Skip to main content
Log in

Short-range Streamflow Forecasting of the Kama River Based on the HBV Model Application

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

Abstract

The experience of constructing a method for short-range forecasting of water discharge in the Kama River basin is described. The forecast method is based on the HBV-96 conceptual model of runoff formation in a watershed with optimized parameters, as well as on the algorithm for the correction of operational forecasts. It is shown that if the runoff formation model parameters are optimized and the forecast correction algorithm is applied, the model is highly efficient at simulating variations in water discharge at gaging stations and can be used for operational short-range hydrological forecasting and for the evaluation of the hazard of expected hydrological conditions on the rivers. The implementation of the forecasting method allows obtaining water discharge forecasts for gaging stations in the Kama River basin with a lead time up to 3 days using meteorological forecasts with a corresponding lead time.

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

Similar content being viewed by others

REFERENCES

  1. V. A. Bel’chikov and V. I. Koren’, “Model of Meltwater and Rainfall Runoff Formation for Forest Catchments,” Trudy Gidromettsentra SSSR, No. 218 (1979) [in Russian].

  2. S. V. Borsch, Yu. A. Simonov, and A. V. Khristoforov, “Methods for the Streamflow Forecast Correction,” Gidrometeorologicheskie Issledovaniya i Prognozy, No. 1 (2020) [in Russian].

  3. S. V. Borsch, Yu. A. Simonov, and A. V. Khristoforov, “Flood Forecasting and Early Warning System for Rivers of the Black Sea Shore of the Caucasian Region and the Kuban River Basin,” Trudy Gidromettsentra Rossii, No. 356 (2015) [in Russian].

  4. S. V. Borsch, Yu. A. Simonov, and A. V. Khristoforov, “Efficiency of Streamflow Modeling and Forecasting,” Gidrometeorologicheskie Issledovaniya i Prognozy, No. 1 (2020) [in Russian].

  5. S. V. Borsch and A. V. Khristoforov, “River Runoff Forecast Verification,” Trudy Gidromettsentra Rossii, No. 355 (2015) [in Russian].

  6. V. I. Koren’, Mathematical Models in River Runoff Forecasts (Gidrometeoizdat, Leningrad, 1991) [in Russian].

    Google Scholar 

  7. Manual for the Forecast Service, Section 3, Part 1: Inland Water Regime Forecasting (Gidrometeoizdat, Leningrad, 1962) [in Russian].

  8. Basic Hydrological Characteristics of the Kama Basin Rivers, Ed. by V. Yu. Georgievskii (2015) [in Russian].

  9. G. S. Rivin, I. A. Rozinkina, and D. V. Blinov, “Technological Line of COSMO-RU Short-range Mesoscale Operational Weather Forecast System with 7 km Grid Spacing,” Trudy Gidromettsentra Rossii, No. 347 (2012) [in Russian].

    Google Scholar 

  10. Manual on Hydrological Forecasts, Issue 2: Short-range Forecasts of River Water Discharge and Water Level (Gidrometeoizdat, Leningrad, 1989) [in Russian].

  11. H. E. Beck, A. I. J. M. van Dijk, A. de Roo, D. G. Miralles, T. R. McVicar, J. Schellekens, and L. A. Bruijnzeel, “Global-scale Regionalization of Hydrologic Model Parameters,” Water Resour. Res., 52 (2016).

    Article  Google Scholar 

  12. S. Bergstrom, “The HBV Model: Its Structure and Applications,” SMHI Hydrology, RH No. 4 (1992).

  13. S. Bergstrom, “The HBV Model,” in Computer Models of Watershed Hydrology, Ed. by V. P. Singh (Water Resources Publications, Highland Ranch, CO, 1995).

  14. S. Borsch, A. Khristoforov, V. Krovotynzev, E. Leontieva, Y. Simonov, and V. Zatyagalova, “A Basin Approach to a Hydrological Service Delivery System in the Amur River Basin,” Geosciences, 8 (2018).

