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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Hydrological Time Series Analysis for Chosen Sub Catchment in Morava River Basin
 Černý, Vojtěch ; Benáčková, Kateřina (referee) ; Marton, Daniel (advisor)
Current climate conditions raise questions about how climate change should affect the hydrological regime of the Czech Republic. The main questions are: I) Is climate change serious and is it already tangible in hydrological series? II) Are there significant changes in the climatic conditions, or in the flow of the river network? III) How does climate change affect hydrological conditions in the catchment? IV) Are there non-stationary tendencies in the hydrological series caused by climate change? The aim of this work was to perform a basic analysis of hydrological time series and estimated its possible changes. The analysis was done with using autocorrelation function, spectral density, moving averages methods, statistical characteristics, empirical line of probability of exceeding and last but not least by decomposing the time series. The practical application was applied on time series of average monthly flows determined in the hydrometric profile of Dalečín in the Svratka river basin.
Detailed record
Hydrological Time Series Analysis for Chosen Sub Catchment in Morava River Basin
 Černý, Vojtěch ; Benáčková, Kateřina (referee) ; Marton, Daniel (advisor)
Current climate conditions raise questions about how climate change should affect the hydrological regime of the Czech Republic. The main questions are: I) Is climate change serious and is it already tangible in hydrological series? II) Are there significant changes in the climatic conditions, or in the flow of the river network? III) How does climate change affect hydrological conditions in the catchment? IV) Are there non-stationary tendencies in the hydrological series caused by climate change? The aim of this work was to perform a basic analysis of hydrological time series and estimated its possible changes. The analysis was done with using autocorrelation function, spectral density, moving averages methods, statistical characteristics, empirical line of probability of exceeding and last but not least by decomposing the time series. The practical application was applied on time series of average monthly flows determined in the hydrometric profile of Dalečín in the Svratka river basin.
Detailed record

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