The complex spatio-temporal dynamics of organic micropollutants in tidal rivers

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The complex spatio-temporal dynamics of organic micropollutants in tidal rivers. / Schneider, Jonas R.L.; Kümmerer, Klaus; Logemann, Jörn et al.
In: Chemosphere, Vol. 373, 144180, 03.2025.

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Schneider JRL, Kümmerer K, Logemann J, Radke M. The complex spatio-temporal dynamics of organic micropollutants in tidal rivers. Chemosphere. 2025 Mar;373:144180. doi: 10.1016/j.chemosphere.2025.144180

Bibtex

@article{348ae95ae7ae47da9f99805f1284d867,
title = "The complex spatio-temporal dynamics of organic micropollutants in tidal rivers",
abstract = "This study addresses a significant gap in environmental research by investigating the complex dynamics of organic micropollutants (OMPs) in tidal rivers. Tidal rivers, such as the Thames, Seine, and Elbe, present unique challenges for pollutant monitoring due to the interplay of ebb and flood dynamics, which complicate the observation of pollutant behavior compared to unidirectional rivers or stagnant waters. To achieve this, high-frequency sampling was conducted over multiple days at two locations during two different seasons (summer and winter), combined with HPLC-HRMS analysis. Focusing on the Tidal Elbe River in Hamburg, Germany, our research employed statistical analysis to reveal three distinct OMP concentration patterns. The first pattern, marked by recurring tidal-related concentration peaks of plant protection agents like propamocarb and azoxystrobin, indicates localized, transient contamination likely stemming from nearby agricultural activities. The second pattern, characterized by stable concentrations of pharmaceuticals such as carbamazepine, lidocaine, and metformin, suggests continuous inputs from wastewater treatment plants and indicates these analytes{\textquoteright} environmental persistence. The third pattern demonstrates the rapid environmental degradation of the pharmaceutical metabolite 4-aminoantipyrine, with concentrations showing significant spatial, daily, and seasonal variability. These findings emphasize the role of tidal influences in pollutant distribution and illustrate the complexity of capturing transient contamination events in tidal rivers. The study provides a foundation for the future prioritization and identification of unknown contaminants through non-target analysis, while advocating for advanced monitoring strategies to improve water quality management and mitigate the risks OMPs pose to aquatic ecosystems and human health in tidal river systems.",
keywords = "High-frequency sampling, HPLC-HRMS, Hydrodynamics, Organic micropollutants, Statistical analysis, Tidal river, Chemistry",
author = "Schneider, {Jonas R.L.} and Klaus K{\"u}mmerer and J{\"o}rn Logemann and Michael Radke",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors",
year = "2025",
month = mar,
doi = "10.1016/j.chemosphere.2025.144180",
language = "English",
volume = "373",
journal = "Chemosphere",
issn = "0045-6535",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - The complex spatio-temporal dynamics of organic micropollutants in tidal rivers

AU - Schneider, Jonas R.L.

AU - Kümmerer, Klaus

AU - Logemann, Jörn

AU - Radke, Michael

N1 - Publisher Copyright: © 2025 The Authors

PY - 2025/3

Y1 - 2025/3

N2 - This study addresses a significant gap in environmental research by investigating the complex dynamics of organic micropollutants (OMPs) in tidal rivers. Tidal rivers, such as the Thames, Seine, and Elbe, present unique challenges for pollutant monitoring due to the interplay of ebb and flood dynamics, which complicate the observation of pollutant behavior compared to unidirectional rivers or stagnant waters. To achieve this, high-frequency sampling was conducted over multiple days at two locations during two different seasons (summer and winter), combined with HPLC-HRMS analysis. Focusing on the Tidal Elbe River in Hamburg, Germany, our research employed statistical analysis to reveal three distinct OMP concentration patterns. The first pattern, marked by recurring tidal-related concentration peaks of plant protection agents like propamocarb and azoxystrobin, indicates localized, transient contamination likely stemming from nearby agricultural activities. The second pattern, characterized by stable concentrations of pharmaceuticals such as carbamazepine, lidocaine, and metformin, suggests continuous inputs from wastewater treatment plants and indicates these analytes’ environmental persistence. The third pattern demonstrates the rapid environmental degradation of the pharmaceutical metabolite 4-aminoantipyrine, with concentrations showing significant spatial, daily, and seasonal variability. These findings emphasize the role of tidal influences in pollutant distribution and illustrate the complexity of capturing transient contamination events in tidal rivers. The study provides a foundation for the future prioritization and identification of unknown contaminants through non-target analysis, while advocating for advanced monitoring strategies to improve water quality management and mitigate the risks OMPs pose to aquatic ecosystems and human health in tidal river systems.

AB - This study addresses a significant gap in environmental research by investigating the complex dynamics of organic micropollutants (OMPs) in tidal rivers. Tidal rivers, such as the Thames, Seine, and Elbe, present unique challenges for pollutant monitoring due to the interplay of ebb and flood dynamics, which complicate the observation of pollutant behavior compared to unidirectional rivers or stagnant waters. To achieve this, high-frequency sampling was conducted over multiple days at two locations during two different seasons (summer and winter), combined with HPLC-HRMS analysis. Focusing on the Tidal Elbe River in Hamburg, Germany, our research employed statistical analysis to reveal three distinct OMP concentration patterns. The first pattern, marked by recurring tidal-related concentration peaks of plant protection agents like propamocarb and azoxystrobin, indicates localized, transient contamination likely stemming from nearby agricultural activities. The second pattern, characterized by stable concentrations of pharmaceuticals such as carbamazepine, lidocaine, and metformin, suggests continuous inputs from wastewater treatment plants and indicates these analytes’ environmental persistence. The third pattern demonstrates the rapid environmental degradation of the pharmaceutical metabolite 4-aminoantipyrine, with concentrations showing significant spatial, daily, and seasonal variability. These findings emphasize the role of tidal influences in pollutant distribution and illustrate the complexity of capturing transient contamination events in tidal rivers. The study provides a foundation for the future prioritization and identification of unknown contaminants through non-target analysis, while advocating for advanced monitoring strategies to improve water quality management and mitigate the risks OMPs pose to aquatic ecosystems and human health in tidal river systems.

KW - High-frequency sampling

KW - HPLC-HRMS

KW - Hydrodynamics

KW - Organic micropollutants

KW - Statistical analysis

KW - Tidal river

KW - Chemistry

UR - http://www.scopus.com/inward/record.url?scp=85216842780&partnerID=8YFLogxK

U2 - 10.1016/j.chemosphere.2025.144180

DO - 10.1016/j.chemosphere.2025.144180

M3 - Journal articles

C2 - 39914087

AN - SCOPUS:85216842780

VL - 373

JO - Chemosphere

JF - Chemosphere

SN - 0045-6535

M1 - 144180

ER -