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Small Urban River Runoff Response to 2020 and 2021 Extreme Rainfalls on the Territory of Moscow

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Abstract

An important trend of modern development is the concentration of population in urban agglomerations, where a specific meso- and micro-climate is created under conditions of dramatically transformed natural landscapes. In the present paper, the long-term statistical analysis of intense rainfalls and annual daily precipitation maxima was carried out based on the Moscow region weather stations timeseries for the period of 1966–2021. An increase in the variability of intense precipitation over the Moscow region corresponding to the formation of significant floods was revealed in some years. The COSMO-CLM model simulated extreme precipitation for the basin of the Setun’ River (190 km2), the largest right-bank tributary of the Moskva River within the Moscow city, which was recorded over Moscow in May 2020 and June 2021. Maximum precipitation was registered over the Setun’ River basin during 45–90 minutes and induced rainfall floods that exceeded the spring flood by two times. The estimated basin travel time was 6–8 hours. Rainfalls form a multistep hydrograph inheriting the shower precipitation structure on small rivers.

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REFERENCES

  1. T. V. Berezhnaya, A. D. Golubev, and L. N. Parshina, "Anomalous Hydrometeorological Phenomena on the Russian Federation Territory in May 2020," Meteorol. Gidrol., No. 8 (2020) [in Russian].

  2. M. V. Bolgov, M. D. Trubetskova, and M. A. Kharlamov, "Estimation of Statistical Characteristics of Rainfall in the Moscow Region," Meteorol. Gidrol., No. 7 (2020) [Russ. Meteorol. Hydrol., No. 7, 45 (2020)].

    Article  Google Scholar 

  3. N. E. Brusova, I. N. Kuznetsova, and M. I. Nahaev, "Precipitation Regime Features in the Moscow Region in 2008–2017," Gidrometeorologicheskie Issledovaniya i Prognozy, No. 1 (2019) [in Russian].

  4. O. N. Bulygina, V. M. Veselov, V. N. Razuvaev, and T. M. Aleksandrova, Description of the Dataset of Observational Data on Major Meteorological Parameters from Russian Weather Stations, Database State Registration Certificate No. 2014620549 (2014) [in Russian].

  5. A. D. Golubev, L. N. Parshina, and K. A. Sumerova, "Anomalous Hydrometeorological Phenomena on the Russian Federation Territory in June 2021," Meteorol. Gidrol., No. 9 (2021) [in Russian].

  6. RD 52.08.869-2017. The Method to Measure Water Level in Reservoirs and Watercourses with Automated Hydrological Complexes (FGBU GGI, St. Petersburg, 2017) [in Russian].

  7. RD 52.27.7. Manual on Short-range General-purpose Weather Forecasting (Hydrometcenter of Russia, Moscow, 2019) [in Russian].

  8. Weather and Climate, http://www.pogodaiklimat.ru/ [in Russian].

  9. Consequences of the "Supershower" in Moscow. Photo Report, https://www.rbc.ru/photoreport/28/06/2021/60d9a2c79a794705aa7c5c67 [in Russian].

  10. SNiP 2.01.14-83. Determination of Calculated Hydrological Characteristics. USSR Gosstroi (Stroiizdat, Moscow, 1985) [in Russian].

  11. V. R. Bityukova and N. A. Koldobskaya, "Environmental Factors and Constraints in the Development of the New Territory of Moscow (So-called "New Moscow")," Geography, Environment, Sustainability, No. 2, 11 (2018).

    Article  Google Scholar 

  12. T. M. Cover and J. A. Thomas, Elements of Information Theory (Wiley, 2005).

    Book  Google Scholar 

  13. F. Faccini, F. Luino, A. Sacchini, L. Turconi, and J. V. de Graff, "Geohydrological Hazards and Urban Development in the Mediterranean Area: An Example from Genoa (Liguria, Italy)," Nat. Haz. Earth Syst. Sci., No. 12, 15 (2015).

    Article  Google Scholar 

  14. H. Hersbach, B. Bell, P. Berrisford, S. Hirahara, A. Horanyi, J. Munoz-Sabater, J. Nicolas, C. Peubey, R. Radu, D. Schepers, A. Simmons, C. Soci, S. Abdalla, X. Abellan, G. Balsamo, P. Bechtold, G. Biavati, J. Bidlot, M. Bonavita, G. Chiara, P. Dahlgren, D. Dee, M. Diamantakis, R. Dragani, J. Flemming, R. Forbes, M. Fuentes, A. Geer, L. Haimberger, S. Healy, R. Hogan, E. Holm, M. Janiskova, S. Keeley, P. Laloyaux, P. Lopez, C. Lupu, G. Radnoti, P. Rosnay, I. Rozum, F. Vamborg, S. Villaume, and J. Thepaut, "The ERA5 Global Reanalysis," Quart. J. Roy. Meteorol. Soc., No. 730, 146 (2020).

    Article  Google Scholar 

  15. T. R. Karl, N. Nicholls, and A. Ghazi, "Clivar/GCOS/WMO Workshop on Indices and Indicators for Climate Extremes Workshop Summary," in Weather and Climate Extremes (Springer, Dordrecht, 1999).

