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Využití vybraných metod umělé inteligence pro nalezení malých povodí nejvíce ohrožených povodněmi z přívalových dešťů / Use of selected artificial intelligence methods for finding small watersheds most at risk of flash floods

In our region, heavy rains may occur virtually everywhere. Nowadays there are instruments to predict these events in sufficient advance, but without precise localisation, which is a problem. Present instruments for searching endangered watersheds are focused on operative evaluation of meteorological situation and actual precipitation forecast processing (nowcasting). The thesis brings quite different approach. Potentially endangered areas are detected with evaluation of long-term statistical variables (N-year discharges and rain characteristics) and properties of specific watershed. The whole issue is handled out of situation of actual danger, this attitude is so called off-line solution. The thesis describes a model based on selected artificial intelligence methods. The model forms the core of final map application. The use of model and final application is supposed to be used in area of preventive flood protection, and related investment decision-making. The model focuses on heavy rains and flash floods.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:355647
Date January 2016
CreatorsJežík, Pavel
ContributorsFošumpaur, Pavel, Hlavčová,, Kamila, Starý, Miloš
PublisherVysoké učení technické v Brně. Fakulta stavební
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/doctoralThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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