Founder and publisher – Russian Scientific Research Institute of Land Improvement Problems
Land Reclamation and Hydraulic Engineering Melioraciâ i gidrotehnika
ISSN 2712-9357
RUS / ENG

TRENDS IN THE DYNAMICS OF QUANTITATIVE DISTRIBUTION OF RECLAMATION HYDRAULIC STRUCTURES OF FEDERAL OWNERSHIP

Annotation

Purpose: to determine trends in the dynamics of quantitative distribution of hydraulic structures (HS) classified as state property using regression analysis (RA) in accordance with a number of indicators contained in the HS data for maintaining the state water register and state monitoring of water bodies. 

Materials and methods. The RA was conducted using information on federal HS. The data for analysis were selected using a special program for database analysis and management. The indicators to be considered included information on the technical condition of HS inspected by supervisory authorities, the need to carry out certain activities based on monitoring data from operating organizations, and wear and tear information. 

Results and discussion. The study allowed to establish a number of relationships describing the dynamics of the above indicators. Thus, the obtained equations and RA results show that if the trends of recent years are maintained, the annual increase in the number of hydraulic structures with a marginal (emergency) technical condition will be 1.5 %, while the number of hydraulic structures with a standard technical condition will decrease by about 2 %. Analysis of the dynamics of quantitative indicators of the technical condition of hydraulic structures based on the monitoring data of operating organizations indicates a growing need for measures to bring hydraulic structures to a standard condition, including major and current repairs of hydraulic structures. The number of hydraulic structures requiring decommissioning is increasing, and the number of hydraulic structures under construction is small. Analysis by wear classes indicates an increasing number of hydraulic structures with marginal wear, estimated at about 200 hydraulic structures per year. 

Conclusions. If the trends of 2020–2023 are maintained, the regression coefficients can be considered as forecast values indicating a deterioration in the situation in the country's land reclamation complex. 

doi: 10.31774/2712-9357-2025-15-1-246-260

Keywords

reclamation complex, hydraulic structures, regression analysis, technical condition, dynamics

For quoting

Voyevodina L. A. Trends in the dynamics of quantitative distribution of reclamation hydraulic structures of federal ownership. Land Reclamation and Hydraulic Engineering. 2025;15(1):246–260. (In Russ.). https://doi.org/ 10.31774/2712-9357-2025-15-1-246-260.

Authors

L. A. Voyevodina – Senior Researcher, Candidate of Agricultural Sciences, Russian Scientific Research Institute of Land Improvement Problems, Novocherkassk, Russian Federation, rosniipm-lian@yandex.ru, ORCID: 0000-0002-5681-3807.

Bibliography

1. Deineko L.S., Deineko A.V., Antyasova E.A., 2023. Otsenka sostoyaniya gidrotekhnicheskikh sooruzheniy IV klassa posle mnogoletney ekspluatatsii i analiz vozmozhnykh posledstviy v rezul'tate avarii [Assessment of the condition of class IV hydraulic structures after many years of operation and analysis of possible consequences as a result of an accident]. Izvestiya VNIIG im. B. E. Vedeneeva [Proceed. of the VNIIG], vol. 310, pp. 33-46, EDN: YNSWZZ. (In Russian).

2. Senchukov G.A., Osipenko D.A., 2023. Obshchaya kharakteristika i sostoyanie gidrotekhnicheskikh sooruzheniy YUFO [General characteristics and condition of hydraulic structures in the Southern Federal District]. Ekologicheskiy Vestnik Severnogo Kavkaza [Ecological Bullet. of the North Caucasus], vol. 19, no. 3, pp. 104-108, EDN: PLUNBV. (In Russian).

3. Dubenok N.N., Olgarenko G.V., 2021. Perspektivy vosstanovleniya meliorativnogo kompleksa Rossiyskoy Federatsii [Recovery prospects for the Russian Federation reclamation complex]. Vestnik rossiyskoy sel'skokhozyaystvennoy nauki [Bullet. of Russian Agricultural Science], no. 2, pp. 56-59, EDN: NUEFIY. (In Russian). 

4. Senchukov G.A., Voevodina L.A., Kolganov A.V., 2024. Federal'nye vodokhozyaystvennye sistemy v razreze basseynovykh okrugov Rossiyskoy Federatsii [Federal water management systems by basin districts of the Russian Federation]. Ekologicheskiy Vestnik Severnogo Kavkaza [Ecological Bullet. of the North Caucasus], vol. 20, no. 1, pp. 162-166, EDN: WIIQPD. (In Russian).

