National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Creating a Hydrological Model to Determine Maximum Runoff from a Small Catchments
Hakl, Petr ; Pospíšilík, Šimon (referee) ; Menšík, Pavel (advisor)
The aim of the thesis is to set a hydrology model based on existed methodology DesQ-MaxQ, which comes from "Designing flows from a very small catchments" established in 1989. The model is able to set a nearest meteorology station and his 24-hours rainfall depths for periods of repetition 2,5,10,20,50 and 100 years. Substitute rainfall depths are set by "reduction of 24-hours rainfall depths" methodology. According to hydraulic and hydrology conditions of catchment, duration of the critical rains for each period of repetition are set also peak flow rates and total runoffs from the catchment. Application can work in two modes - "one slope" and "two slopes". The second option also includes calculation of design duration for the model catchment and superposition of hydrograph. Application RainRunoff was develop in C# programming language with graphic user interface and option to exports hydrographs.
Simulating flows in a measure profile using artificial intelligence methods
Pavelková, Růžena ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
The thesis examines the possibility of using artificial intelligence methods for simulating average daily flows in selected measure profiles. In the theoretical part the main factors of the rainfall-runoff process and the methods used in the practical part are described. The practical part of the thesis deals with the construction of two models. The first model predicts the flow for episodes emanating only from rain events, the second model additionally considers snow cover. Artificial intelligence methods, specifically neural networks, are used to build the model, which are created in the MATLAB working environment. The selected criteria were used to evaluate the outputs of the models. Finally, the limits of applicability of the developed models containing neural networks were determined. In general, acceptable results were achieved.
Creating a Hydrological Model to Determine Maximum Runoff from a Small Catchments
Hakl, Petr ; Pospíšilík, Šimon (referee) ; Menšík, Pavel (advisor)
The aim of the thesis is to set a hydrology model based on existed methodology DesQ-MaxQ, which comes from "Designing flows from a very small catchments" established in 1989. The model is able to set a nearest meteorology station and his 24-hours rainfall depths for periods of repetition 2,5,10,20,50 and 100 years. Substitute rainfall depths are set by "reduction of 24-hours rainfall depths" methodology. According to hydraulic and hydrology conditions of catchment, duration of the critical rains for each period of repetition are set also peak flow rates and total runoffs from the catchment. Application can work in two modes - "one slope" and "two slopes". The second option also includes calculation of design duration for the model catchment and superposition of hydrograph. Application RainRunoff was develop in C# programming language with graphic user interface and option to exports hydrographs.

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