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Use of selected artificial intelligence methods for finding small watersheds most at risk of flash floods
Ježík, Pavel ; Fošumpaur, Pavel (referee) ; Hlavčová,, Kamila (referee) ; Starý, Miloš (advisor)
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.
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Use of selected artificial intelligence methods for finding small watersheds most at risk of flash floods
Ježík, Pavel ; Fošumpaur, Pavel (referee) ; Hlavčová,, Kamila (referee) ; Starý, Miloš (advisor)
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.
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Analysis of stability conditions during heavy rains in the Czech republic
Marek, Lukáš ; Kašpar, Marek (advisor) ; Zacharov, Petr (referee)
In this thesis I describe the conceptual model of three kinds of instability in terms of precipitation. I describe ways of evaluating their presence in the atmosphere. They are: conditional instability, potential instability and symmetric instability. I have selected three events with strong precipitation in the Czech Republic so that the formation of each of them is with high probability involved in just one of the three kinds of instability. Events are first described using distance and station measurements. Through the NWP model COSMO are created prognostic fields of precipitation and several derived thermodynamic quantities for each event. On the horizontal (for the whole country) and vertical (for selected areas of the Czech Republic) distribution of these variables are demonstrated favourable conditions for the occurrence of the types of instability in the atmosphere. In the event of conditional instability the rainfall occurs in areas with high CAPE and negative or very small positive vertical lapse rate of potential temperature. The event with the potential instability is characterized by the occurrence of negative vertical lapse rate of equivalent potential temperature in the broad layers. The occurrence of symmetric instability suggests a number of indicators. The necessary occurence...
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