Vol. 9 pp. 328-345

Yu. A. Kolmakov, S. Z. Kalaeva, A. V. Tyurin, A. A. Tyurin

METHODS OF DRAWING UP MAPS OF FLOODING IN THE YAROSLAVL REGION AND TOOLS FOR COLLECTING DATA IN FORECASTING DANGEROUS HYDROLOGICAL PHENOMENA

Annotation. The article discusses flood forecasting methods and ways to prevent flooding in the technosphere safety management system of the region. The methods of flood hazard assessment, including hydrological, hydrodynamic, statistical, and geographical-hydrometeorological methods, are analyzed. The role of monitoring the hydrological situation and zonal maps of flooding in the emergency prevention and response system is also considered. Based on data from the Yaroslavl region, engineering and organizational measures to prevent flooding were considered. It has been established that in order to prevent floods, it is necessary to use integrated and coordinated forecasting methods and coordinated actions of management bodies to reduce risks and minimize damage from emergency situations.

Keywords: flood forecasting, flooding, technosphere safety, hydrodynamic modeling, floods, risk management.

For citation: Kolmakov Yu. A., Kalaeva S. Z., Tyurin A. V., Tyurin A. A. [Methods of drawing up maps of flooding in the Yaroslavl region and tools for collecting data in forecasting dangerous hydrological phenomena] Upravlenie tekhnosferoi, 2026, vol. 9, issue 2, рр. 328–345. DOI: 10.35634/UdSU.2026.45.29.005. (In Russ.).

REFERENCES

1. Maksimkina E. A. Sovremennye metody prognozirovaniya navodnenii s ispol'zovaniem sputnikovykh i meteorologicheskikh dannykh: integratsiya protsessov, modelei i mashinnogo obucheniya [Modern flood forecasting methods using satellite and meteorological data: integration of processes, models and machine learning]. Sciences of Europe [Sciences of Europe]. 2025, no. 166. Available at: https://cyberleninka.ru/article/n/ (Accessed: 12.03.2026). (In Russ.).

2. Metodicheskie rekomendatsii organam ispolnitel'noi vlasti sub"ektov Rossiiskoi Federatsii po primeneniyu tekhnicheskikh reshenii dlya zashchity ot pavodkov i navodnenii [Methodological recommendations to the executive authorities of the subjects of the Russian Federation on the application of technical solutions for protection against floods and floods]. MCHS Rossii [Ministry of Emergency Situations of Russia]. Moscow: FGBU VNII GOCHS (FTs), 2019, 92 p. (In Russ.).

3. Avakyan A. B., Istomina M. N. Prirodnye i antropogennye prichiny navodnenii [Natural and anthropogenic causes of floods]. Strategiya grazhdanskoi zashchity: problemy i issledovaniya [Strategy of civil protection: problems and research]. 2013, no.1. Available at: https://cyberleninka.ru/article/n/prirodnye-i-antropogennye-prichiny-navodneniy (Accessed: 12.03.2026). (In Russ.).

4. Biryukov E. S., Terent'ev N. E. K otsenke ehkonomicheskogo ushcherba ot navodnenii v Rossii i potentsiala adaptatsii [Assessment of economic damage from floods in Russia and the potential for adaptation]. Teoriya i praktika obshchestvennogo razvitiya [Theory and practice of social development]. 2024, no. 11. Available at: https://cyberleninka.ru/article/n/k-otsenke-ekonomicheskogo-uscherba-ot-navodneniy-v-rossii-i-potentsiala-adaptatsii (Accessed: 12.03.2026). (In Russ.).

5. Fomenko G. A., Fomenko M. A., Mikhailova A. V., Arabova E. A., Il'ina K. S. Klimaticheskaya povestka dnya sel'skogo khozyaistva Yaroslavskoi oblasti [The climate agenda of agriculture in the Yaroslavl region]. Problemy regional'noi ehkologii. [Problems of regional ecology]. 2021, no. 6, pp. 17 – 32. (In Russ.).

6. Tyurin A.V., Kalaeva S.Z., Tskhovrebov Eh.S., Markelov A.V. Sovershenstvovanie sistemy monitoringa i rannego opoveshcheniya o gidrologicheskoi opasnosti v tselyakh preduprezhdeniya CHS [Improving the system of monitoring and early warning of hydrological hazards in order to prevent emergencies Izvestiya] Samarskogo nauchnogo tsentra Rossiiskoi akademii nauk. [Proceedings of the Samara Scientific Center of the Russian Academy of Sciences]. 2025, 27(1), pp. 176 – 184. (In Russ.).

