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Water Balance Hydrological Models Method Comparison
Štolfa, Filip ; Bednář, Martin (referee) ; Marton, Daniel (advisor)
In this work, two types of lumped balance precipitation-runoff models were compiled, from which the model taken from the Sicilian regional climate model was subsequently modified and these modifications were compared with other models. The practical application was carried out in the Svratka river basin above the Vír reservoir ending in the final profile of Dalečín. The input data from this river basin were precipitation totals, average temperatures and flows in the final profile, from which the calculation was subsequently performed in a monthly step. The individual models were compiled in two variants differing in the length of the time series and the number of regression coefficients. All assembled models were subsequently calibrated using four calibration criteria, for which the effectiveness was verified during validation by one common criterion. At the end of the work, individual models and calibration criteria are compared.
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General Runoff Water Balance Model of a River Basin
Černý, Vojtěch ; Knoppová, Kateřina (referee) ; Marton, Daniel (advisor)
Modelling of the rainfall-runoff process is one of the basic scientific skills in hydrology. Rainfall-runoff modelling can help to improve water management, handling of the reservoir's storage volume, or also to facilitate adaptation to current climatic conditions. The aim of the diploma thesis is to create a functional rainfall-runoff model on the basis of water balance equations based on the lumped water balance principle of the hydrological model. Several modifications of the general rainfall-runoff model are approached in the diploma thesis. Four types of the daily evapotranspiration determination are used in the calculations. The rainfall-runoff model is compiled from temperature data and precipitation totals in a daily step. The practical application is carried out on a sub-basin of the river Dyje, which is located above Vranov water reservoir. The main output is a series of daily flow rates that were obtained from calibrated rainfall-runoff models. The best rainfall-runoff model takes into account the water from snow cover melting, the value of the Nash Sutcliffe calibration criterion of this model is 0.608. Finally, the hydrological simulation for the period 2021-2060 is performed in the diploma thesis.
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Estimation of the Sediment Balance in the Selected Hydrometric Profile
Priesner, Radek ; Paseka, Stanislav (referee) ; Marton, Daniel (advisor)
The aim of the bachelor thesis is to evaluate the balance of suspended sediment load, respectively undissolved substances carried in suspension in the selected hydrometric profile. The work also contains methodical instructions for measurement and subsequent evaluation of sediment load, based on the Austrian methodological manual Leitfaden zur Erfassung des Schwebstofftransportes (Habersack et al., 2017). The calculations will be used as a partial basis for the project ATCZ28 SEDECO – Sediments, ecosystem services and interrelation with floods and droughts in the AT-CZ border region. The practical application will be implemented on data measured in hydrometric profile Přibice on the River Jihlava where continuous measurement of suspended sediment load has been taking place since 2019.
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Estimation of Stage Discharge Curves in Hydrometric Profile
Hillebrant, Michael ; Menšík, Pavel (referee) ; Marton, Daniel (advisor)
Bachelor thesis is focused on the stage-discharge curves evaluation on the selected hydrometric stations and on the selected rivers in the Morava River basin, which the Czech Hydrometeorological Institute managing. The goal of this barcelor thesiss is using own calculation and specialized software to construct theoretical stage discharge curve on the basis of real measured Qh points of stage-discharge curve. The resulting theoretical curves then compared as well as create a dataset and compare the regression coefficients and regression equations of theoretical stage-discharge curves. These comparisons performed for the selected profiles in the upper, middle and lower part of river and make an overall assessment of the success of the fit. Profiles at upper part of the Svratka river was Borovnice on the Svratka river Svratka. Rozhrani on the Svitava river. Middle profiles were Brno – Poříčí on the Svratka and the Poříčí on the Křetínka River, which inflows into the Svitava river. Lower profiles were Bílovice Svitavou on the river Svitava river and Želešice on the Bobrava river, which is tributary catchment to the river Svratka. Data is divided into all sections in three modes. Summer season (May to October), winter (November-April). In the third period remained unfiltered data.
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Simulation and optimization model of reservoir system in Svitava river basin
Šejnoha, Michal ; Marton, Daniel (referee) ; Menšík, Pavel (advisor)
The bachelor´s thesis is focused on the construction of a simulation and optimization model selected water management system. Both models are created with program SOMVS. The simulation model is based on the choice improved outflow from reservoir searching of boundaries Assurance classes. The simulation model simulates the flow of water through the system. Not finding the optimal solution using optimization methods. In the optimization model is used optimization method of differential evolution. The optimization model seeks maximized value of the objective function for water withdrawal from selected profile.
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Stochastic Prediction of Mean Monthly Flows in Selected Hydrometric Profile
Jansa, Jakub ; Menšík, Pavel (referee) ; Marton, Daniel (advisor)
The diploma thesis is focused on the average monthly flows forecast in the selected hydrometric profile. Aim of this work will be evaluation of the calculated values and the interpretation of the results in understandable form. The next step will be find an appropriate connection between randomly-generated inputs in the form of random real flow series using the standard hydrological prediction models. This models are based on the principles of artificial intelligence and probability model. The result of the work will be verification of procedures and compilation of mean monthly flow stochastic forecast in selected hydrometric profile, which would be used for a reservoirs management, respectively for water systems management.
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