5. Gritsan V.V., 2021. Tekhnicheskoe sostoyanie obsledovannykh gidrouzlov Moskovskoy oblasti i klassifikatsionnye priznaki ikh vodoemov [The technical condition of the surveyed hydraulic units in Moscow region and the classification features of their reservoirs]. Prirodoobustroystvo [Environmental Engineering], no. 3, pp. 69-79, EDN: AIMYGW. (In Russian).

6. Olgarenko D.G., 2015. [Technical level and operational efficiency of the reclamation systems]. Nauchnyy zhurnal Rossiyskogo NII problem melioratsii, no. 4(20), pp. 287-295, available: https://rosniipm-sm.ru/article?n=839 [accessed 10.01.2025], EDN: UXLZTL. (In Russian). 

7. Balakai G.T., Kupriyanova S.V., 2020. Tekhnicheskoe sostoyanie meliorativnykh sistem Rossii i predlozheniya po ikh vosstanovleniyu [Technical condition of melioration systems of Russia and proposals for their restoration]. Puti povysheniya effektivnosti oroshaemogo zemledeliya [Ways of Increasing the Efficiency of Irrigated Agriculture], no. 1(77), pp. 5-9, EDN: HILDWS. (In Russian). 

8. Abramenko I.P., Senchukov G.A., 2023. Sovremennoe sostoyanie meliorativnogo kompleksa Severo-Kavkazskogo federal'nogo okruga [Current state of the melioration complex of the North Caucasus Federal District]. Puti povysheniya effektivnosti oroshaemogo zemledeliya [Ways of Increasing the Efficiency of Irrigated Agriculture], no. 3(91), pp. 186-197, EDN: OVBJDK (In Russian).

9. Abramenko I.P., Senchukov G.A., 2023. Analiz dannykh monitoringa gidrotekhnicheskikh sooruzheniy Rossiyskoy Federatsii [Analysis of monitoring data of hydraulic structures of the Russian Federation]. Puti povysheniya effektivnosti oroshaemogo zemledeliya [Ways of Increasing the Efficiency of Irrigated Agriculture], no. 3(91), pp. 47-56, EDN: ENNGWM. (In Russian).

10. Senchukov G.A., Abramenko I.P., Klishin I.V., 2023. Baza dannykh otnesennykh k gosudarstvennoy sobstvennosti gidrotekhnicheskikh sooruzheniy dlya aktualizatsii svedeniy v Avtomatizirovannoy informatsionnoy sisteme gosudarstvennogo monitoringa vodnykh ob"ektov Rossiyskoy Federatsii i Avtomatizirovannoy informatsionnoy sisteme «Gosudarstvennyy vodnyy reestr» [Database of Hydraulic Structures Classified as State Property for Updating Information in the Automated Information System for State Monitoring of Water Bodies of the Russian Federation and the Automated Information System “State Water Register”]. Certificate of State Registration of the Database, no. 2023623009. EDN: FXJAYA. (In Russian).

11. Senchukov G.A., Abramenko I.P., Klishin I.V., V.A., Borodin V.S., 2024. Baza dannykh otnesennykh k gosudarstvennoy sobstvennosti gidrotekhnicheskikh sooruzheniy dlya aktualizatsii svedeniy v Avtomatizirovannoy informatsionnoy sisteme gosudarstvennogo monitoringa vodnykh ob"ektov Rossiyskoy Federatsii i Avtomat-zirovannoy informatsionnoy sisteme «Gosudarstvennyy vodnyy reestr» [Database of Hydraulic Structures Classified as State Property for Updating Information in the Automated Information System for State Monitoring of Water Bodies of the Russian Federation and the Automated Information System “State Water Register”]. Certificate of State Registration of the database, no. 2024625112, EDN: PMWZMK. (In Russian).

12. Senchukov G.A., Abramenko I.P., Klishin I.V., 2023. Analiz i upravlenie bazamidannykh gosudarstvennykh meliorativnykh sistem i otnesennykh k gosudarstvennoy sobstvennosti gidrotekhnicheskikh sooruzheniy, podlezhashchikh vneseniyu v Avtomatizirovannuyu informatsionnuyu sistemu gosudarstvennogo monitoringa vodnykh ob"ektov Rossiyskoy Federatsii i Avtomatizirovannuyu informatsionnuyu sistemu «Gosudarstvennyy vodnyy reestr» [Analysis and Management of Databases of State Reclamation Systems and Hydraulic Structures Classified as State Property, Subject to Inclusion in the Automated Information System of State Monitoring of Water Bodies of the Russian Federation and the Automated Information System “State Water Register”, Certificate of State Registration of Computer Program, no. 2023668883, EDN: NJHIYW. (In Russian).

13. Draper N., Smith G., 1986. Prikladnoy regressionnyy analiz [Applied Regression Analysis]. Moscow, Finances and Statistics Publ., 366 p. (In Russian).

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