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Information Journal Paper

Title

Estimating Soil Moisture Pattern under Subsurface Drip Irrigation Using Dimensional Analysis Method

Pages

  626-636

Abstract

 In designing and implementing irrigation systems, it is essential to know how Wetting Pattern form soils and their components. Simulation for each design and management scenario, in addition to highly acceptable results, saves time. The main purpose of this study was to provide equations for determination of soil moisture pattern in subsurface irrigation from point source. For this purpose, by applying Dimensional Analysis, the Schwartzman and zur equation for Subsurface Drip Irrigation from point source was modified. By constructing a physical model and using three types of sand, loam and silty clay loam texture, the equations coefficients were extracted and 9 equations were obtained. For the developed simulation model in three soil type, RMSE values was smaller than 2. 47, 1. 27 and 3. 01 cm for wetted width, upper and lower trickle placement respectively. It was found that performance of model was good with Model efficiency greater than 81% for all cases. Therefore, it can be used to describe wetted depths and widths of soil under SDI system with point source of water application.

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  • Cite

    APA: Copy

    ZANDI, S., Boroumand Nasab, S., & Ainechee, J.. (2020). Estimating Soil Moisture Pattern under Subsurface Drip Irrigation Using Dimensional Analysis Method. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 13(2 ), 626-636. SID. https://sid.ir/paper/378997/en

    Vancouver: Copy

    ZANDI S., Boroumand Nasab S., Ainechee J.. Estimating Soil Moisture Pattern under Subsurface Drip Irrigation Using Dimensional Analysis Method. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2020;13(2 ):626-636. Available from: https://sid.ir/paper/378997/en

    IEEE: Copy

    S. ZANDI, S. Boroumand Nasab, and J. Ainechee, “Estimating Soil Moisture Pattern under Subsurface Drip Irrigation Using Dimensional Analysis Method,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 13, no. 2 , pp. 626–636, 2020, [Online]. Available: https://sid.ir/paper/378997/en

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