ANALYSIS OF DETERMINING THE BOUNDARIES OF FLOOD ZONES ON THE EXAMPLE OF THE DON RIVER IN THE ROSTOV REGION

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Татьяна Владимировна Мельник Никита Юрьевич Трандж Юлия Александровна Клюшина

Abstract

Relevance. Currently, the state of water bodies in the Rostov region is characterized by active siltation and overgrowth of woody-shrub vegetation of small river beds, the presence of a large number of non-engineering structures in them. In most cases, siltation and overgrowth of the channels of watercourses does not allow for accident-free passage of increased flood water flows and, as a result, can lead to flooding and flooding of the territories of 179 settlements of the Rostov region. To date, 89.7 thousand residents live in an area exposed to the negative impact of waters as a result of the unsatisfactory state of water bodies and their shores.


The most effective organization of protection which minimizes the striking factors and consequences of floods is their forecasting and restriction for use of territories of waters subject to harmful effects.


For such forecasting, hydrological calculations (forecast) are used - a scientifically based prediction of the development, nature and scale of the negative impact of waters. The forecast indicates the approximate time of occurrence of any element of the expected regime, for example, the opening or freezing of the river, the expected maximum of flood, the possible duration of high water levels, the likelihood of ice congestion and others. Forecasts are divided into short-term - up to 10-12 days and long-term - up to 2-3 months or more. They can be local (for certain sections of rivers and reservoirs) or territorial, containing information generalized over a significant area about the expected size and timing of the phenomenon. This article discusses the process and problems of determining the boundaries of flood zones, flooding of territories, and also carried out work to determine the boundaries of flood zones of different probability based on hydrodynamic modeling. Methods. We did calculation of delimitation of zones of floodings for various values of estimated security which is based on geoinformation and hydrodynamic modeling. Creation of digital model of a land relief search and collecting a large amount of data from various sources on spatial data demanded. We applied the described method of creation of cadastral maps to creation of borders of the zones of flooding of the distinguished security adjacent to the Don River on the site from St. Kazan to the station Migulinskaya Rostovskoy of the region of the Russian Federation. Results. Were as a result received XML files and cards of flooding of various security of the territory which can be used for entering into Federal Registration Service.

Article Details

Section
Aquatic sciences and fisheries

References

1. About delimitation of zones of flooding, flooding [Electronic resource]: Russian Federation Government decree of 18.04.2014 No. 360. – Access from справ. - a legal system ConsultantPlus.
2. Chilinger L.N. Methodological approach to establishing the boundaries of zones with a special water regime: justification and technological scheme of implementation//Bulletin of SGUGiT (Siberian State University of Geosystems and Technologies). 2019. №3.
3. Width N.V., Kononov O.Yu. Relevance of the problem of accounting for zones with special conditions for the use of the territory//Bulletin of the Belgorod State Technological University. – 2014. – № 2. - S. 135-138.
4. Danilov-Danilyan V.I., Khranovich I.L. Water resources management. Harmonizing water use strategies. - M.: Scientific world, 2010. - 232 s.
5. Hydrodynamic modeling. Preparation of hydrodynamic model in Petrel 2015 and initialization in tNavigator. - Kazan: K (P) FU, 2020. - 65 s.
6. A.A. Voronin, A.A. Vasilchenko, M.V. M.V. Pisareva, A.V. Pisarev, A.V. Hoperskov, S.S. Khrapov, Yu.E. Podshchipkova, "Design of a system of environmental-economic management of the territory of the Volga-Akhtubinsk floodplain on the basis of hydrodynamic and geoinformation modeling", UBS, 55 (2015), 79–102
7. D.D. Nogovitsyn. Definition of zones of flooding at various obespechennost with use of GIS-technologies / D.D. Nogovitsyn, Z.M. Shane, L.P. Sergeyev//Sb. materials III Mezhd.nauchn-praktich.konf. "Subsoil resources of Russia: economy and geopolitics, geotechnologies and geoecology, lithosphere and geotechnics", Penza, 2004. – Page 83-85.
8. Modeling and the spatial analysis in GIS. Digital modeling of a relief in GIS "Panorama" [Text]: studies. - a method. grant/T. A. Khlebnikova, S.R. Gorobtsov. – Novosibirsk: СГУГиТ, 2018. – 70 with
9. Kuzmin N. M., Belousov A. V., Shushkevich T. S., Khrapov S. S. Numerical scheme cSPH TVD: a study of the influence of tilt limiters//Mathematical physics and computer modeling. 2014. №1.
10. Tsvetkov V. Ya. Models and modeling. − M.: Gosinformobr, 2006. - 92 s.
11. Lissitsky D.V. Basic principles of digital mapping of the area. − M.: Nedra, 1988. - 264 s.
12. Litvinenko M.Yu., Makhovykh I.A., Kryuchkov V.N., Nemilostev N.D., Sartin S.A. Data from UAVs for building a digital model of the Esil (Ishim) river basin//Achievements of university science. 2014. №12.
13. Chizhevskaya N.A., Prikhodko I.A. Ecological state of the Don River//Colloquium-journal. 2021. №3 (90).
14. Volovik, G. S. Water and biological resources of the Lower Don: state and problems of management: monogr ./G. S. Volovik, S. P. Volovik, A. E. Kosolapov. - Novocherkassk: SevKavNIIVH, 2009. - 301 s.
15. Skin V.N., Demyanenko A.V. Water regime of floodplain spawning grounds on small and medium rivers of the Don River basin//Reclamation and hydraulic engineering. 2015. №2 (18).
16. Trofimov G.N. Calculation of empirical probability of maximum flood flow rates//Hydrometeorology and ecology. 2009. №3 (54).
17. Creation of cadastral maps of flooding based on numerical modeling / A. Y. Klikunova, A. V. Khoperskov, E. O. Agafonnikova, A. S. Kuz’mich, T. A. Dyakonova, S. S. Khrapov, I. M. Gusev // Journal of Computational and Engineering Mathematics. — 2019. — Vol. 6, № 2.
18. Rapid flood damage prediction and forecasting using public domain cadastral and address point data with fuzzy logic algorithms / J. L. Gutenson, A. N. S. Ernest, A. A. Oubeidillah, L. Zhu, X. Zhang, S. T. Sadeghi // JAWRA Journal of the American Water Resources Association. — 2018. — Vol. 54, № 1.
19. Thompson, R. J. A Model for the Creation and Progressive Improvement of a Digital Cadastral Data Base / R. J. Thompson // Land Use Policy. — 2015. — Vol. 49.
20. Roşu D.C. Some aspects of cadastral documentation necessary registration agricultural land in land book / D.C.Roşu, Valeria Ciolac, O.N.Colţan // Journal of Horticulture, Forestry and Biotechnology. 2016. N 20 (2).