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Mathematical Simulation of Flood Management by Hydro Systems with Temporarily Flooded Reservoirs

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International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017 (EMMFT 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 692))

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Abstract

The mathematical model for calculating the parameters of a hydro system to control flood waterflows is proposed. This model is implemented in the mathematical software Octave and allows to specify the parameters of several types of anti-flood hydro systems, considering the design of the hydro system and data from the GIS systems, and can be used to calculate the maximum flow rates for specific rivers, as well as for joint management of floods in the river basin with the river water reservoirs of the hydroelectric power station.

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Acknowledgment

The research was supported by Russian Science Foundation (grant â„–16-17-00050).

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, Polytechnicheskaya str., 29, 195251, St. Petersburg, Russia

    Roman Davydov, Valery Antonov & Dmitry Molodtsov

  2. Moscow State University of Civil Engineering, Yaroslavskoe shosse, 26, Moscow, 129337, Russia

    Anatoliy Trebukhin

Authors
  1. Roman Davydov
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  2. Valery Antonov
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  3. Dmitry Molodtsov
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  4. Anatoliy Trebukhin
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Corresponding author

Correspondence to Anatoliy Trebukhin .

Editor information

Editors and Affiliations

  1. Moscow State University of Civil Engineering, Moscow, Russia

    Vera Murgul

  2. Department of Roads, Airports and Railways, Faculty of Civil Engineering, University of Belgrade, Belgrade, Serbia

    Zdenka Popovic

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Davydov, R., Antonov, V., Molodtsov, D., Trebukhin, A. (2018). Mathematical Simulation of Flood Management by Hydro Systems with Temporarily Flooded Reservoirs. In: Murgul, V., Popovic, Z. (eds) International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017. EMMFT 2017. Advances in Intelligent Systems and Computing, vol 692. Springer, Cham. https://doi.org/10.1007/978-3-319-70987-1_99

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  • DOI: https://doi.org/10.1007/978-3-319-70987-1_99

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70986-4

  • Online ISBN: 978-3-319-70987-1

  • eBook Packages: EngineeringEngineering (R0)

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