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Floreon : a web-based platform for flood prediction, hydrologic modelling and dynamic data analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F18%3A10236927" target="_blank" >RIV/61989100:27350/18:10236927 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/18:10236927

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-319-61297-3_30" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-61297-3_30</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Floreon : a web-based platform for flood prediction, hydrologic modelling and dynamic data analysis

  • Original language description

    The main goal of this article is to describe the overview of Floreon(+) system, an online flood monitoring and prediction system, which was primarily developed for the Moravian-Silesian region in the Czech Republic. Moreover, the article specifies the basic processes, which are implemented for running automatic and on-demand simulations that utilize the High Performance Computing (HPC) infrastructure. The main purpose of hydrodynamic models in the disaster management context is to provide an accurate overview of hydrologic situation in a given river catchment. In the event of extreme weather conditions, such as unusually heavy rainfall, these models could provide valuable information about imminent flood risk endangering a particular area. In the disaster management context, time plays a very significant role. Up to date and accurate results obtained in a short time can be very helpful. The availability of such results can be significantly improved by utilization of HPC resources and tools. The article describes the individual parts of the system in terms of data types, dynamic data processing, visualization, and the overall architecture.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture notes in geoinformation and cartography. Volume 1

  • ISBN

    978-3-319-61296-6

  • ISSN

    1863-2246

  • e-ISSN

    1863-2351

  • Number of pages

    14

  • Pages from-to

    409-422

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Ostrava

  • Event date

    Mar 22, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000457178200030