  16. P. L. Kirillov, A. G. Makhrova, and T. G. Nefedova, "Current Trends in Moscow Settlement Pattern Development: A Multiscale Approach," Geography, Environment, Sustainability, No. 4, 12 (2019).

    Article  Google Scholar 

  17. P. Liang and Y. Ding, "The Long-term Variation of Extreme Heavy Precipitation and Its Link to Urbanization Effects in Shanghai during 1916–2014," Adv. Atmos. Sci., No. 3, 34 (2017).

    Article  Google Scholar 

  18. H. R. Maier, A. Jain, G. C. Dandy, and K. P. Sudheer, "Methods Used for the Development of Neural Networks for the Prediction of Water Resource Variables in River Systems: Current Status and Future Directions," Environ. Model. Softw., No. 8, 25 (2010).

    Article  Google Scholar 

  19. V. Masson, A. Lemonsu, J. Hidalgo, and J. Voogt, "Urban Climates and Climate Change," Ann. Rev. Environ. Resources, 45 (2020).

    Article  Google Scholar 

  20. I. G. Pechlivanidis, B. Jackson, H. Mcmillan, and H. V. Gupta, "Robust Informational Entropy-based Descriptors of Flow in Catchment Hydrology," Hydrol. Sci. J., No. 1, 61 (2016).

    Article  Google Scholar 

  21. T. C. Peterson, C. C. Folland, G. Gruza, W. Hogg, A. Mokssit, and N. Plummer, Report on the Activities of the Working Group on Climate Change Detection and Related Rapporteurs 1998–2001, Rep. WCDMP-47, WMO-TD 1071 (2001).

  22. B. Rockel, A. Will, and A. Hense, "The Regional Climate Model COSMO-CLM (CCLM)," Meteorol. Z., 17 (2008).

    Article  Google Scholar 

  23. P. S. Kaspersen, N. H. Ravn, K. Arnbjerg-Nielsen, H. Madsen, and M. Drews, "Comparison of the Impacts of Urban Development and Climate Change on Exposing European Cities to Pluvial Flooding," Hydrol. Earth Syst. Sci., No. 8, 21 (2017).

    Article  Google Scholar 

  24. D. I. Sokolov, O. N. Erina, M. A. Tereshina, and V. V. Puklakov, "Impact of Mozhaysk Dam on the Moscow River Sediment Transport," Geography, Environment, Sustainability, No. 4, 13 (2020).

    Article  Google Scholar 

  25. M. Tereshina, O. Erina, D. Sokolov, L. Efimova, and N. Kasimov, "Nutrient Dynamics along the Moskva River under Heavy Pollution and Limited Self-purification Capacity," E3S Web of Conferences, No. 05014, 163 (2020).

  26. M. Varentsov, T. Samsonov, and M. Demuzere, "Impact of Urban Canopy Parameters on a Megacity’s Modelled Thermal Environment," Atmosphere, No. 12, 11 (2020).

    Article  Google Scholar 

  27. H. Wouters, M. Demuzere, U. Blahak, K. Fortuniak, B. Maiheu, J. Camps, D. Tielemans, and N. P. M. van Lipzig, "The Efficient Urban Canopy Dependency Parametrization (SURY) v1.0 for Atmospheric Modelling: Description and Application with the COSMO-CLM Model for a Belgian Summer," Geosci. Model Dev., No. 9, 9 (2016).

    Article  Google Scholar 

  28. H. Wouters, M. Demuzere, K. de Ridder, and N. P. M. van Lipzig, "The Impact of Impervious Water-storage Parametrization on Urban Climate Modelling," Urban Climate, 11 (2015).

    Article  Google Scholar 

  29. W. Wu, G. C. Dandy, and H. R. Maier, "Protocol for Developing ANN Models and Its Application to the Assessment of the Quality of the ANN Model Development Process in Drinking Water Quality Modelling," Environ. Model. Softw., 54 (2014).

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Lomonosov Moscow State University, GSP-1, 119991, Moscow, Russia

    S. R. Chalov, V. S. Platonov, M. A. Samokhin, Yu. I. Yarynich & N. S. Kasimov

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

    V. M. Moreido & M. V. Bolgov

  3. All-Russian Research Institute of Hydrometeorological Information–World Data Center, 249035, Obninsk, Kaluga oblast, Russia

    N. N. Korshunova

Authors
  1. S. R. Chalov
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  2. V. S. Platonov
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  3. V. M. Moreido
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  4. M. A. Samokhin
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  5. Yu. I. Yarynich
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  6. N. N. Korshunova
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  7. M. V. Bolgov
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  8. N. S. Kasimov
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Correspondence to S. R. Chalov.

Additional information

Translated from Meteorologiya i Gidrologiya, 2023, No. 2, pp. 69-79. https://doi.org/10.52002/0130-2906-2023-2-69-79.

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Chalov, S.R., Platonov, V.S., Moreido, V.M. et al. Small Urban River Runoff Response to 2020 and 2021 Extreme Rainfalls on the Territory of Moscow. Russ. Meteorol. Hydrol. 48, 138–146 (2023). https://doi.org/10.3103/S1068373923020061

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  • DOI: https://doi.org/10.3103/S1068373923020061

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