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    Computational Hydraulics

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    Author(s)
    Popescu, Ioana
    Collection
    Knowledge Unlatched (KU)
    Number
    104616
    Language
    English
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    Abstract
    Computational Hydraulics introduces the concept of modeling and the contribution of numerical methods and numerical analysis to modeling. It provides a concise and comprehensive description of the basic hydraulic principles, and the problems addressed by these principles in the aquatic environment. Flow equations, numerical and analytical solutions are included. The necessary steps for building and applying numerical methods in hydraulics comprise the core of the book and this is followed by a report of different example applications of computational hydraulics: river training effects on flood propagation, water quality modelling of lakes and coastal applications. The theory and exercises included in the book promote learning of concepts within academic environments.  Sample codes are made available online for purchasers of the book. Computational Hydraulics is intended for under-graduate and graduate students, researchers, members of governmental and non-governmental agencies and professionals involved in management of the water related problems. 
    URI
    https://library.oapen.org/handle/20.500.12657/43810
    Keywords
    Technology & Engineering; Environmental; General; Science; Applied Sciences; Science; Environmental Science (see Also Chemistry; Environmental)
    ISBN
    9781780400457
    Publisher
    IWA Publishing
    Publisher website
    https://www.iwapublishing.com/
    Publication date and place
    2014
    Grantor
    • Knowledge Unlatched
    Imprint
    IWA Publishing
    Classification
    Environmental science, engineering and technology
    Industrial applications of scientific research and technological innovation
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • Harvested from KU

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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