Shaheemath Suhara K K Ravikumar V Balaji Kannan Duraisamy M R Patil Santosh Ganapati


Drip simulation software is essential for accurately optimizing and maximizing the efficiency of drip irrigation systems, enabling precise water management and resource conservation. The present study developed a powerful web-based application to assist irrigation system designers in evaluating the effectiveness of the submain design on uniform or non-uniform slope conditions. The software facilitates the simulation and optimisation of submain design by incorporating modern drip design approaches and state-of-the-art software development methodologies. With its intuitive user interface, the software allows users to effortlessly enter important design parameters, including slope specifications, lateral discharge rates, submain length, lateral spacing and submain inlet pressure head. The software calculates to determine the pressure head values at each outlet and the relative variation in pressure head (vh), allowing for comprehensive design evaluation. Extensive testing using various typical sample data ensured the high accuracy and reliability of the developed web application. It empowers users to explore multiple design alternatives and determine the most suitable option. Rigorous testing, employing various typical sample data, has further enhanced the accuracy and reliability of the developed application. Live demonstrations were conducted to evaluate its user-friendliness, yielding overwhelmingly positive feedback from designers. The software can be accessed conveniently via the website https://www.dripdesigncheck.in/telescopic/submain, ensuring easy availability to users.




Darcy-Weisbach equation, Drip irrigation, Python, Simulation, Submain

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Development of a web-based simulation application for efficient drip irrigation submain design. (2023). Journal of Applied and Natural Science, 15(3), 1195-1203. https://doi.org/10.31018/jans.v15i3.4799
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Development of a web-based simulation application for efficient drip irrigation submain design. (2023). Journal of Applied and Natural Science, 15(3), 1195-1203. https://doi.org/10.31018/jans.v15i3.4799