St. Petersburg Flood Prevention System

Storm surge is a common hazard for many coastal cities worldwide. Since Saint Petersburg, since it was founded in 1703, it has suffered from more than 300 hundreds of floods (i.e. when the water level in the estuary of the Neva River has exceeded 160 cm). Floods in Saint Petersburg are caused by deep cyclones that cross the Baltic Sea along its center line from southwest to northeast. When a cyclone moves across the sea, they it raises the water level by its low-pressure center and initiates the propagation of a long progressive wave. The height of the wave increases as it travels through the shallow and narrow water area of the Gulf of Finland.

We can simulate and forecast water level fluctuations in the eastern part of the Gulf of Finland using a complex of numerical hydrodynamic and probabilistic models. Simulation results of these models are also used in the St. Petersburg Barrier (introduced into service in 2011) Authority (introduced into service in 2011) for floodgate operation scheduling. To account for all major factors that influence the phenomena, the complex includes atmospheric, wind wave, sea ice, and hydrodynamic models. The objective of our research is to assure the accuracy of the forecasts, developing and introducing various techniques for observation data processing and assimilation, model calibration, ensemble forecasting, etc. Our software was implemented in the St. Petersburg Flood Prevention System for 24x7 running. St. Petersburg Flood Prevention System was designed by BCC company for Barrier Authority.

The following video shows the genesis, development and the following prevention of surge flood hazard that hit Saint Petersburg in January 2015.

Publications

  • Ivanov S.V., Kosukhin S.S., Kaluzhnaya A.V., Boukhanovsky A.V.

    Simulation-based collaborative decision support for surge floods prevention in St. Petersburg // Journal of Computational Science. — 2012. — Vol. 3., Issue 6. — pp. 450-455.

  • Belleman R.G., Krzhizhanovskaya V.V., Shirshov G.S., Melnikova N.B., Rusadi F.I., Broekhuijsen B.J., Gouldby B.P., Lhomme J., Balis B., Bubak M., Pyayt A.L., Mokhov I.I., Ozhigin A.V., Lang B., Meijer R.J.

    Flood early warning system: design, implementation and computational modules // Procedia Computer Science. — 2011. — Vol. 4., Issue 2011. — pp. 106-115.

  • Kosukhin S.S., Kalyuzhnaya A.V., Nasonov D.

    Problem solving environment for development and maintenance of St. Petersburg's Flood Warning System // Procedia Computer Science. — 2014. — Vol. 29. — pp. 1667-1676.

  • Krzhizhanovskaya V.V., Melnikova N.B., Chirkin A.M., Ivanov S.V., Boukhanovsky A.V., Sloot P.M.A.

    Distributed simulation of city inundation by coupled surface and subsurface porous flow for urban flood decision support system // Procedia Computer Science. — 2013. — Vol. 18. — pp. 1046-1056.

  • Pyayt A.L., Kozionov A.P., Kusherbaeva V.T., Mokhov I.I., Krzhizhanovskaya V.V., Broekhuijsen B.J., Meijer R. J., Sloot P.M.A.

    Signal analysis and anomaly detection for flood early warning systems // Journal of Hydroinformatics. — 2014. — Vol. 16. — pp. 1025-1043.

  • Kalyuzhnaya A., Nasonov D., Boukhanovsky A.

    Ensemble risk assessment for flood warning in Saint-Petersburg // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. — 2014. — Vol. 1. — pp. 247-256.

  • Kalyuzhnaya Anna V., Visheratin Alexander A., Dudko Alexey, Nasonov Denis, Boukhanovsky Alexander V.

    Synthetic storms reconstruction for coastal floods risks assessment // Journal of Computational Science. — 2015. — Vol. 9. — pp. 112-117.

  • Kosukhin S.S., Kovalchuk S.V., Boukhanovsky A.V.

    Cloud Technology for Forecasting Accuracy Evaluation of Extreme Metocean Events // Procedia Computer Science. — 2015. — Vol. 51., Issue 1. — pp. 2933-2937.

  • Kalyuzhnaya Anna V., Boukhanovsky A.V.

    Computational uncertainty management for coastal flood prevention system // Procedia Computer Science. — 2015. — Vol. 51., Issue 1. — pp. 2317-2326.

  • Pyayt A.L., Shevchenko D.V., Kozionov A.P., Mokhov I.I., Lang B., Krzhizhanovskaya V.V., Sloot P.M.A.

    Combining Data-driven Methods with Finite Element Analysis for Flood Early Warning Systems // Procedia Computer Science. — 2015. — Vol. 51., Issue 1. — pp. 2347-2356.