Development and Testing of Software for Water Distribution Management in Canal–Hydraulic Structure–Canal Systems

Received: 2026-05-19

Published: 2026-06-06

Abstract

This article presents the results of the development and testing of automated software designed to ensure efficient and accurate distribution of water resources in cascaded canal and hydraulic structure systems. The computational core of the software is based on solving the Saint-Venant differential equations using the Preissmann implicit scheme, while the decision-support expert system was developed through the integration of Python and C# programming languages. The conducted software quality assurance (SQA) tests demonstrated high computational performance and an accuracy level of up to 98.5% for the proposed digital solution.

List of references

  1. Chaudhry M.H. Open-Channel Flow. Springer New York. 2008. 1-560 p. https://doi.org/10.1007/978-0-387-68648-6

  2. Litrico X., Fromion V. Modeling and Control of Open-Channel Flow. Springer Berlin Heidelberg. 2009. 1-314 p. https://doi.org/10.1007/978-3-540-88352-4

  3. Siddique R., Mejia A. An Integrated Software Framework for Hydrological and Hydraulic Modeling. Environmental Modelling & Software. 2019. 45-58 p. https://doi.org/10.1016/j.envsoft.2019.01.012

  4. Gisen J.I., Leo M.W. Quality Assurance and Testing Frameworks for Hydroinformatic Software Systems. Journal of Hydroinformatics. 2021. 210-225 p. https://doi.org/10.2166/hydro.2021.044

  5. Cunge J.A., Holly F.M. Practical Aspects of Computational River Hydraulics. Pitman Publishing. 1980. 1-420 p. https://doi.org/10.1016/C2013-0-06240-8

About the Authors

Seytimbetov Dauletya
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

License

How to Cite

Development and Testing of Software for Water Distribution Management in Canal–Hydraulic Structure–Canal Systems. (2026). MMIT Proceedings, 1037-1040. https://doi.org/10.61587/

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