Physicochemistry of the Lysina stream-What can we learn from high-frequency monitoring?

0567092 - ÚVGZ 2023 RIV NO eng J - Journal Article
Pérez Rivera, K. - Krám, Pavel - Oulehle, Filip - Čuřík, Jan - Petrash, D.A. - Hruška, Jakub
Physicochemistry of the Lysina stream-What can we learn from high-frequency monitoring?
NIVA Report. Roč. 2022, č. 7783 (2022), s. 12-15. ISSN 1894-7948
R&D Projects: GA ČR(CZ) GC21-22810J
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : high-frequency monitoring * fluorescent dissolved organic matter * hydrological events * hydrological events * forest catchment * stream water * dissolved organic carbon
OECD category: Hydrology
Method of publishing: Open access
https://niva.brage.unit.no/niva-xmlui/bitstream/handle/11250/3040311/7783-2022.pdf?sequence=1&isAllowed=y

During the first half of the 1990s, atmospheric acid deposition was inconpletely neutralized in the drainage waters at Lysina due to low weathering rates. Lysina streamwater thus exhibited low pH and correspondingly extremely high mean concentrations of potentially toxic inorganic monomeric aluminum (0.7 mg/L) in stream water. Concentrations of Ali were usually above the toxic level for benthic macroinvertebrates (above 0.14 or 0.3 mg/L for different species). Moreover, macroinvertebrate biodiversity was very low in the Lysina stream compared to Czech forested sites with higher streamwater pH values. Data from regular monitoring show notable variability relative to seasonal fluctuations in flow conditions, with unstable levels for all parameters. Similarly, to another studied sites the changes in flow conditions at Lysina exert control on the concentration of solutes and parameter dynamics. There is a clear increase in concentrations of dissolved organic carbon (DOC) and proton (H+), as well as increases in conductivity as flow levels increase. However, when compared to high frequency data, it is clearly documented that regular weekly sampling regularly miss important episodic discharge events. This results in misinterpretation of processes and leads to underestimation of the impact of short-term hydrological events. Therefore, having high frequency measurements compliment and substantially aid our assessment of signals that can be missed by regular sampling. The high-frequency data has the potential for improving our calculation of element fluxes, nutrient levels, and their bioavailability in streams, as well as assessment of biogeochemical processes.
Permanent Link: https://hdl.handle.net/11104/0338352