Issue |
E3S Web of Conf.
Volume 550, 2024
The 16th International Scientific Conference of Civil and Environmental Engineering for the PhD. Students and Young Scientists – Young Scientist 2024 (YS24)
|
|
---|---|---|
Article Number | 01006 | |
Number of page(s) | 15 | |
Section | Civil Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202455001006 | |
Published online | 16 July 2024 |
Unravelling seasonal dynamics: Inter-station correlations and hydrological assessments of Topľa river in the Bardejov basin
Slovak University of Technology in Bratislava, Department of Hydraulic Engineering, 810 05 Radlinskeho 11, Bratislava, Slovakia
* Corresponding author: wael.almikaeel@stuba.sk
The study delves into the complex seasonal dynamics of water levels in the Topl'a River, strategically positioned within the Bardejov basin. Hydrological assessments, aided by the water-bearing coefficient, classify the hydrological situation into Wet, Normal, or Dry conditions, creating a robust framework for clustering water levels across different years. The measurement stations, strategically located in Bardejovská Dlhá Lúka (stream Kamenec), Bardejov (river Topľa), Kľušovská Zábava (stream Šibská voda), and Gerlachov (river Topľa), contribute unique insights. Notably, Gerlachov and Bardejov represent different locations of the same stream, while Šibská voda and Kamenec are spatially proximate to Bardejov, experiencing similar meteorological conditions. Results from statistical analyses showcase distinctive seasonality patterns at each location and how the correlation between these stations evolves across different hydrological conditions. Intriguingly, the findings reveal an insignificant spatial relationship of correlation between station locations and seasonality, challenging conventional expectations. The implications of these results for water management and resources are discussed, emphasizing the need for a nuanced understanding of seasonality dynamics in optimizing water resource planning.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.