This study discusses the evolution of the Serbian part of Tisa (Tisza/Theiss) valley in the context of phase meandering process during the Late Pleniglacial and Holocene. This study is focused on the subsiding central part of the Pannonian (Carpathian) Basin in the Vojvodina province. Palaeomeanders are reconstructed by using digital elevation models. Large number of old river beds are eroded and filled with deposits, and only a few remainings of them can be found on modern maps. The identification of these channels were achieved by studying historical maps of the region, and by creation of a digital elevation model. Spatial disposal and altitude correlation allowed identification of several palaeomeander generations in the Tisa valley. The formation of different generations are the result of concurrence influences of neo-tectonic processes of subduction in the western part of the Great Hungarian Plain and climate variability during the Late Pleistocene and Holocene. Studying hydro-geomorphologic characteristics of meanders is based on determination and analysis of their characteristic parameters: wavelength, arc length and radius of curvature
The Carpathian Basin contains some of the best preserved loess deposits in Europe, including some of the continent's longest and best resolved climate records. Large areas of the basin have been intensively investigated in recent years, although deposits in the east remain largely unstudied, despite considerable regional variation in climate records. Here we discuss the sedimentary record exposed in the Orlovat brickyard using detailed litho‐ and pedo‐stratigraphic, enviromagnetic parameters and luminescence dating. The results show an atypical Late Pleistocene succession for the Carpathian Basin. Notably, the normally widespread pedocomplex V‐L1S1 is missing. This contrasts with other parts of the sequence, which appear highly resolved, such as the thicker pedocomplex V‐S1 and the detailed transitions between modern pedocomplexes V‐S0 and the last glacial loess unit V‐L1. The luminescence chronology demonstrates a lack of intensive pedogenesis during the Early Holocene and raises an important general question about the beginning of Holocene soil formation in the region. The later Holocene soil formation adds to a growing body of evidence that suggests more complex terrestrial responses of climate to global climate change. This evidence weakens the validity of previously generalized direct stratigraphic correlations between regional terrestrial environmental archives, and global marine and ice core records.
External impact on the development of fluvial systems is generally exerted by changes in sea level, climate and tectonic movements. In this study, it is shown that a regional to local differentiation of fluvial response may be caused by semi-direct effects of climate change and tectonic movement; for example, vegetation cover, frozen soil, snow cover and longitudinal gradient. Such semi-direct effects may be responsible for specific fluvial activity resulting in specific drainage patterns, sedimentation series and erosion–accumulation rates. These conclusions are exemplified by the study of the fluvial archives of the Tis(z)a catchment in the Pannonian Basin in Hungary and Serbia from the middle of the last glacial to the Pleistocene–Holocene transition. Previous investigations in that catchment are supplemented here by new geomorphological–sedimentological data and OSL-dating. Specific characteristics of this catchment in comparison with other regions are the preponderance of meandering systems during the last glacial and the presence of very large meanders in given time intervals.
In this paper the bioethanol production in batch culture by free Saccharomyces cerevisiae cells from thick juice as intermediate product of sugar beet processing was examined. The obtained results suggest that it is possible to decrease fermentation time for the cultivation medium based on thick juice with starting sugar content of 5-15 g kg-1. For the fermentation of cultivation medium based on thick juice with starting sugar content of 20 and 25 g kg-1 significant increase in ethanol content was attained during the whole fermentation process, resulting in 12.51 and 10.95 dm3 m-3 ethanol contents after 48 h, respectively. Other goals of this work were to investigate the possibilities for experimental results prediction using artificial neural networks (ANNs) and to find its optimal topology. A feed-forward back-propagation artificial neural network was used to test the hypothesis. As input variables fermentation time and starting sugar content were used. Neural networks had one output value, ethanol content, yeast cell number or sugar content. There was one hidden layer and the optimal number of neurons was found to be nine for all selected network outputs. In this study transfer function was tansig and the selected learning rule was Levenberg-Marquardt. Results suggest that artificial neural networks are good prediction tool for selected network outputs. It was found that experimental results are in very good agreement with computed ones. The coefficient of determination (the R-squared) was found to be 0.9997, 0.9997 and 0.9999 for ethanol content, yeast cell number and sugar content, respectively
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