employee
Kolomna, Russian Federation
employee
employee from 01.01.2025 until now
Lukhovitsy, Moscow, Russian Federation
UDC 631.347.3
The article provides a comparative analysis of the classical methodology for determining the optimal parameters of stationary sprinkler systems (VISKHOM, 1963) and modern approaches to their design. Analytical methods for minimizing total annual costs, including depreciation charges on the pipeline network and pumping station costs, are considered. Modern methods are systematized: hydraulic modeling in EPANET and FAST-GPU, discrete optimization methods, variable irrigation rate (VRI) systems, IoT sensors and digital twins. An improved six-stage VTS design methodology is proposed.
stationary sprinkler irrigation system, parameter optimization, hydraulic calculation, EPANET, IoT-based irrigation, variable rate irrigation, digital twin
1. GOST 8224-1–2004. Mashiny dozhdeval'nye podvizhnye. Chast' 1. Ekspluatacionnye harakteristiki i metody laboratornyh i polevyh ispytaniy. – M.: Standartinform, 2004. – URL: https://docs.cntd.ru/document/1200044530.
2. GOST R 58595–2019. Pochvy. Otbor prob. – M.: Standartinform, 2019. – 16 s.
3. Kireycheva L. V. Sovremennye metody avtomatizacii upravleniya rezhimami orosheniya / L. V. Kireycheva, I. F. Yurchenko // Prirodoobustroystvo. – 2021. – № 4. – S. 44–51.
4. Lebedev B. M. Metodika opredeleniya optimal'nyh parametrov stacionarnyh dozhdeval'nyh sistem / B. M. Lebedev. – M. : VISHOM, 1963. – 29 s.
5. Resursosberegayuschie energoeffektivnye ekologicheski bezopasnye tehnologii i tehnicheskie sredstva orosheniya: spravochnik. – M. : FGBNU «Rosinformagroteh», 2015. – 264 s. – URL: https://rusneb.ru/catalog/000199_000009_008275977.
6. Ryazancev A. I. Mehanizaciya poliva shirokozahvatnymi dozhdeval'nymi mashinami krugovogo deystviya v slozhnyh usloviyah / A. I. Ryazancev. – Ryazan': Ryazan'agroinform, 1991. – 131 s. – URL: https://search.rsl.ru/ru/record/01001598513.
7. SP 100.13330.2016. Melioraciya. Aktualizirovannaya redakciya SNiP 2.06.03-85. – M. : Minstroy Rossii, 2016. – 79 s.
8. SP 31.13330.2021. Vodosnabzhenie. Naruzhnye seti i sooruzheniya. Aktualizirovannaya redakciya SNiP 2.04.02-84*. – M.: Minstroy Rossii, 2021. – 157 s.
9. Shtepa V. N. Cifrovye dvoyniki v upravlenii meliorativnymi sistemami / V. N. Shtepa // Melioraciya i vodnoe hozyaystvo. – 2022. – № 3. – S. 28–34.
10. Alomari Z. M. Performance Assessment of Variable (VRI) Versus Constant Rate Irrigation (CRI): Review / Z. M. Alomari, T. J. Alfatlawi // International Journal of Design & Nature and Ecodynamics. – 2024. – Vol. 19, № 1. – P. 1–10. – DOI:https://doi.org/10.18280/ijdne.190121.
11. Kumar S. V. Development of a smart IoT-based drip irrigation system for precision farming / S. V. Kumar [et al.] // Irrigation and Drainage. – 2022. – Vol. 71, № 5. – P. 1319–1333. – DOI:https://doi.org/10.1002/ird.2757.
12. Li M. Evaluation of variable rate irrigation management in forage crops: Saving water and increasing water productivity / M. Li [et al.] // Agricultural Water Management. – 2023. – Vol. 275. – Art. 108049. – DOI:https://doi.org/10.1016/j.agwat.2022.108049.
13. Marcuzzo F. F. N. The optimization of irrigation networks using genetic algorithms / F. F. N. Marcuzzo, E. C. Wendland // Journal of Water Resource and Protection. – 2014. – Vol. 6, № 12. – P. 1124–1138. – DOI:https://doi.org/10.4236/jwarp.2014.612105.
14. Pereira L. S. Acceleration of pipeline analysis for irrigation networks through parallelisation in Graphic Processing Units / L. S. Pereira [et al.] // Biosystems Engineering. – 2025. – Vol. 253. – P. 1–14. – DOI:https://doi.org/10.1016/j.biosystemseng.2025.01.003.
15. Ramos H. M. Smart Water Grids and Digital Twin for the Management of System Efficiency in Water Distribution Networks / H. M. Ramos [et al.] // Water. – 2023. – Vol. 15, № 6. – Art. 1129. – DOI:https://doi.org/10.3390/w15061129.
16. Rossman L. A. EPANET 2 Users Manual / L. A. Rossman. – Cincinnati : U.S. Environmental Protection Agency, 2000. – 200 p. – (EPA/600/R-00/057).



