Conceptual principles of watering control under irrigation
Keywords:
irrigation, watering control, conceptual principles, decision support systems
Abstract
The conceptual principles of watering control under irrigation using decision support systems are outlined. Based on the analysis and research of foreign and domestic authors, it has been proven that the effectiveness of watering control depends to a large extent on the methodological approaches used to determine the terms and rates of watering in various decision support systems. It is shown that the most complete potential of varieties and hybrids of various types of crops under irrigation can be realized when establishing and implementing irrigation regimes ensuring the moisture supply of the soil root layer in a narrow range of high humidity (close to field water-holding capacity (FWHC) during the entire growing season.
It was grounded that the implementation of such irrigation regimes is possible only by applying decision support systems using GIS technologies, which combine hydrogeological models for calculation and forecasting of watering terms and rates, based on the use of soil moisture potential as a criterion of moisture supply availability for plants and Earth remote sensing data (ERSD). Such a combination makes it possible to analyze and apply measurement and forecasting data to the areas not covered by ground observations and provides highly efficient ecologically safe irrigation providing high irrigation water productivity and ecological safety of irrigation.
The implementation of these principles in the practice of irrigation management ensures the yield of irrigated crops as of 0.85-0.90 of the potential of modern varieties and hybrids, while simultaneously reducing the consumption of irrigation water per unit of yield, as well as minimizing or eliminating losses of irrigation water due to infiltration, development of flooding processes, salinization, and secondary salinization of soils.
References
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3. Stratehiia zroshennia ta drenazhu v Ukraini na period do 2030 roku. Skhvaleno rozporiadzhenniam Kabinetu Ministriv Ukrainy vid 14.08.2019 r. № 688-r [Irrigation and drainage strategy in Ukraine until 2030. Approved by the order of the Cabinet of Ministers of Ukraine dated August 14, 2019 № 688-r], available at: https://zakon.rada.gov.ua/laws/show/688-2019-%D1%80 [in Ukrainian].
4. Plan zakhodiv z realizatsii Stratehii zroshennia ta drenazhu v Ukraini na period do 2030 roku. Skhvaleno rozporiadzhenniam Kabinetu Ministriv Ukrainy vid 21.10.2020 r. № 1567-r [Action plan for the implementation of the Irrigation and Drainage Strategy in Ukraine until 2030. Approved by the order of the Cabinet of Ministers of Ukraine dated 21.10.2020 № 1567-r], available at: https://www.kmu.gov.ua/npas/pro-zatverdzhennya-planu-zahodiv-z-realizaciyi-strategiyi-zroshennya-ta-drenazhu-s211020 [in Ukrainian].
5. Romashchenko, M.I., Husiev, Yu.V., Shatkovskyi, A.P., Saidak, R.V., Yatsiuk, M.V., Shevchenko, A.M., & Matiash, T.V. (2020). Vplyv suchasnykh klimatychnykh zmin na vodni resursy ta silskohospodarske vyrobnytstvo [Impact of modern climate change on water resources and agricultural production]. Melioratsiia i vodne hospodarstvo, 1, 5-22. [in Ukrainian].
6. Rinaldi, M., & He, Z. (2014). Decision Support Systems to Manage Irrigation in Agriculture. Advances in Agronomy, 123, 229-279.
7. Mainaa, M.M., Amina, M.S.M., & Yazidb, M.A. (2014). Web geographic information system decision support system for irrigation water management: a review. Acta Agriculturae Scandinavica, Section B - Soil & Plant Science, 64(4), 283-293.
8. Romashchenko, M., Matіash, T., Bohaienko, V., Kovalchuk, V., Voitovich, O., Krucheniuk, A., Knysh, V., & Shlikhta, V. (2019). Development experience and ways of improvement of irrigation management systems. Melioratsiia i vodne hospodarstvo, 2, 17-30.
9. de Wit, C.T. (1958). Transpiration and crop yields. Versl. Landbouwk. Onderz. 64.6 Institute of Biological Chemistry Researchon FieldCrops and Herbage, Wageningen, The Netherlands.
10. Ma, L., Ahuja, L.R., Nolan, B.T., Malone, R.W., Trout, T.J., & Qi, Z. (2012). Root Zone Water Quality Model (RZWQM2): Model Use, Calibration, and Validation. Transactions of the ASABE, 55(4), 1425-1446.
11. Muñoz‐Carpena, R., & Dukes, M. (2005). Automatic Irrigation Based on Soil Moisture for Vegetable Crops. University of Florida: Gainesville, FL, USA.
12. Sharma, N., Hakkim, A., & Singh, A.K. (2021). Development and field evaluation of a low-cost automated drip irrigation system. Journal of Soil and Water Conservation, 20(2), 188-194.
13. Campbell, G. S., Campbell, M. D., & Hillel, D. (1982). Irrigation scheduling using soil moisture measurements: theory and practice. Advances in irrigation, 1, 25-42.
14. Jones, H.J. (2004). Irrigation scheduling: advantages and pitfalls of plant-based methods. Journal of Experimental Botany, 55(407), 2427-2436.
