arya Satheesan
Abstract: Knowledge of water infiltration into a soil is essential for efficient soil and water management and conservation, especially when the water supply is through rainfall. For efficient irrigation water management, once field infiltration values are constant and the curve established for a particular soil, it is possible to determine how long it will take to infiltrate a certain amount of water during irrigation. The aim was to determine the infiltration capacity of the soil with slope positions and to fit the infiltration data into the Philip, Kostiakov and Horton infiltration models to quantify the hydrological behavior of the soil and the ability of these models to predict infiltration into the Sodic soils of Kasbe Digraj of Sangli District. It can be deduced that Kostiakov’s model was more suitable than Philip’s and Horton’s model for predicting water infiltration in Sodic soils of Kasbe Digraj of Sangli District.
Pages: 1054-1059 | Views: 63 | Downloads: 3Download Full Article: Click HereHow to cite this article:
Dhenge AR, Kamble BM, Shinde KM, Bandgar VK, Kothule KS, Arya Satheesan. Evaluation and model predictability of infiltration rate models in the sodic soils of Kasbe Digraj of Sangli District. Int J Stat Appl Math 2023;8(6S):1054-1059.
