Skip to main content
SpringerLink
Log in

Development of intelligent information systems for operational river-flood forecasting

  • From the Researcher’s Notebook
  • Published:
Herald of the Russian Academy of Sciences Aims and scope Submit manuscript

Abstract

The structural framework and practical implementation of operational river flood forecasting systems, based on integrated use of state-of-the-art information technologies and hydrological simulation methods, are described. They exemplify the practical implementation of an interdisciplinary approach that uses broadly the Earth’s remote sensing data, service architecture–based forecasting systems, and an intelligent interface to select the type and adjust the parameters of hydrological models, providing the interpretation, user-friendly representation, and accessibility of forecast results as web services. A practical trial of the system’s prototype proved the possibility to obtain high-accuracy operational (from several hours to several days) forecasts for the inundation areas and depths of river valley sections.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. B. N. Porfiriev and E. A. Makarova, “Economic evaluation of damage from natural disasters,” Herald Russ. Acad. Sci. 84, 395 (2014).

    Article  Google Scholar 

  2. B. N. Porfiriev, “Economic consequences of the 2013 catastrophic flood in the Far East,” Herald Russ. Acad. Sci. 85, 40 (2015).

    Article  Google Scholar 

  3. N. I. Alekseevskii, N. L. Frolova, and A. V. Khristoforov, Monitoring Hydrological Processes and Improving Water Management Safety (Izd. Mos. Gos. Univ., Moscow, 2011) [in Russian].

    Google Scholar 

  4. O. F. Vasil’ev, “Designing systems of operational freshet and high water prediction,” Herald Russ. Acad. Sci. 82, 129 (2012).

    Article  Google Scholar 

  5. V. I. Danilov-Danil’yan and A. N. Gel’fan, “The extraordinary flood in the Amur River basin,” Herald Russ. Acad. Sci. 84, 335 (2014).

    Article  Google Scholar 

  6. B. A. Novakovskii, O. N. Kolesnikova, A. I. Prasolova, and R. V. Permyakov, “Geoinformation modeling of floods based on remote sensing data (acase study of Biisk, Altai krai),” Geoinformatika, No. 1, 15 (2015).

    Google Scholar 

  7. A. M. Alabyan, N. I. Alekseevskii, L. S. Evseeva, et al., “Genetic analysis of the causes of the spring inundation of the Small Northern Dvina valley near Velikii Ustyug city,” in Soil Erosion and River-Bed Processes, Ed. by R. S. Chalov (Izd. Mos. Gos. Univ., Moscow, 2004), Vol. 14, pp. 104–130 [in Russian].

    Google Scholar 

  8. V. A. Zelentsov, Yu. Yu. Petukhova, S. A. Potryasaev, and S. A. Rogachev, “A technology of operational river overflow prediction during spring floods,” in SPIIRAS Proceedings: Technologies and Case Studies for Automating and Intellectualizing Ground-, Air-, and Space-Based Monitoring (2013), Vol. 6 (29), pp. 40–57. http://www.mathnet.ru/links/811408add3a65a33a45547e5240f3b7c/trspy668.pdf. Cited December 16, 2015.

    Google Scholar 

  9. E. L. Sherzhukov, “Regional systems for monitoring hazardous natural and anthropogenic phenomena with a case study of Krasnodar krai,” in The Water Element: Hazards: Forecast, Control, and Prevention Opportunities. Proc. of the All-Russia Scientific Conference. Krasnodar, October 7–12, 2013 (Izd. LIK, Novocherkassk, 2013), pp. 261–265 [in Russian].

    Google Scholar 

  10. A. Romanovs, B. V. Sokolov, A. Lektauers, et al., “Crowdsourcing interactive technology for naturaltechnical objects integrated monitoring,” in Speech and Computer: Lecture Notes in Computer Science (Springer, Heidelberg, 2014), Vol. 8773, pp. 176–183.

