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Forecasting of flash floods by Algorithm of Storm Prediction

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dc.title Forecasting of flash floods by Algorithm of Storm Prediction en
dc.contributor.author Šaur, David
dc.contributor.author Víchová, Kateřina
dc.relation.ispartof MATEC Web of Conferences
dc.identifier.issn 2261-236X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 210
dc.event.title 22nd International Conference on Circuits, Systems, Communications and Computers, CSCC 2018
dc.event.location Majorca
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2018-07-14
dc.event.edate 2018-07-17
dc.type conferenceObject
dc.language.iso en
dc.publisher EDP Sciences
dc.identifier.doi 10.1051/matecconf/201821004033
dc.relation.uri https://www.matec-conferences.org/articles/matecconf/abs/2018/69/matecconf_cscc2018_04033/matecconf_cscc2018_04033.html
dc.description.abstract This article focuses on the forecasting of flash floods using the Algorithm of Storm Prediction as a new tool to predict convective precipitation, severe phenomena and the risk of flash floods. The first part of the article contains information on methods for predicting dangerous severe phenomena. This algorithm uses mainly data from numerical weather prediction models (NWP models), database of historic weather events and relief characteristics describing the influence of orography on the initiation of atmospheric convection. The result section includes verification of predicted algorithm outputs, selected NWP models and warnings of CHMI and ESTOFEX on three events related to the floods that hit the Zlín Region between years of 2015-2017. The main result is a report with prediction outputs of the algorithm visualized in maps for the territory of municipalities with extended competence and their regions. The outputs of the algorithm will be used primarily to increase the effectiveness of preventive measures against flash floods not only by the Fire Rescue Service of Czech Republic but also by the flood and crisis management authorities. © 2018 The Authors, published by EDP Sciences. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008321
utb.identifier.obdid 43878861
utb.identifier.obdid 43878862
utb.identifier.scopus 2-s2.0-85055527394
utb.identifier.wok 000567668400110
utb.source d-scopus
dc.date.accessioned 2019-01-03T12:31:45Z
dc.date.available 2019-01-03T12:31:45Z
dc.description.sponsorship A2.4 - ICT [LO1303]
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Šaur, David
utb.contributor.internalauthor Víchová, Kateřina
utb.wos.affiliation [Saur, David; Vichova, Katerina] Tomas Bata Univ Zlin, Fac Appl Informat, Nad Stranemi 4511, Zlin, Czech Republic
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stráněmi 4511, Zlin, Czech Republic; Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stráněmi 4511, Zlin, Czech Republic
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