Skip to main content
Log in

Estimates of Peak Flow of the Iya River during the Extreme Flood in 2019

  • Published:
Russian Meteorology and Hydrology Aims and scope Submit manuscript

Abstract

Methodological approaches and results of estimation of peak flow characteristics of the Iya River taking into account the extreme rainfall flood in the town of 2019, that led to the catastrophic flood in Tulun (the Irkutsk region), are considered. A hydrodynamic model considering the impact of hydraulic structures is proposed to determine the peak flow and to calculate flooding levels. The characteristics of peak flow are determined by various methods, including those considering several floods per year. It is recommended to obtain design values by generalizing the results of several methods of hydrological calculations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.

Similar content being viewed by others

REFERENCES

  1. G. A. Alekseev, “Determination of Probability of Hydrological and Climatic Events That Occur Several Times per Year,” Trudy GGI, No. 43 (1954) [in Russian].

  2. E. G. Blokhinov, Probability Distribution for River Runoff Values (Nauka, Moscow, 1974) [in Russian].

  3. M. V. Bolgov, “Estimates of Parameters of Distributions Obtained by Formulas of Kritskii and Menkel in Considering Prominent Features,” Meteorol. Gidrol., No. 11 (1984) [Sov. Meteorol. Hydrol., No. 11 (1984)].

  4. M. V. Bolgov and E. A. Korobkina, “Reconstruction of Rainfall Flood on the Adagum River Based on Runoff Formation Models,” Vodnoe Khozyaistvo Rossii: Problemy, Tekhnologii, Upravlenie, No. 3 (2013) [in Russian].

  5. M. V. Bolgov, E. A. Korobkina, M. D. Trubetskova, M. K. Filimonova, and I. A. Filippova, “Present-day Variations of the Minimum Runoff of the Volga Basin Rivers,” Meteorol. Gidrol., No. 3 (2014) [Russ. Meteorol. Hydrol., No. 3, 39 (2014)].

  6. M. V. Bolgov, E. A. Korobkina, and I. A. Filippova, “Bayesian Prediction of Minimum River Runoff under Nonstationary Conditions of Future Climate Change,” Meteorol. Gidrol., No. 7 (2016) [Russ. Meteorol. Hydrol., No. 7, 41 (2016)].

  7. M. V. Bolgov, I. O. Sarmanov, and O. V. Sarmanov, Markovian Processes in Hydrology (IVP RAN, Moscow, 2009) [in Russian].

  8. Climate Change in Russia in the 21st Century (CMIP5 Models); http://voeikovmgo.ru/?option=com_content&view=article&id=613&Itemid=236&lang=ru, Accessed January 15, 2020 [in Russian].

  9. Recommendations on the Method for Determination of Extreme Hydrological Characteristics (Stroiizdat, Moscow, 1981) [in Russian].

  10. A. V. Rozhdestvenskii, Accuracy Assessment for Distribution Curves of Hydrological Characteristics (Gidrometeoizdat, Leningrad, 1977) [in Russian].

  11. Code of Rules for Design and Construction. Determination of the Main Computational Hydrological Characteristics. SP 33-101-2003 (Gosstroi Rossii, Moscow, 2004) [in Russian].

  12. I. A. Filippova and N. V. Osipova, “Substantiation of Selecting a Type of Probability Distribution for Maximum Precipitation in the Amur River Basin,” in Water Resources: New Challenges and Solutions. Collected Scientific Papers: To the Year of Ecology in Russia and to 50 Years of Water Problems Institute of Russian Academy of Sciences (Lik, Novocherkassk, 2017) [in Russian].

  13. G. Bloschl, L. Gaal, J. Hall, A. Kiss, J. Komma, T. Nester, J. Parajka, R. A. P. Perdigao, L. Plavcova, M. Rogger, J. L. Salinas, and L. Viglione, “Increasing River Foods: Fiction or Reality?”, WIREs Water, 2 (2015).

  14. Handbook of Hydrology, Ed. by D. R. Maidment (McGraw-Hill, London, 1992).

  15. W. James and W. C. Huber, User System Models User’s Guide to SWMM (2003).

Download references

ACKNOWLEDGMENTS

The authors thank L.M. Korytnyi (Sochava Institute of Geography, Siberian Branch, Russian Academy of Sciences) and A.G. Lobanova (State Hydrological Institute) for useful discussions and assistance.

Funding

The study is partially financed by the State in the framework of the theme 0147-2019-0003 of the Governmental Assignment (the state registration number is AAAA-A18-118022090105-5).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. V. Bolgov.

Additional information

Russian Text ©The Author(s), 2020, published in Meteorologiya i Gidrologiya, 2020, No. 11, pp. 53-63.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bolgov, M.V., Korobkina, E.A., Osipova, N.V. et al. Estimates of Peak Flow of the Iya River during the Extreme Flood in 2019. Russ. Meteorol. Hydrol. 45, 783–790 (2020). https://doi.org/10.3103/S1068373920110059

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068373920110059

Keywords

Navigation