National Repository of Grey Literature 5 records found  Search took 0.01 seconds. 
Flood Prediction in Borovnice - Dalečín Measure Profiles
Hiesböcková, Tereza ; Janál, Petr (referee) ; Starý, Miloš (advisor)
Aim of a work is construction of forecasting models for prediction of flood flows of measuring profile Borovnice – Dalečín on the river Svratka. As a tool for issuing predictions will be used classic hydrological forecasting models, and models based on artificial intelligence methods. Predictive model will be consisting from summer flood flows for the years 1997-2007. In the end of the work will chosen a better method for issuing forecasts
Methodology for rapid, comprehensive, independent decision-making on the need, effectiveness and interaction of adaptation measures in river basins under climate change
Fischer, Milan ; Zeman, Evžen ; Vizina, A. ; Hanel, M. ; Bernsteinová, Jana ; Tachecí, P. ; Štěpánek, Petr ; Pavlík, P. ; Máca, P. ; Ghisi, Tomáš ; Rapantová, N. ; Bláhová, Monika ; Janál, P. ; Trnka, Miroslav
The aim of the methodology is to present methods for quantifying the impacts of projected climate change on the water balance when applying adaptation measures in the Czech Republic for the next few decades. Adaptation measures should contribute to the sustainability of the water balance in all major user segments of water use and management in the basin. The main principle is the use of hydrological models to transform climate change scenarios into time series of hydrological conditions and to quantify the overall water balance of the basin using different types of adaptation measures and their implementation over time. Special emphasis is placed on the evaluation of combinations of adaptation measures that cannot be analysed by simplified methods. The methodology is designed to search for the optimal combination of adaptation measures in the assessed catchment. The proposed approach eliminates the shortcomings of effectiveness assessment from the perspective of the exclusive user of the water resource, as the evaluation of the effectiveness of adaptation measures is carried out in the form of a multi-criteria analysis of the evaluation of the outputs of the simulation model for predicting the water balance in the whole basin. This methodology can be used to assess different adaptation measures in all basic segments of water users: agriculture, forestry, energy, water management and others.
Methodology for determining the main disturbances in the water management balance and optimizing adaptation measures in the conditions climate change
Fischer, Milan ; Zeman, Evžen ; Vizina, A. ; Hanel, M. ; Bernsteinová, Jana ; Tachecí, P. ; Štěpánek, Petr ; Pavlík, P. ; Máca, P. ; Ghisi, Tomáš ; Rapantová, N. ; Bláhová, Monika ; Janál, P. ; Trnka, Miroslav
Ongoing climate change is causing a global increase in air temperature. While this is leading to an acceleration of the global hydrological cycle, and therefore a global increase in precipitation, the spatiotemporal variability in precipitation is much more complicated. While temperature in the Czech Republic shows a consistently increasing trend similar to that of surrounding countries and the planet as a whole, precipitation can be simplified that long-term averages of annual totals remain and are likely to remain very similar in the coming decades. Rising air temperatures inherently bring increased evaporative demand of the atmosphere and, for the same precipitation, a lower ratio of precipitation to evaporation, i.e. the climatic water balance shows a negative trend.
Spatial analysis of snow cover using the method of electrical impedance spectrometry
Novák, Michael ; Zeleňáková, Martina (referee) ; Janál, Petr (referee) ; Pařílková, Jana (advisor)
Snow cover is an important climatic, hydrological and biological phenomenon. Especially in the empirical sciences, snow and snow cover monitoring has a long tradition, the importance of which has been reinforced in recent decades by the fact that snow cover (it is controlled by temperature and precipitation) is one of the important indicators of climate change. The dissertation thesis deals with the monitoring of snow cover in the years 2016 to 2019, mainly in the Czech Republic, in the Eagle Mountains. The characteristic properties of the snow cover and their changes, caused by changes in temperature, humidity and air flow rate or by the snow's own weight, are monitored by selected and available classical methods and non-traditional indirect method of electrical impedance spectrometry. The aim of the work was to master the measurement technique by a non-traditional method (design of measuring probes, delimitation of the space between the measuring electrodes, data collection and processing). The method is described in the work, the results of monitoring are published in graphical form and are commented. Another goal was to find a suitable mathematical description of the dependence between the measured electrical quantities and the properties of the snow cover, which can be used to determine the water value of snow and possibly also predict the avalanche danger. The technique of measurement by the indirect method of electrical impedance spectrometry was successfully mastered, including the definition of possible adverse effects affecting the measurement result. It was not possible to obtain a statistically significant set of data on the basis of which it was possible to determine the dependence between individual quantities. Classic manual methods can still be considered the standard for snow diagnostics and snow cover.
Flood Prediction in Borovnice - Dalečín Measure Profiles
Hiesböcková, Tereza ; Janál, Petr (referee) ; Starý, Miloš (advisor)
Aim of a work is construction of forecasting models for prediction of flood flows of measuring profile Borovnice – Dalečín on the river Svratka. As a tool for issuing predictions will be used classic hydrological forecasting models, and models based on artificial intelligence methods. Predictive model will be consisting from summer flood flows for the years 1997-2007. In the end of the work will chosen a better method for issuing forecasts

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