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Journal article

A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments

From

Department of Environmental Engineering, Technical University of Denmark1

Middlesex University2

City of Stockholm3

Environmental Chemistry, Department of Environmental Engineering, Technical University of Denmark4

University of Ljubljana5

Urban Water Engineering, Department of Environmental Engineering, Technical University of Denmark6

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.

Language: English
Publisher: Springer-Verlag
Year: 2012
Pages: 1119-1130
ISSN: 16147499 and 09441344
Types: Journal article
DOI: 10.1007/s11356-011-0627-9
ORCIDs: Eriksson, Eva and Mikkelsen, Peter Steen

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