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A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments
Technical University of Denmark, Denmark.ORCID-id: 0000-0002-4947-7710
Middlesex University, UK ; University of South Australia, Australia.ORCID-id: 0000-0001-6465-2233
City of Stockholm.
Technical University of Denmark, Denmark.ORCID-id: 0000-0002-5472-8553
Vise andre og tillknytning
2012 (engelsk)Inngår i: Environmental science and pollution research international, ISSN 0944-1344, E-ISSN 1614-7499, Vol. 19, nr 4, s. 1119-1130Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Purpose

Implementation of current European environmental legislation such as the Water Framework Directive requires access to comprehensive, well-structured pollutant source and release inventories. The aim of this work was to develop a Source Classification Framework (SCF) ideally suited for this purpose.

Methods

Existing source classification systems were examined by a multidisciplinary research team, and an optimised SCF was developed. The performance and usability of the SCF were tested using a selection of 25 chemicals listed as priority pollutants in Europe.

Results

The SCF is structured in the form of a relational database and incorporates both qualitative and quantitative source classification and release data. The system supports a wide range of pollution monitoring and management applications. The SCF functioned well in the performance test, which also revealed important gaps in priority pollutant release data.

Conclusions

The SCF provides a well-structured approach for European pollutant source and release classification and management. With further optimisation and demonstration testing, the SCF has the potential to be fully implemented throughout Europe.

sted, utgiver, år, opplag, sider
2012. Vol. 19, nr 4, s. 1119-1130
Emneord [en]
Priority substances, Source classification, Stormwater, Urban pollution, Wastewater, Water Framework Directive
HSV kategori
Forskningsprogram
Naturvetenskap, Miljövetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-66666DOI: 10.1007/s11356-011-0627-9OAI: oai:DiVA.org:lnu-66666DiVA, id: diva2:1120042
Tilgjengelig fra: 2017-07-05 Laget: 2017-07-05 Sist oppdatert: 2017-11-15bibliografisk kontrollert

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Eriksson, Eva

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Lützhøft, Hans-Christian HoltenDonner, EricaEriksson, EvaBanovec, PrimožMikkelsen, Peter SteenLedin, Anna
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Environmental science and pollution research international

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