Volume 21, Issue 3 (Fall 2017)                   jwss 2017, 21(3): 231-241 | Back to browse issues page


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Golabi M, Albaji M, Naseri A. Assessment of Hydrus-1D Model to Predict Electrical Conductivity and the Ions of Soil Profile (Case Study: Sugarcane under Salinity Stress). jwss 2017; 21 (3) :231-241
URL: http://jstnar.iut.ac.ir/article-1-3105-en.html
1. Dept. of Irrigation and Drainage, Faculty of Water Sci. Eng., Shahid Chamran Univ. of Ahvaz, Ahvaz, Iran. , mona_golabi@yahoo.com
Abstract:   (6109 Views)

In the present study Hydrus-1D software was used to simulate electrical conductivity, pH and sodium, potassium, calcium, magnesium, chloride and sulfate ions. Field experiments were performed at the Sugarcane Research Center located in south of Ahvaz on sugarcane varieties CP48-103 with four water treatments (one treatment was Karun river water and three treatments were diluted drainage water) and three replications. The samples were collected from 0-30, 30-60 and 60-90 cm soil depth before irrigation and electrical conductivity and anions and cations of soil were measured in the laboratory. Sensitivity analysis and calibration were first performed with the aim of verifying the Hydrus-1D software. The sensitivity analysis indicated that the software had maximum sensitivity to the saturated volumetric water content. Minimum sensitivity was for the inverse of the air-entry suction, tortuosity parameter, residual volumetric water contents and moderate sensitivity was for hydraulic conductivity at natural saturation. Also, the software did not show any sensitivity to empirical parameter related to the pore size distribution that is reflected in the slope of water retention curve. In calibration stage the amount of hydraulic conductivity at natural saturation, residual volumetric water contents, saturation volumetric water contents, the inverse of the air-entry suction, empirical parameter related to the pore size distribution and tortuosity were obtained as 18 (cm/day), 0.04 (cm3/cm3), 0.63(cm3/cm3), 0.012 (cm-1), 1.2 and 0.6 respectively. The results showed that the coefficient of determination of all parameters was more than 0.85 which confirms the appropriate capabilities of the model in simulation of electrical conductivity, pH, anions and cations. In the modeling carried out the amount of NRMSE was between 11 and 18 percent which indicates good performance of the model. The Nash-Sutcliffe efficiency criterion was obtained 0.72 to 0.8 that indicates a good match of the model with reality. The coefficient of residual mass in this paper was positive for electrical conductivity, pH and sodium, potassium, calcium, magnesium and negative for chloride and sulfate. The positive and negative coefficient of the residual mass shows less and over estimation of the model.
 

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Type of Study: Research | Subject: Ggeneral
Received: 2015/10/5 | Accepted: 2017/06/11 | Published: 2017/11/12

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