15. Romashchenko, M.I., Pysarenko, A.V., Pysarenko, P.V., Baliuk, S.A., Shatkovskyi A.P. etal. (2009). Rezhymy i sposoby zroshennia [Modes and methods of irrigation]. Kyiv : Ahrarna nauka, 313-350.
16. Bohaienko, V., Matiash, T., & Krucheniuk, A. (2021). Decision Support System in Sprinkler Irrigation Based on a Fractional Moisture Transport Model. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education IV. ICCSEEA 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 83. Springer, Cham.
17. Zhovtonog, O., Hoffmann, M., Polishchuk, V., & Dubel, A. (2011). New planning technique to master the future of water on local and regional level in Ukraine. Journal of Water and Climate Change, 2(2-3), 189-200.
18. Gadzalo, Ya., Romashchenko, M., Kovalchuk, V., Matiash, T., & Voitovich O. (2019). Using smart technologies in irrigation management. In International Commission on Irrigation and Drainage, 3nd World Irrigation Forum (WIF3) (pp. 1-6). Id: W.1.3.02.
19. Romashchenko, M.Y., Mystetskyi, H.E., & Kliushyn, D.A. (1991). Matematycheskaia model vnutrypochvennoho vlaho-, sole- y teploperenosa pry mykrooroshenyy [Mathematical model of intrasoil moisture, salt and heat transfer during microirrigation]. Melyoratsyia y vodnoe khoziaistvo, 7, 51-53.
20. Romashchenko, M.I., Bohaienko, V.O., Matiash, T.V., Kovalchuk, V.P., & Danylenko, Iu.Iu. (2020). Influence of evapotranspiration assessment on the accuracy of moisture transport modeling under the conditions of sprinkling irrigation in the south of Ukraine. Archives of Agronomy and Soil Science, 66(10), 1424-1435.
21. Monteith, J.L. (1965). Evaporation and environment. In: The State and Movement of Water in Living Organisms, 19th Symposium of the Society for Experimental Biology. Fogg GE. (ed). 8-12 September 1964, Swansea. The Company of Biologists: Cambridge, 205-234.
22. Shtoiko, D.A., Pysarenko, V.A., Bychko, O.S., & Yelazhenko, L.I. (1977). Rozrakhunkovi metody vyznachennia sumarnoho vyparovuvannia i strokiv polyvu s.-h. kultur [Estimated methods for determining the total evaporation and watering dates of agricultural cultures]. Zroshuvalne zemlerobstvo, 3-8. [in Ukrainian].
23. Yvanov, N. N. (1954). Ob opredelenyy velychyn yspariaemosty [On the determination of volatility values]. Moskva. [in Russian].
24. Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A., & Holtslag, A.A.M., (1998). A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation. J. Hydrol., 212-213, 198-212.
25. Wang, F.X., Wu, X.X., Shock, C.C., Chu, L.Y., Gu, X.X., & Xue, X. (2011). Effects of drip irrigation regimes on potato tuber yield and quality under plastic mulch in arid Northwestern China. Field Crops Research, 122(1), 78-84.
26. Muromtsev, N.N., Romashchenko, M.Y., & Panasenko, Y.Y. (1982). Opredelenye parametrov vlahoperenosa v polevykh uslovyiakh [Determination of moisture transfer parameters in the field]. Melyoratsyia y vodnoe khoziaistvo, 56, 11-14. [in Ukrainian].
27. Romashchenko, M.I., Kolomiiets, S.S., & Bilobrova, A.S. (2019). Systema laboratornoho diahnostuvannia vodno-fizychnykh vlastyvostei gruntiv [System of laboratory diagnostics of water-physical properties of soils]. Melioratsiia i vodne hospodarstvo, 2, 199-208. [in Ukrainian].
28. Shatkovskyi, A.P., Cherevychnyi, Yu.O., & Chabanov, A.S. (2011). Zakonomirnosti formuvannia rezhymu kraplynnoho zroshennia prosapnykh kultur [Regularities of formation of the regime of drip irrigation of row crops]. Melioratsiia i vodne hospodarstvo, 99, 25-32. [in Ukrainian].
29. Romashchenko, M., Shatkovskiy, A., Zhuravlev, A., & Cherevichny, Yu. (2015). Osoblyvosti rezhymiv kraplynnoho zroshennia prosapnykh kultur [Features of regimens of drip irrigation of cultivated crops]. Visnyk agrarnoi nauky, 93(2), 51-56. [in Ukrainian].
30. Shahnazari, A., Liu, F., Andersen, M.N., Jacobsen, S.E., & Jensen, C.R. (2007). Effects of partial root-zone drying on yield, tuber size and water use efficiency in potato under field conditions. Field Crops Research, 100(1), 117-124.
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Published
2022-07-06
How to Cite
Romashchenko, M., Bogaenko, V., Shatkovskyi, A., Matyash, T., Kolomiets, S., Shevchuk, S., Danylenko, Y., & Sardak, A. (2022). Conceptual principles of watering control under irrigation. Land Reclamation and Water Management, (1), 5 - 17. https://doi.org/10.31073/mivg202201-328
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Articles
