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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27740/18:10236927

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture notes in geoinformation and cartography. Volume 1

ISBN

978-3-319-61296-6

ISSN

1863-2246

e-ISSN

1863-2351

Počet stran výsledku

14

Strana od-do

409-422

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Ostrava

Datum konání akce

22. 3. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000457178200030