    Google Scholar 

  11. I. N. Krylenko, “The experience of using space images for computer simulation of territory inundations during river floods,” in The Earth from Space—the Most Effective Solutions: II International Conference, November 30–December 2, 2005. Abstracts (Binom, Moscow, 2005), pp. 104–106 [in Russian].

    Google Scholar 

  12. Y. Merkuryev, M. Okhtilev, B. Sokolov, et al., “Intelligent technology for space and ground based monitoring of natural objects in cross-border EU–Russia territory,” in International Geoscience and Remote Sensing Symposium (IGARSS 2012) (Munich, 2012), pp. 2759–2762.

    Chapter  Google Scholar 

  13. B. V. Sokolov, M. Yu. Okhtilev, V. A. Zelentsov, and M. A. Maslova, “The intelligent monitoring technology based on integrated ground and aerospace data,” in Proc. of the Int. Conf. on Harbor Maritime and Multimodal Logistics M&S (Vienna, 2012), pp. 112–117.

    Google Scholar 

  14. V. A. Zelentsov, A. P. Kovalev, M. Yu. Okhtilev, et al., “Methodology of creating and implementing intelligent information technologies for ground and space monitoring of complex objects,” in SPIIRAS Proceedings: Methodological and Methodical Basics of Solving Ground and Space Monitoring Problems (2013), Vol. 5, pp. 7–81.

    Google Scholar 

  15. B. V. Sokolov and R. M. Yusupov, “Conceptual foundations of quality estimation and analysis for models and multiple-model systems,” J. Comput. Syst. Sci. Int. 43 (6), 831 (2004).

    Google Scholar 

  16. V. A. Zelentsov, A. P. Kovalev, A. N. Kozhanov, et al., “The information–analytical system to control territorial development using the Earth’s remote sensing data and mobile geoinformation technologies,” in Ecology. Economy. Informatics. A Collection of Articles in 3 Vols., Vol. 3: Geoinformation Technologies and Space Monitoring (Izd. Yuzhn. Fed. Univ., Rostov-on-Don, 2015), pp. 48–59 [in Russian].

    Google Scholar 

  17. N. I. Alekseevskii, I. N. Krylenko, V. V. Belikov, et al., “Numerical hydrodynamic simulation of the flood in Krymsk on July 6–7, 2012,” Gidrotekhn. Stroitel’stvo, No. 3, 29 (2014).

    Google Scholar 

  18. S. V. Lebedeva, A. M. Alabyan, I. N. Krylenko, and T. A. Fedorova, “Floods in the Northern Dvina River mouth and their simulation,” Georisk, No. 1, 18 (2015).

    Google Scholar 

  19. A. S. Kalugin and I. N. Krylenko, “Mathematical simulation of flood wave movement using source information of various levels of detail,” Vodnoe Khozyaistvo Rossii: Problemy, Tekhnologii, Upravlenie, No. 3, 38 (2014).

    Google Scholar 

  20. N. B. Baryshnikov, Hydraulic Resistances of Riverbeds (Izd. Ross. Gos. Gidrometeorol. Univ., St. Petersburg, 2003) [in Russian].

    Google Scholar 

  21. B. V. Sokolov, V. A. Zelentsov, O. Brovkina, et al., “Complex objects remote sensing forest monitoring and modeling,” in Modern Trends and Techniques in Computer Science: Advances in Intelligent Systems and Computing, Ed. by R. Silhavy, R. Senkerik, Z. K. Oplatkova, P. Silhavy, and Z. Prokopova (Springer, 2014),Vol. 285, pp. 445–453.

    Article  Google Scholar 

  22. B. V. Sokolov, V. A. Zelentsov, R. M. Yusupov, and Yu. A. Merkuryev, “Multiple models of information fusion processes: Quality definition and estimation,” J. Comput. Sci. 5, 380 (2014).

    Article  Google Scholar 

  23. V. V. Belikov and A. N. Militeev, “The two-layered mathematical model of catastrophic floods,” Vych. Tekhnol., No. 3, 167 (1992).

