Effect of Zeolite on the Hydraulic Parameters of Soil and Simulation of Water Flow Using HYDRUS-2D | ||
| Journal of Agricultural Science and Technology | ||
| Article 15, Volume 27, Issue 4, 2025, Pages 935-952 PDF (8.14 M) | ||
| Document Type: Original Research | ||
| DOI: 10.22034/JAST.27.4.935 | ||
| Authors | ||
| Masoumeh Shadan1; Javad Behmanesh* 1; Sina Besharat1; Nasrin Azad2 | ||
| 1Department of Water Engineering, Faculty of Agriculture, Urmia University, Urmia, Islamic Republic of Iran. | ||
| 2Department of Water Engineering, Faculty of Water and Soil Engineering, Gorgan University of Agriculture Sciences and Natural Resources, Gorgan, Iran. | ||
| Abstract | ||
| Zeolites are recommended to utilize in agricultural sector due to their water holding and cation exchange capacity. Effect of zeolite on the hydraulic parameters of sandy loam soil was investigated and HYDRUS-2D was used to simulate the movement of water in the soil. Data needed were collected by conducting laboratory experiments. The studied treatments included four levels (Zzero, Z5, Z10, and Z15 g kg-1 of soil) to determine the effect of zeolite on hydraulic parameters including saturation moisture (θs), residual moisture (θr), shape parameter (n), point check air permeability (α), and saturated hydraulic conductivity (Ks) of the soil. Four rounds of irrigation were done based on readily soil moisture and the soil moisture values before and after irrigation were measured using the Wet Sensor in the depth and radial directions and recorded for 45 days. The initial value of hydraulic parameters including θs, θr, α, n, and Ks were determined using Rosetta. Results showed that with the increase in the amount of zeolite, the parameters θs, θr, and n increased and the value of α decreased, which indicated a decrease in the rate of water discharge from the soil. However, the values of Ks tended to decrease. In fact, mixing zeolite causes soil to hold more water because of micro-pore structure of zeolites. The Efficiency Coefficient (EF) of HYDRUS-2D model, which shows the quality and how to fit the observed and estimated data, varied between 0.82 and 0.97, showing the high efficiency of the model in simulating humidity. | ||
| Keywords | ||
| Advance curve; Soil texture; Water holding capacity | ||
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