A web-based modelling and monitoring system based on coupling environmental models and hydrological-related data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F17%3A10236160" target="_blank" >RIV/61989100:27350/17:10236160 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27740/17:10236160
Výsledek na webu
<a href="http://www.jocm.us/index.php?m=content&c=index&a=show&catid=178&id=1117" target="_blank" >http://www.jocm.us/index.php?m=content&c=index&a=show&catid=178&id=1117</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12720/jcm.12.6.340-346" target="_blank" >10.12720/jcm.12.6.340-346</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A web-based modelling and monitoring system based on coupling environmental models and hydrological-related data
Popis výsledku v původním jazyce
The floods recognition on the net (Floreon+) is a system primary developed to provide flood monitoring and simulating capabilities that support flood management process within the Moravian-Silesian (MSK) region in the Czech Republic. The major aim of this paper is to introduce the basic design, structure, components and algorithm of the FLOREON+ system that integrates different types of environmental models and data sources. Part of the article, as a secondary goal, is inducted to the interconnection between the HPC infrastructure and the system. The FLOREON+ system with modular structure design continuously monitors the status of water behaviour within the region. The system improves public information about the past and present flood events by integrating hydrodynamic and rainfall runoff models. Overall, this system improves processing of disaster-related datasets as well as improves an ability of flood modelling and predictions and therefore it brings additional value for decision support in disaster management within the MSK region. © 2017 Journal of Communications.
Název v anglickém jazyce
A web-based modelling and monitoring system based on coupling environmental models and hydrological-related data
Popis výsledku anglicky
The floods recognition on the net (Floreon+) is a system primary developed to provide flood monitoring and simulating capabilities that support flood management process within the Moravian-Silesian (MSK) region in the Czech Republic. The major aim of this paper is to introduce the basic design, structure, components and algorithm of the FLOREON+ system that integrates different types of environmental models and data sources. Part of the article, as a secondary goal, is inducted to the interconnection between the HPC infrastructure and the system. The FLOREON+ system with modular structure design continuously monitors the status of water behaviour within the region. The system improves public information about the past and present flood events by integrating hydrodynamic and rainfall runoff models. Overall, this system improves processing of disaster-related datasets as well as improves an ability of flood modelling and predictions and therefore it brings additional value for decision support in disaster management within the MSK region. © 2017 Journal of Communications.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
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)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Communications
ISSN
2374-4367
e-ISSN
—
Svazek periodika
12
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
7
Strana od-do
340-346
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85021366879