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- ItemThe influence of different technologies of soil processing on infiltration properties of soil in the cambisols area of the Opava district(Mendel University in Brno, 2016-10-30) Dumbrovský, Miroslav; Larišová, LucieThe subject of the contribution is the evaluation of the influence of the conventional tillage and reduced tillage technology of soil processing on the infiltration properties of the soil in the Větřkovice area. Field experimental work at the area was carried out in the years 2013-2015 on Cambisol district medium-heavy clayey soil. The research was conducted on sloping erosion-endangered blocks of arable land sown with spring barley. The areas were chosen each year in the way that one of the experimental areas was handled by conventional tillage technologies and the other by reduced tillage technologies. Intact soil samples were taken into Kopecký's cylinders in the three landscape positions, at a depth of 10 cm (representing topsoil) and 30 cm (representing subsoil). The cumulative infiltration was measured using a mini-disc infiltrometer near the consumption points. The Zhang method (1997), which provides an estimate of the unsaturated hydraulic conductivity K(h), was used for the evaluation of the infiltration tests of the mini-disc infiltrometer. The soil profile processed by conventional tillage showed a higher degree of compaction. The bulk density was between 1.10-1.67 g.cm-3, compared to the land processed by the reduced tillage technology, where the values were between 0.80-1.29 g.cm-3. Unsaturated hydraulic conductivity values were about one-third higher within the reduced tillage technology soil processing.
- ItemFuzzy Model Used for the Prediction of a State of Emergency for a River Basin in the Case of a Flash Flood - PART 2(VEDA, Slovak Academy of Sciences, 2012-08-30) Janál, Petr; Starý, MilošThis article is a continuation of a previous one named Fuzzy model use for prediction of the state of emergency of river basin in the case of flash flood, where the potential applications of fuzzy logic in the field of flash flood forecasting were described. Flash flood forecasting needs a specific approach because of the character of torrential rainfall. Storms are very difficult to forecast in space and time. The hydrological models designed for flash flood prediction have to be able to work with very uncertain input data. Moreover, the models have to be capable of evaluating the level of danger in as short a time as possible because of the highly dynamic character of the modeled process. The fuzzy model described in the previous article was modified into a form usable in operational hydrology and a simulation of its operational application was run using this model. The selected time period for the simulation was the summer of 2009, when numerous flash floods occurred in Czech Republic. The topic of this article is the preparation of the model for practical use and the results of the simulation of its operation.
- ItemAdaptive stochastic management of the storage function for a large open reservoir using an artificial intelligence method(Journal of Hydrology and Hydromechanics, 2019-12-15) Kozel, Tomáš; Starý, MilošThe design and evaluation of algorithms for adaptive stochastic control of reservoir function of the water reservoir using artificial intelligence methods (learning fuzzy model and neural networks) are described in this article. This procedure was tested on an artificial reservoir. Reservoir parameters have been designed to cause critical disturbances during the control process, and therefore the influences of control algorithms can be demonstrated in the course of controlled outflow of water from the reservoir. The results of the stochastic adaptive models were compared. Further, stochastic model results were compared with a resultant course of management obtained using the method of classical optimisation (differential evolution), which used stochastic forecast data from real series (100% forecast). Finally, the results of the dispatcher graph and adaptive stochastic control were compared. Achieved results of adaptive stochastic management provide inspiration for continuing research in the field.
- ItemAdaptive stochastic management of the storage function for a large, open reservoir using learned fuzzy models(Sciendo, 2022-06-01) Kozel, Tomáš; Starý, MilošThe design and evaluation of algorithms for adaptive stochastic control of the reservoir function of a water reservoir using an artificial intelligence method (learned fuzzy model) are described in this article. This procedure was tested on the Vranov reservoir (Czech Republic). Stochastic model results were compared with the results of deterministic management obtained using the method of classical optimisation (differential evolution). The models used for controlling of reservoir outflow used single quantile from flow duration curve values or combinations of quantile values from flow duration curve for determination of controlled outflow. Both methods were also tested on forecast data from real series (100% forecast). Finally, the results of the dispatcher graph, adaptive deterministic control and adaptive stochastic control were compared. Achieved results of adaptive stochastic management were better than results provided by dispatcher graph and provide inspiration for continuing research in the field
- ItemFuzzy model use for prediction of the state of emergency of river basin in the case of flash flood(Slovak Academcy of Sciences, 2009-08-07) Janál, Petr; Starý, MilošArtificial intelligence methods (fuzzy logic, neural networks,genetic algorithm) use for operative prediction of the state of emergency of river basin in the case of flash flood.