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Information Journal Paper

Title

Simulation of water infiltration in the soil using HYDRUS1D software and field data

Pages

  113-128

Abstract

 Background and Objectives: In the present study, HYDRUS1D software was used to estimate the hydraulic parameters of the Van Genuchten-Moalem model and Simulation of water Infiltration in soil of four stations of Gonbad University, Artificial Lake, Kalaleh and Negin Shahr with loam soil texture by reverse method. Materials and Methods: For this purpose, three groups with a different selected number of hydraulic parameters were defined for the optimization process. In the first group, only the cumulative penetration data measured as software input was used. In the second group, the soil moisture content measured at 0. 3 atmospheres (FC) and in the third group, the amount of moisture in the 15 atmospheric suction (PWP) was used as supplementary data for the inverse solution along with the data cumulative Infiltration. After optimization of hydraulic parameters of soil, the water Infiltration changes along with time were simulated using HYDRUS1D software. Results: In Kalaleh station, optimized parameters ø s, ø r and α value were obtained 0. 34, 0. 027 and 0. 014, respectively. In Neginshar, optimized parameters α , n and ks parameters were obtained 0. 0075, 1. 52 and 0. 012 cm/min, respectively. In Artificial Lake optimized parameters α , n and ks parameters were 0. 011, 1. 39 and 0. 016 cm/min, respectively. In Gonbad University station optimized parameters value were ks and α value 0. 011cm/min and 0. 005, respectively. After optimizing the hydraulic parameters of the soil, using HYDRUS software, water Infiltration along with time was simulated. The result showed that HYDRUS software predicted the data to be slightly higher than the actual amount. The results showed that at all stations, the R2 value is high, indicating a high correlation between Field data and HYDRUS software. In the Kalaleh station, there was a greater correlation between field Infiltration data and HYDRUS software with high R2 coefficient (0. 997) and the predicted data by the software was approximately identical with Field data. At Negin shahr station, the difference between Field data and HYDRUS software simulated data was higher. Conclusion: According to the results HYDRUS software simulated cumulative Infiltration well and with over time, the Infiltration rate was slightly higher than Field data. At all stations, the R2 value is high, indicating a high correlation between Field data and HYDRUS software.

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    APA: Copy

    FARASATI, M., & SHAKERI, H.. (2018). Simulation of water infiltration in the soil using HYDRUS1D software and field data. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 25(3 ), 113-128. SID. https://sid.ir/paper/156113/en

    Vancouver: Copy

    FARASATI M., SHAKERI H.. Simulation of water infiltration in the soil using HYDRUS1D software and field data. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2018;25(3 ):113-128. Available from: https://sid.ir/paper/156113/en

    IEEE: Copy

    M. FARASATI, and H. SHAKERI, “Simulation of water infiltration in the soil using HYDRUS1D software and field data,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 25, no. 3 , pp. 113–128, 2018, [Online]. Available: https://sid.ir/paper/156113/en

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