    Google Scholar 

  24. C. Skotner, A. Klinting, and H. Ammentorp, MIKE FLOOD WATCH—Managing real-time forecasting. http://dhigroup.com/upload/publications/mike11/Skotner_MIKE_FLOOD_watch.pdf. Cited September 9, 2015.

    Google Scholar 

  25. http://oss.deltares.nl/web/delft3d. Cited September 22, 2015.

  26. http://www.hec.usace.army.mil/software/hec-ras. Cited September 22, 2015.

  27. V. V. Belikov and V. V. Kochetkov, Software Complex STREAM_2D to Calculate Streams, Bottom Deformation, and Pollutants Transfer in Open Flows. Software State Registration Certificate no. 612181. Russian Agency for Intellectual Property (2014).

    Google Scholar 

  28. M. Yu. Okhtilev, B. V. Sokolov, and R. M. Yusupov, Intelligent Technologies for Monitoring and Controlling the Structural Dynamics of Complex Technological Objects (Nauka, Moscow, 2006) [in Russian].

    Google Scholar 

  29. I. L. Bukatova, Evolutionary Modeling and Its Applications (Nauka, Moscow, 1979) [in Russian].

    Google Scholar 

  30. A. Dmitrov, Service-Oriented Architecture in State-ofthe-Art Business Models (Nauka, Moscow, 2006) [in Russian].

    Google Scholar 

  31. Information Technologies and Tools for Space–Ground Monitoring of Natural and Technological Objects, Ed. by G. Merkuryev, B. Merkuryeva, B. Sokolov, and V. Zelentsov (Riga Technical Univ., Riga, 2014).

    Google Scholar 

  32. J. M. Van der Knijff, J. Younis, and A. P. J. De Roo, “LISFLOOD: A GIS-based distributed model for river-basin scale water balance and flood simulation,” Int. J. Geogr. Inf. Sci. 24, 189 (2010).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Moscow State University, Moscow, Russia

    A. M. Alabyan & I. N. Krylenko

  2. St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St. Petersburg, Russia

    S. A. Potryasaev, B. V. Sokolov, R. M. Yusupov & V. A. Zelentsov

  3. The National Simulation Society Noncommercial Partnership, St. Petersburg, Russia

    R. M. Yusupov

Authors
  1. A. M. Alabyan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. I. N. Krylenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. A. Potryasaev
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. B. V. Sokolov
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. R. M. Yusupov
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. V. A. Zelentsov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to R. M. Yusupov.

Additional information

Original Russian Text © A.M. Alabyan, I.N. Krylenko, S.A. Potryasaev, B.V. Sokolov, R.M. Yusupov, V.A. Zelentsov, 2016, published in Vestnik Rossiiskoi Akademii Nauk, 2016, Vol. 86, No. 2, pp. 127–137.

Andrei Mikhailovich Alabyan, Cand. Sci. (Geogr.), is an associate professor in the Land Hydrology Department at the Geography Faculty of Moscow State University. Inna Nikolaevna Krylenko, Cand. Sci. (Geogr.), is a senior research fellow in the Land Hydrology Department at the Geography Faculty of Moscow State University. Semen Alekseevich Potryasaev, Cand. Sci. (Eng.), is a senior research fellow of SPIIRAS. Boris Vladimirovich Sokolov, Dr. Sci. (Eng.), is a professor and deputy director for science of SPIIRAS. RAS Corresponding Member Rafael’ Midkhatovich Yusupov is SPIIRAS director and president of the National Simulation Society Noncommercial Partnership (NSS NP). Vyacheslav Alekseevich Zelentsov, Dr. Sci. (Eng.), is a professor and chief research fellow at St. Petersburg Institute for Information and Automation of the Russian Academy of Sciences (SPIIRAS).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alabyan, A.M., Krylenko, I.N., Potryasaev, S.A. et al. Development of intelligent information systems for operational river-flood forecasting. Her. Russ. Acad. Sci. 86, 24–33 (2016). https://doi.org/10.1134/S1019331616010056

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1019331616010056

Keywords

Search

Navigation