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Carbon dynamics in the chernozem region after half a century of intensive cultivation
Juřicová, Anna ; Chuman, Tomáš (advisor) ; Dostál, Tomáš (referee) ; Maerker, Michael (referee)
Soils are vital for global food security and recently they have also received attention as a tool potentially mitigating climate change due to their ability to store large amounts of carbon (C) and provide other vital non-productive functions. However, several forms of degradation threat these functions. In agricultural soils, the decline of soil organic carbon (SOC) and soil erosion are two of the degradation processes. Soil erosion laterally redistributes large amounts of SOC in hilly agricultural landscapes. Lateral fluxes further impact the SOC storage in soils and indirectly modulate the vertical C fluxes between the terrestrial sphere and the atmosphere. The aim of this thesis is to investigate the long-term (> 50 years) regional SOC changes and analyze the impacts of soil redistribution in C dynamics in a hilly agricultural landscape. We consider soil redistribution via water and tillage as the main erosion agents. The study uses a comparison of recently resampled and legacy data from historical monitoring (the 1960s) together with coupled erosion and C dynamics modelling using the SPEROC-C model. The study is conducted in the chernozem region, south Moravia, the Czech Republic. Our results showed that the change in SOC content tends to be positive after more than 50 years. Moreover,...
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Use of current and historical geospatial data for 3d modeling of hradec králové in different time periods
Šrollerů, Alex ; Laštovička, Josef (advisor) ; Štych, Přemysl (referee)
Use of current and historical geospatial data for 3D modeling of Hradec Králové in different time periods Abstract This bachelor's thesis is mainly focused on historical and current geospatial data and the basics of three-dimensional city modeling. It provides an overview on basic methods, data and software suitable for 3D city modeling in different time periods and possibilities of 3D visualization. The practical part describes the process of creating a 3D model in different time periods, namely the cadastral area of Hradec Králové in the years 1840, 1912, 1952 and present. The model consists of terrain interpolated from ZABAGED contour lines and buildings extruded from vector footprints. Subsequent manual modeling took place in SketchUp CAD software. Historical large-scale maps, contemporary orthophoto and OSM are used for this task. The model is visualized using flyby animations, view scenes, interactive browser and presented on a self-created web page and StoryMap JS. Keywords: 3D model, SketchUp, buildings, DTM, historical data.
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Water quality in Prague streams
Krejčová, Lucie ; Benešová, Libuše (advisor) ; Tonika, Jaroslav (referee)
This work deals with water quality in five Prague's biggest streams, which are Rokytka, Botič, Litovicko-Šárecký stream, Dalejský stream and Kunratický stream. Water quality can be evaluated on the basis of physico-chemical indicators or biological indicators. In my work I use only physico-chemical indicators to evaluate water quality. In this work I focused mainly on water quality in Kunratický stream which is based on the results of regular monitoring of Lesy hl. m. Praha and also on the basis of my short-term analysis of water from the stream. The main sources of pollution of Kunraticky stream and other streams in Prague are agriculture in the upstream area (source of nitrogen and phosphorus compounds), wastewater (source of organic matter, nitrogen and phosphorus compounds) and rainwater (source of heavy metals and chlorides). It is evident from the results that these resources have an impact on water quality in streams of Prague. Among the worst indicators of water quality in the Kunratický stream there is mainly aggregate phosphorus, COD and BOD5 and it is similar in other Prague's streams. Prague streams are significantly burdened with heavy metals.
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Construction of automated trading strategies based on market statistics.
Šuffner, Otakar ; Brůna, Karel (advisor) ; Skoupil, Lubomír (referee)
This diploma thesis deals with the construction of automated trading strategies, which are built on the basis of market statistics. In the first part are shortly introduced the basic parameters of the E-mini S&P 500. In this chapter is also a detailed description of the process of creating a market statistics. In the second part is described a process of building a number of automated trading strategies. Optimization of these strategies is conducted on historical data. In the second part of this thesis is also shown a discretionary trading system based on market statistics. In order to demonstrate the robustness of automated trading strategies, they are tested on a sample of data outside of the optimization period. The result of the diploma thesis will be an evaluation of the trades and evaluation of the robustness of automated trading strategies.
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