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

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00567092" target="_blank" >RIV/86652079:_____/22:00567092 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://niva.brage.unit.no/niva-xmlui/bitstream/handle/11250/3040311/7783-2022.pdf?sequence=1&isAllowed=y" target="_blank" >https://niva.brage.unit.no/niva-xmlui/bitstream/handle/11250/3040311/7783-2022.pdf?sequence=1&isAllowed=y</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    10501 - Hydrology

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GC21-22810J" target="_blank" >GC21-22810J: Vztah mezi chemickým složením rozpuštěné organické hmoty a cyklem živin v lesních povodích mírného pásma</a><br>

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    NIVA Report

  • ISSN

    1894-7948

  • e-ISSN

  • Svazek periodika

    2022

  • Číslo periodika v rámci svazku

    7783

  • Stát vydavatele periodika

    NO - Norské království

  • Počet stran výsledku

    3

  • Strana od-do

    12-15

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus