Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s12665-013-2447-3
Volltext Shareable Link
Titel (primär) Combined sewer overflows, sediment accumulation and element patterns of river bed sediments: a quantitative study based on mixing models of composite fingerprints
Autor David, T.; Borchardt, D.; von Tümpling, W. ORCID logo ; Krebs, P.
Quelle Environmental Earth Sciences
Erscheinungsjahr 2013
Department ASAM; FLOEK
Band/Volume 69
Heft 2
Seite von 479
Seite bis 489
Sprache englisch
Keywords Stormwater; Combined sewers overflow; Particulate matter; Bed sediment; Mixing model; Composite fingerprint; Pollutants; Sediment trap
UFZ Querschnittsthemen TERENO; RU2;
Abstract Stormwater runoff from urban areas and subsequent stormwater-induced effluents from sewer systems may deteriorate the quality of the receiving water sediments by emitting particulate matter and associated pollutants. However, the relevance of stormwater and combined sewer effluents for the pollution of bed sediments was not yet quantified. Therefore, we applied a multivariate mixing model of composite fingerprints to investigate how much stormwater effluent may contribute to the accumulation of fines and associated pollutants in the bed sediment of the Bode River, Germany. In our study, stormwater and combined sewer effluents contribute about 10 % of the fines accumulated in the bed sediment. As stormwater overflow fines are a major carrier of C, N, P, Cu and Zn, up to 40 % of these pollutants in the bed sediment originate from stormwater effluents. Especially N and Zn have to be seen critically because high nutrient concentrations trigger excessive macrophyte growth within the studied river stretch and Zn contents exceed German sediment quality standards (LAWA 1998) in the bed sediment.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=13598
David, T., Borchardt, D., von Tümpling, W., Krebs, P. (2013):
Combined sewer overflows, sediment accumulation and element patterns of river bed sediments: a quantitative study based on mixing models of composite fingerprints
Environ. Earth Sci. 69 (2), 479 - 489 10.1007/s12665-013-2447-3