S460 : Numerical and experimental study of the wetting patterns estimation under drip irrigation
Thesis > Central Library of Shahrood University > Agricultural Engineering > MSc > 2019
Authors:
Zahra Eskandari Tadavani [Author], Khalil Azhdary[Supervisor], Mahdi Delghandi[Supervisor], Seyyed Hossein Hosseini[Advisor], Vajiheh Dorostkar[Advisor]
Abstarct: Drip irrigation is one way of optimal use of water resources. Of course, the mere use of drip irrigation cannot be useful for this purpose, but to achieve this goal, drip irrigation system should be designed, implemented and maintained in addition to utilizing the proper equipment. The proper design of this system requires having adequate and appropriate information from the region, Including the soil wetting pattern (radius and depth) by drip irrigation. Resulting in determining the number, distance, discharge and location of the emitter dependent to the dimension of the wetting pattern. For this purpose, Laboratory, numerical and empirical studies on a clay loamy soil were performed using, three emitter discharges (2, 4 and 8 liters per hour), five different slopes (0, 5, 10, 20 and 30%) and three different depths of installation of the emitter (0, 15 and 30 cm from the soil surface). It is also noted that a physical model Hydrus-2D and multivariate linear regression were used for laboratory, numerical and empirical models, respectively. The results showed that as the discharge of the emitter increases, the dimentions of the wetting pattern increases. Increasing the land slope causes the horizontal expansion of the wetting surface and its diversion along the emitter axis. Also, under a constant discharge, increase in gradient increases the dimentions of the wetting pattern. The establishment of the emitter under the soil surface results in a more vertical extension of the wetting pattern than its horizontal extension. Then, wetting pattern by Hydrus-2D was simulated and the empirical models were obtained under the mentioned conditions. The estimated statistical parameters were very satisfactory to evaluate the performance of the numerical and empirical model. So that the maximum relative error (Er) of numerical and empirical model in surface drip irrigation was determined 7 and 6%, respectively these values in subsurface drip irrigation were 6% and 7%, respectively. the maximum Er of the empirical model in sloped land was estimated about 7%.
Keywords:
#drip irrigation #wetting pattern #clay loam soil #Hydrus-2D #empirical model. Link
Keeping place: Central Library of Shahrood University
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