    Article  Google Scholar 

  15. S. Borsch and Y. Simonov, “Operational Hydrologic Forecast System in Russia,” in Flood Forecasting. A Global Perspective, Chapter 7, Ed. by T. E. Adams III and T. C. Pagano (Academic Press, 2016).

  16. J. Doherty, Calibration and Uncertainty Analysis for Complex Environmental Models (Watermark Numerical Computing, Brisbane, Australia, 2015).

    Google Scholar 

  17. T. L. A. Driessen, R. T. W. L. Hurkmans, W. Terink, P. Hazenberg, P. J. J. F. Torfs, and R. Uijlenhoet, “The Hydrological Response of the Ourthe Catchment to Climate Change as Modelled by the HBV Model,” Hydrol. Earth Syst. Sci., No. 4, 14 (2010).

    Article  Google Scholar 

  18. Q. Y. Duan, V. K. Gupta, and S. Sorooshian, “Shuffled Complex Evolution Approach for Effective and Efficient Global Minimization, ” J. Optim. Theory Appl., 76 (1993).

    Article  Google Scholar 

  19. FAO Irrigation and Drainage Paper 56. Crop Evapotranspiration—Guidelines for Computing Crop Water Requirements (1998).

  20. K. P. Georgakakos, R. Graham, R. Jubach, T. Carpenter, E. Shamir, C. Spencer, and J. Sperfslage, HRC Technical Report No. 9. Global Flash Flood Guidance System, Phase I (2013).

  21. M. Goswami, K. O’Connor, K. Bhattarai, and A. Shamseldin, “Assessing the Performance of Eight Real-time Updating Models and Procedures for the Brosna River,” Hydrol. Earth Syst. Sci., 9 (2005).

    Article  Google Scholar 

  22. Guide to Hydrological Practices, Vol. 2: Management of Water Resources and Application of Hydrological Practices, No. 168 (World Meteorological Organization, 2009).

  23. G. Lindstrom, B. Johansson, M. Persson, M. Gardelin, and S. Bergstrom, “Development and Test of the Distributed HBV-96 Hydrological Model,” J. Hydrol., No. 1–4, 201 (1997).

    Article  Google Scholar 

  24. Manual on Flood Forecasting and Warning, No. 1072 (World Meteorological Organization, 2011).

  25. D. N. Moriasi, J. G. Arnold, M. W. van Liew, R. L. Binger, R. D. Harmel, and T. L. Veith, “Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations,” in Transactions of the ASABE, No. 3, 50 (2007).

    Article  Google Scholar 

  26. M. Osuch, R. J. Romanowicz, and M. J. Booij, “The Influence of Parametric Uncertainty on the Relationships between HBV Model Parameters and Climatic Characteristics,” Hydrol. Sci. J., No. 7–8, 60 (2015).

    Article  Google Scholar 

  27. T. Vetter, S. Huang, V. Aich, T. Yang, X. Wang, V. Krysanova, and F. Hattermann, “Multi-model Climate Impact Assessment and Intercomparison for Three Large-scale River Basins on Three Continents,” Earth Syst. Dyn., No. 1, 6 (2015).

    Article  Google Scholar 

  28. F. Wetterhall and F. di Giuseppe, “The Benefit of Seamless Forecasts for Hydrological Predictions over Europe,” Hydrol. Earth Syst. Sci., No. 6, 22 (2018).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu. A. Simonov.

Additional information

Translated from Meteorologiya i Gidrologiya, 2021, No. 6, pp. 55-65. https://doi.org/10.52002/0130-2906-2021-6-55-65.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Simonov, Y.A., Semenova, N.K. & Khristoforov, A.V. Short-range Streamflow Forecasting of the Kama River Based on the HBV Model Application. Russ. Meteorol. Hydrol. 46, 388–395 (2021). https://doi.org/10.3103/S1068373921060054

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068373921060054

Keywords

Navigation