Faculty of Natural Sciences and Mathematics
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Item type:Publication, GIS In the hydromorphology analysis of selected meanders of the Crna reka(University of Sarajevo, Faculty of Science, 2024-12); ; Manevska, Emilija<jats:p>Hydromorphological changes in river systems, particularly in the context of meanders, are crucial for understanding the dynamics of fluvial environments. Meandering is a natural process in lowland areas where rivers form curved, sinusoidal flows driven by the complex interaction of hydraulic forces, sediment transport and bank erosion. These changes alter the physical morphology of rivers, influencing water quality and flood risks. The meandering process of the Crna Reka can be accessed through the processing and analysis of topographic maps and satellite imagery from the Landsat mission (1983–2013) and Sentinel-2 mission (2018–2023). Parameters analyzed include river channel width, the central flow line within a given sector, the sinuosity of the river channel, the radius of curvature of river bends, the length of meandering belts, the width of meandering channels, and riverbed migrations. Between 1964 and 2023, an increase in the sinuosity coefficient, a rise in the number of bends from 10 to 23, changes in the radius of curvature from 271 m to 577 m, and alterations in the length and width of meandering were observed. Significant lateral erosion on the right bank and dominant sedimentation on the left bank were also evident. Understanding these processes is crucial for predicting future river flow changes and mitigating potential environmental impacts.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A novel way to present flood hazards using 3D-printing with transparent layers of return period isolines(Geographical Society of Berlin, 2020-03-02); ; Vozenilek, VitThis paper examines the 3D printed results of a floodplain analysis usually used for hydrological studies to calculate the probabilities in high water stage features. The analysis was performed using probability distributions, including Pearson type III distribution, Log-Pearson type III distribution, Gaussian (normal) distribution, Gumbel distribution, and Log-normal distribution. The maximum theoretical stages of best fitting distribution for different return periods were mapped to the Vardar and Boshava rivers in the Tikvesh Valley. Data to create the model were extracted from digital elevation models of the Vardar river target area. The extracted 3D surface model was covered with a map showing all the flooded areas in the relevant territory for different return periods as transparent layers. The data were converted into a physical model (relief map) using 3D printing methods for visualisation.