Spatial Modelling of Micro-pollutants in a Strongly Regulated Cross-border Lowland Catchment

Autor(en): Laemmchen, Volker
Klasmeier, Jorg 
Hernandez-Leal, Lucia
Berlekamp, Jurgen
Stichwörter: Anthropogenic impact; ANTIDIABETIC DRUG METFORMIN; BEHAVIOR; Cross-border; DEGRADATION; Engineering; Engineering, Environmental; FATE; GREAT-ER model; HUMAN PHARMACEUTICALS; Metformin; MICROPOLLUTANTS; RISK-ASSESSMENT; River basin management; Spatial modelling; SURFACE-WATER; TREATMENT PLANTS; WASTE-WATER
Erscheinungsdatum: 2021
Herausgeber: SPRINGER INTERNATIONAL PUBLISHING AG
Journal: ENVIRONMENTAL PROCESSES-AN INTERNATIONAL JOURNAL
Volumen: 8
Ausgabe: 3
Startseite: 973
Seitenende: 992
Zusammenfassung: 
Anthropogenically influenced transboundary catchment areas require an appropriately adapted exposure modelling. In such catchments, water management decisions strongly influence and override natural river hydrology. We adapted the existing exposure assessment model GREAT-ER to better represent artificially overprinted hydrological conditions in the simulations. Changes in flow directions and emission routes depending on boundary conditions can be taken into account by the adopted approach. The approach was applied in a case study for the drug metformin in the cross-border catchment of Vecht (Germany/Netherlands). In the Dutch part, pumps to maintain necessary water levels and minimum flow rates during dry periods lead to a reversal of the (natural) flow directions and as a consequence to additional pollutant input from the Lower Rhine/Ijssel along with a spatial redistribution of emissions in the catchment area. The model results for the pharmaceutical product metformin show plausible concentration patterns that are consistent with both monitoring results and literature findings at mean discharges and the effects of the changed hydrology in times of low natural discharges, namely an increase in polluted river sections under dry conditions due to the pumping activities. The adapted methodology allows for realistic application of the GREAT-ER model in anthropogenically modified catchments. The approach can be used in similar catchments worldwide for more realistic aquatic exposure assessment.
ISSN: 21987491
DOI: 10.1007/s40710-021-00530-2

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