Analysis and prediction of flood hazards in urban planning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F09%3A00011230" target="_blank" >RIV/61989592:15310/09:00011230 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis and prediction of flood hazards in urban planning
Original language description
The number of extreme hydrological events has rapidly increased in the last hundred years. Increasing runoff from the landscape has been caused by a decrease in flood storage capabilities because the diversity of the landscape has descended. The prediction of flood hazards is a part of the planning analytical materials compiled in Czech urban planning and a part of the project of landscape modifications in the watersheds. GIS technology is one of the tools well designed for global assessment and analysis of landscapes and for the simulation of the effects of calculated flood control measures. The formulated LOREP model represents an application for the identification and localisation of areas with low flood storage capability. The procedure of computation of territorial specific surface runoff is based on a combination of specific functions in LOREP as fuzzy sets, hydrological equations of the runoff curve number method and spatially distributed unit hydrographs.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
DE - Earth magnetism, geodesy, geography
OECD FORD branch
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Result continuities
Project
<a href="/en/project/SP%2F2D3%2F54%2F07" target="_blank" >SP/2D3/54/07: Synthesis of data on the state of grassland biodiversity in the White Carpathians Protected Landscape Area aimed at biodiversity preservation of this ecosystem</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Cartography and Geoinformatics for Early Warning and Emergency Management: Towards Better Solutions
ISBN
978-80-210-4796-9
ISSN
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e-ISSN
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Number of pages
700
Pages from-to
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Publisher name
Masarykova univerzita
Place of publication
Brno
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
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