|
|
Uncertainty of Measurement Estimation of Mean Monthly Flows Values of the Selected Hydrometric Station at the Svitava River Catchment Area
Paseka, Stanislav ; Janál,, Petr (referee) ; Marton, Daniel (advisor)
Currently, a sizes of the time series elements of average monthly flows uncertainty are not taken into account in more detail and it does not know the estimation of their sizes. The above mentioned fact could ultimately affected the design and operation of large open water reservoirs. This bachelor's thesis deals with the uncertainty of measurement estimation of the mean monthly flows which have derived in the measuring profile Prostřední Poříčí in the Křetínka river in the Svitava river basin. Evaluation is done using a measured values of water level stages and a stage-discharge relation curve. The basis for design of uncertainty affected stage-discharge curves and water lavel stages the Monte Carl method is used. The outcome values of random flows are further evaluated using the statistical methods in the form of the statistical characteristics and presented as uncertainties of mean monthly flows.
|
|
| |
|
|
Climatological analysis of the Thaya river basin
Macík, Ondřej ; Kněžínková, Barbora (referee) ; Marton, Daniel (advisor)
The current climate changes and the persistent drought raise questions about the future development of temperatures and precipitation in the Czech Republic. One of the most affected area is south Moravia and the basin of River Dyje located there. The iam of this bachelor's thesis is to predict the future development of climate in the basin of River Dyje, using emission scenarios, a global climate model and an artifical time series Baseline by using a stochastic generator LARS-WG and subsequent analysis of the results. The obtained results will be suitably compared with each other and adjusted to the form for their future use.
|
|
|
Uncertainty Analysis of Hydrological and Operating Parameters on Water Management Analysis of Reservoir Storage Capacity
Paseka, Stanislav ; Menšík, Pavel (referee) ; Marton, Daniel (advisor)
The aim of the thesis is to introduce the concept of Monte Carlo method for incorporating the uncertainties into the all hydrological and operational data inputs, which are needed to design and operation of large open water reservoir. Incorporating uncertainties into data inputs during calculation of reservoir storage capacity, then the consequent active conservation storage capacity is loaded by uncertainties. In the same way the values of outflow water from reservoir and hydrological reliability are affected by these uncertainties as well. For these kind of calculations the reservoir simulation model has been used, which simulate behavior operation of reservoir and is able to evaluate the results of simulations and help to reduction risk of storage capacity failure, respectively reduction of water shortages during reservoirs operation during low water and dry periods.
|
|
|
Evaluation of Flood Waves in the Upper Part of Jihlava River Basin
Kozel, Tomáš ; Marton, Daniel (referee) ; Starý, Miloš (advisor)
This thesis is about construction of forecasting models for prediction of flood flows of systems measuring profile Batelov – Dvorce, Dvorce – Ptáčov and Batelov – Ptáčov on the river Jihlava. For forecasting flood flows were used classic hydrological forecasting models. Another forecasting models contained neural networks. Data for construction of forecasting models were used for years 1960 – 2010. Evaluation was made in the end of thesis. The thesis also containes theoretical line of flood flows volume.
|
|
| |
|
| |
|
|
Uncertainty estimation of reservoir storage capacity in first stage of design preparation
Oulehla, Pavel ; Paseka, Stanislav (referee) ; Marton, Daniel (advisor)
The aim of the bachelor thesis is the estimation of reservoir storage capacity uncertainty. The input uncertainty is defined by the inaccuracy of the altitude geographic data. Using the appropriate altitude measuring and the estimated errors of the measurement, the change in the area – volumes curves is described as weel as its value of uncertainty. Afterwords the storage capacity loaded by batymetric curves uncertainty is calculated. Furthermore the uncertainty of the reservoir filling height has been quantified. For these kind of calculations the reservoir simulation model has been used, Monte Carlo method, to generate random values of the batygraphic curve has been used too. Expression of uncertainties when calculating the storage capacity can help to reduction risk of storage capacity failure, respectively reduction of water shortages during reservoirs operations during critical dry periods.
|
|
|
Relation Between River Flows and Suspended Sediments in the Selected Hydrometric Profile of the Thaya River Basin
Bobková, Dominika ; Menšík, Pavel (referee) ; Marton, Daniel (advisor)
The issue of the sediments of their transport and subsequent storage in water basins is an important topic which is perceived very seriously by the water management expert public. Therefore, work in this area is very desirable. The aim of bachelor‘s work is to find and estimate possible dependencies between average daily discharge and average daily values of non dissolved substances carried in suspension. The dependencies will serve as a partial basis for addressing the ATCZ28 SEDECO Sediments project, ecosystem services and interrelation with floods and droughts in the AT-CZ Border region. The data are analysed in different periods of time. The result of the analysis is the trend line regulations and the degree of dependence between flows and concentrations, which is expressed by means of a coefficient of determination. The practical application is performed on data measured in the Trávní Dvůr profile on the Dyje river for the years 1996 and 1997.
|
|
|
Application of the prediction model on the control of selected reservoir system
Michalová, Lucie ; Marton, Daniel (referee) ; Menšík, Pavel (advisor)
The diploma thesis is focused on verifying the success of prediction models mean monthly flows for strategy control storage function of water management system. The success of prediction models is tested during three different periods. To determine the predicted inflows into the reservoirs is applied to the generator artificial flow series LTMA using the Monte Carlo method and the classical model of neuron networks. During the solution is applying the principles of adaptive control. The adaptive control is compared with simple control for improved outflow.
|
guest ::
RSS feed.