7. Alabyan A.M., Zelentsov V.A., Krylenko I.N., Potryasaev S.A., Sokolov B.V., Yusupov R.M. Operativnoe prognozirovanie navodnenii na osnove kompleksnogo uprezhdayushchego modelirovaniya i integratsii raznorodnykh dannykh [Operational forecasting of floods based on complex proactive modeling and integration of heterogeneous data]. Trudy SPIIRAN [Proceedings of SPIIRAN]. 2015, no. 4, pp. 5 – 33. (In Russ.).

8. Avakyan A.B., Istomina M.N. Navodneniya kak global'naya mnogoaspektnaya problema [Floods as a global multidimensional problem]. Vestnik RAN [Bulletin of the Russian Academy of Sciences]. 2002, no. 12, vol. 72, pp. 1 – 21. (In Russ.).

9. Bolgov M.V., Aref'eva E.V. Otsenka ehkstremal'nykh gidrologicheskikh kharakteristik v usloviyakh neopredelennosti klimaticheskikh izmenenii [Assessment of extreme hydrological characteristics in conditions of uncertainty of climatic changes]. Tekhnologii grazhdanskoi bezopasnosti [Technologies of civil safety]. 2021, vol. 18, no. 1(67), pp. 54–59. (In Russ.).

10. Ratkovich D.Ya., Ratkovich L.D. Tipy navodnenii i puti sokrashcheniya nanosimykh imi ushcherbov [Types of floods and ways to reduce the damage caused by them]. Vodnye resursy [Water resources]. 2000, vol. 27, no. 3, pp. 261 – 266. (In Russ.).

11. Ilyushov N.Ya. Prognozirovanie chrezvychainykh situatsii. Prognozirovanie posledstvii navodnenii: uchebnoe posobie. [Forecasting emergency situations. Forecasting the effects of floods: a textbook]. Novosibirsk: Publ., NGTU, 2019, 178 p. (In Russ.).

12. Metodicheskie rekomendatsii dlya organov ispolnitel'noi vlasti sub"ektov Rossiiskoi Federatsii po organizatsii podgotovki k pavodkoopasnomu periodu" (utv. MCHS Rossii 04.12.2014 N 2-4-87-40-14) [Methodological recommendations for the executive authorities of the subjects of the Russian Federation on the organization of preparations for the flood-prone period" (approved by the Ministry of Emergency Situations of Russia on 04.12.2014 N 2-4-87-40-14)

13. ST-KIMG.SP — signalizator urovnya vody (pavodkovyi signalizator) [St. KIMG.SP — water level alarm (flood alarm)]. GK «Strategiya»]. Available at: https://gk-strategy.ru/st-kimg-sp-signalizator-urovnja-vody-pavodkovyj-signalizator/ (Accessed: 19.05.2026). (In Russ.).

14. Samadi S. (2022) The convergence of AI, iot, and big data for advancing flood analytics research.

15. University of Oxford. "World's rivers remapped to improve flood modeling." sciencedaily. Sciencedaily, 16 May 2025. Available at: www.sciencedaily.com/releases/2025/05/250515131955.htm

16. Shamsutdinova T.M. Primenenie neirosetevogo modelirovaniya v zadachakh prognozirovaniya urovnya pavodka rek. [Application of neural network modeling in the tasks of forecasting river flood levels]. Vestnik NGU. Seriya: Informatsionnye tekhnologii [Bulletin of the NSU. Information Technology.]. 2023, 21(2), pp. 39 – 50. Available at: Https://doi.org/10.25205/1818-7900-2023-21-2-39-50 17. (In Russ.).

17. Kozlova D. E. Razrabotka integrirovannoi sistemy rannego opoveshcheniya o navodneniyakh na osnove sensornykh setei i gidravlicheskogo modelirovaniya [Development of an integrated flood early warning system based on sensor networks and hydraulic modeling]. Nauchnyi zhurnal «Nauka i mirovozzrenie» [Scientific journal "Science and Worldview"], 2025. (In Russ.).

About the Authors

Kolmakov Yuri Alekseevich

Postgraduate student, Yaroslavl State Technical University, 150023 Moskovsky Prospekt, Yaroslavl, 88. Russia.

E-mail: Адрес электронной почты защищен от спам-ботов. Для просмотра адреса в вашем браузере должен быть включен Javascript.

Kalaeva Sahiba Ziyaddin kzi

Doctor of Technical Sciences, Associate Professor, Head of the Department of Labor and Nature

Protection, Federal State Budgetary Educational Institution of Higher Education «Yaroslavl State

Technical University»150023, Yaroslavl region, Yaroslavl, Moskovsky Prospekt, 88, Russia.

Tyurin Alexander Vladimirovich

General Director, Strategy Group LLC, Yaroslavl, 88. Russia.

Tyurin Alexander Alexandrovich

applicant, Chief Operating Officer, Strategy Group LLC; 123317, Moscow, Presnenskaya Embankment, 8, building 1, office 551. Russia.

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