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Evaluation of measured dissolved and bio-met predicted bioavailable Cu, Ni and Zn concentrations in runoff from three urban catchments
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Architecture and Water.ORCID iD: 0000-0001-8321-1847
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Architecture and Water.ORCID iD: 0000-0002-4732-7348
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Architecture and Water.ORCID iD: 0000-0003-1155-4132
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Architecture and Water.ORCID iD: 0000-0003-1725-6478
2021 (English)In: Journal of Environmental Management, ISSN 0301-4797, E-ISSN 1095-8630, Vol. 287, article id 112263Article in journal (Refereed) Published
Abstract [en]

Urban runoff is a diffuse source of pollution contributing to the poor ecological and chemical status of surface waters. Whilst the EU Priority Hazardous Substances Directive now identifies environmental quality standards for selected metals in relation to the bioavailable metal fraction the relationship between analytically determined metal size fractions transported by urban runoff and the often variably defined concept of bioavailability has not been thoroughly evaluated. This paper provides a review of the terminology used within urban runoff studies to characterise metal fractions and behaviour. Measured dissolved and truly dissolved (determined by ultrafiltration; <3000 molecular weight cutoff) Cu, Ni, and Zn concentrations are also compared to the bioavailable metal fraction (as predicted using Bio-met, a simplified biotic ligand model) in snowmelt and rainfall derived runoff samples from three urban catchments. The study shows that predicted bioavailable concentrations were significantly lower than truly dissolved concentrations for all metals and discusses current bioavailability modelling parameters in relation to rainfall and snowmelt runoff data sets. Statistical analysis of relationships between field and predicted bioavailable data sets indicate that the bioavailable fractions originate from both colloidal and truly dissolved fractions.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 287, article id 112263
Keywords [en]
Stormwater, Snowmelt, Bioavailability, Bio-met, Ultrafiltration, Metals
National Category
Water Engineering
Research subject
Urban Water Engineering; Centre - Centre for Stormwater Management (DRIZZLE)
Identifiers
URN: urn:nbn:se:ltu:diva-83249DOI: 10.1016/j.jenvman.2021.112263ISI: 000639199300003PubMedID: 33714042Scopus ID: 2-s2.0-85102537292OAI: oai:DiVA.org:ltu-83249DiVA, id: diva2:1536880
Funder
Swedish Research Council Formas, 2016–20073Vinnova, 2016–05176
Note

Validerad;2021;Nivå 2;2021-03-12 (alebob)

Available from: 2021-03-12 Created: 2021-03-12 Last updated: 2024-03-22Bibliographically approved

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Lindfors, SarahÖsterlund, HeleneLundy, LianViklander, Maria

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