On the Approach to Solving the Problem of Reducing the Likelihood of Congestion on the River Section
Abstract
Floods on rivers are dangerous hydrological phenomena and pose a threat of flooding of territories where settlements, economic facilities, including critically important and potentially dangerous ones, may be located. Floods are often caused by the formation of congestion during the opening of rivers, however, forecasting the occurrence of congestion is quite problematic, and in order to protect the population and territories from such phenomena, it is necessary to carry out a sufficiently large set of measures, which leads to high economic costs. The purpose of the work is to substantiate an approach to reduce the likelihood of congestion on the river section by performing preventive engineering and technical measures. The probability of congestion depends on various factors of congestion formation, which have some parameters (characteristics). Statistical processing of data accumulated over many years of hydrological observations allows us to obtain some probabilistic assessment of the occurrence of congestion on the river section, which makes it possible to determine the need and importance of engineering and technical measures to reduce the likelihood of congestion, and with it floods. The article presents an approach to solving the problem of reducing the likelihood of congestion on the river section, taking into account the fact that when performing engineering and technical measures of a preventive nature, the parameters of the factors of congestion formation change. The methods used in the work to obtain a probabilistic assessment of the occurrence of congestion are the analysis of existing approaches for the probabilistic assessment of the occurrence of congestion, multiple regression analysis. Considerable attention is paid to the order of formation of the objective function, based on the processing of statistical data. Based on determining the degree of significance of the influence of particular parameters on the target indicator — the probability of congestion on a river section that can lead to flooding, an algorithm for forming a system of restrictions for the parameters of congestion factors is proposed. As a result, an approach to determining the probability of congestion during engineering and technical measures is presented.
About the Authors
Yu. A. TkachenkoRussian Federation
Yuliya A. Tkachenko
Sokolovskaya str., bld. 1А, Moscow region, Khimki, md. Novogorsk, 141435
P. N. Tkachenko
Russian Federation
Pavel N. Tkachenko
Sokolovskaya str., bld. 1А, Moscow region, Khimki, md. Novogorsk, 141435
E. V. Ivanov
Russian Federation
Evgeniy V. Ivanov
Sokolovskaya str., bld. 1А, Moscow region, Khimki, md. Novogorsk, 141435
References
1. Fedorov M. P. Study of the carrying capacity of the Lena riverbed by the method of georadiolocation / M. P. Fedorov, L. L. Fedorova, A. V. Omelianenko // Natural and Technical Sciences. 2018;(10):117–122. (In Russ.)
2. GOST R22.1.08-99. Safety in emergency situations. Monitoring and forecasting of dangerous hydrological phenomena and processes. General requirements. M., 1999. 8 p. (In Russ.)
3. Adverse weather conditions causing economic losses. Federal Service for Hydrometeorology and Environmental Monitoring. [Electronic resource] Access mode: http://meteo.ru/data/310-neblagopriyatnye-usloviya-pogody-nanjosshie-ekonomicheskie-poteri (accessed: 10.11.2023). (In Russ.)]
4. Mazur I. S., Shigarova Z. I., Bokarev A. I. Methodology for determining the degree of flood hazard on rivers // Dynamics of systems, mechanisms and machines. 2012;(3):328–332. (In Russ.)
5. Tkachenko Yu.A., Ponomarev A. I., Ivanov E. V., Sayapin O. V. Statement of the task of substantiating the rational list and scope of engineering and technical measures in the conditions of congestion // Scientific and Educational Tasks of Civil Defence. 2022;(3):59–63. (In Russ.)
6. Tkachenko Yu. A. Analysis of the hydrometeorological factors of congestion on the rivers of the Tomsk region / Yu. A. Tkachenko, A. N. Tedurieva, E. E. Ostapchuk // Improving the Unified State System of Emergency Prevention and Response and Civil Defense of the Russian Federation at the present stage: Proceedings of Section No. 1 of the XXXIII International Scientific and Practical Conference, Khimki, March 01, 2022. Khimki: Academy of Civil Protection of the Ministry of the Russian Federation for Civil Defense, Emergencies and Elimination of Consequences of Natural Disasters, 2022. P. 101–105. (In Russ.)
7. Kozlov D. V., Kuleshov S. L. Multidimensional data analysis of jamming factors in river basins // Vodnye resursy. 2019;46(2):132–141. (In Russ.). https://doi.org/10.31857/S0321–0596462132–141
8. Agafonova S. A., Berkovich K. M., Ruleva S. N. [et al.] Present-day specific features of the channel morphology and ice-jam formation at the Tom’ river // Water Sector of Russia: Problems, Technologies, Management. 2012;(6):21–33. (In Russ.)
9. Tkachenko Yu.A., Tkachenko P. N., Tedurieva A. N., Ivanov E. V. Analysis of scientific and methodological approaches to prediction of jam phenomena in the Tomsk region // Scientific and Educational Tasks of Civil Defence. 2022;(2): 29–37. (In Russ.)
10. Tkachenko P. N., Vakorin M. V. Analysis of the problem situation in case of using information flood forecasting sistems by units of EMERCOM of Russia // Siberian Fire and Rescue Bulletin. 2020;(4):58–63. (In Russ.)
11. Ilkov A. V., Belousov R. L. System analysis of factors congestion formation on rivers Northern European Russia // Scientific and Educational Tasks of Civil Defence. 2015;(3):64–72. (In Russ.)
12. Vakorin M. V., Pismensky N. V., Tkachenko P. N. Statement of the scientific problem of substantiation of the rational complex of actions to reduce the damage from flooding on rivers with a snow type of formation of a river flow // Scientific and Educational Tasks of Civil Defence. 2019;(4):63–71. (In Russ.)
Review
For citations:
Tkachenko Yu.A., Tkachenko P.N., Ivanov E.V. On the Approach to Solving the Problem of Reducing the Likelihood of Congestion on the River Section. Issues of Risk Analysis. 2024;21(1):56-64. (In Russ.)