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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
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Acceptance Rate:
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3.4
2023
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
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2024-10-16
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2017
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Volume 12, No. 6, June 2017
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A Web-Based Modelling and Monitoring System Based on Coupling Environmental Models and Hydrological-Related Data
Michal Podhoranyi, Patrik Veteska, Daniela Szturcova, Lukas Vojacek, and Antoni Portero
IT4Innovations – VSB TU, 17.listopadu 15, Ostrava 70833, Czech Republic
Abstract—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.
Index Terms—Modelling system; architecture; HPC; floods; dynamic data.
Cite: Michal Podhoranyi, Patrik Veteska, Daniela Szturcova, Lukas Vojacek, and Antoni Portero,"A Web-Based Modelling and Monitoring System Based on Coupling Environmental Models and Hydrological-Related Data," Journal of Communications, vol. 12, no. 6, pp. 340-346, 2017. Doi: 10.12720/jcm.12.6.340-346.
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