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Assessing the Characteristics of the Maximal Spring Flood Runoff in the Don Basin under Nonstationary Conditions

  • WATER RESOURCES AND THE REGIME OF WATER BODIES
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Abstract

Data on the maximal runoff of rivers in the Don Basin during spring flood are generalized, the cases of nonstationarity of time series are identified along with periods when such changes have taken place. The obtained results are used to evaluate the characteristics of maximal flow of spring flood under nonstationary conditions with the use of Bayesian approach. The results are given as a map of the depths of maximal runoff of spring flood with 1% exceedance probability and recommended for hydrological calculations when designing water-management facilities.

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REFERENCES

  1. Bolgov, M.V., Filippova, I.A., Korobkina, E.A., and Osipova, N.V., A method for probabilistic forecasting of extreme hydrological events under changing climate, Probl. Ekol. Monit. Model. Ekosist., 2018, vol. XXIX, no. 2, pp. 19–31.

    Google Scholar 

  2. Bolgov, M.V., Mishon, V.M., and Sentsova, N.I., Sovremennye problemy otsenki vodnykh resursov i vodoobespecheniya (Current Problems of Assessing Water Resources and Water Supply), Moscow: Nauka, 2005.

  3. Vodnye resursy Rossii i ikh ispol’zovanie (Water Resources in Russia and Their Use), Shiklomanov, I.A, Ed., St. Petersburg: Gos. Gidrol. Inst., 2008.

  4. Dzhamalov, R.G., Kireeva, M.B., Kosolapov, A.E., and Frolova, N.L., Vodnye resursy basseina Dona i ikh ekologicheskoe sostoyanie (Water Resources of the Don Basin and Their Ecological Conditions), Moscow: GEOS, 2017.

  5. Dmitrieva, V.A. and Maskaikina, S.V., Variations in water regime in the upper parts of the Don Basin in the present-day climatic period, in Vestn. Voronezh. Gos. Univ., Ser. Geograf. Geoekol., 2013, no. 1, pp. 17–21.

  6. Evstigneev, V.M., Rechnoi stok i gidrologicheskie raschety (River Runoff and Hydrological Calculations), Moscow: Mosk. Gos. Univ., 1990.

  7. Metodicheskie rekomendatsii po otsenke odnorodnosti gidrologicheskikh kharakteristik i opredelenie ikh raschetnykh znachenii po neodnorodnym dannym (Methodological Recommendations for Assessing the Homogeneity of Hydrological Characteristics and Their Estimation Based on Heterogeneous Data), St. Petersburg: Nestor-Istoriya, 2010.

  8. SP 33-101-2003. Opredelenie osnovnykh gidrologicheskikh kharakteristik (Determining the Main Hydrological Characteristics), Moscow: Gosstroi Rossii, 2004.

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Funding

This study was partially carried out under governmental order to the Institute of Water Problems, Russian Academy of Sciences (subject-2019-0003, state registration AAAA-A18-118022090105-5.

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Authors and Affiliations

  1. Institute of Water Problems, Russian Academy of Sciences, 119333, Moscow, Russia

    N. V. Osipova & M. V. Bolgov

Authors
  1. N. V. Osipova
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  2. M. V. Bolgov
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Correspondence to N. V. Osipova.

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Translated by G. Krichevets

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Osipova, N.V., Bolgov, M.V. Assessing the Characteristics of the Maximal Spring Flood Runoff in the Don Basin under Nonstationary Conditions. Water Resour 47, 945–952 (2020). https://doi.org/10.1134/S009780782006010X

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  • DOI: https://doi.org/10.1134/S009780782006010X

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