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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

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Abstract

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.

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Acknowledgement

The presented results have been obtained within the framework of the project Source Control Options for Reducing Emissions of Priority Pollutants (ScorePP), contract no. 037036, a project coordinated by the Department of Environmental Engineering, Technical University of Denmark within the Energy, Environment and Sustainable Development section of the European Community’s Sixth Framework Programme for Research, Technological Development and Demonstration. We acknowledge the input from several collaborators to the framing discussions leading forward to this SCF, notably Veerle Gevaert and Webbey De Keyser (Ghent University), Mike Revitt (Middlesex University), Peter Vanrolleghem (Université Laval) and André Lecloux (ENVICAT Consulting). Matej Cerk (Ljubljana University) is greatly acknowledged for coding the relevant database tables and providing the user interface allowing data entry and extraction from the database.

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Authors and Affiliations

  1. Department of Environmental Engineering, Technical University of Denmark, Miljoevej 113, DK-2800, Kgs. Lyngby, Denmark

    Hans-Christian Holten Lützhøft, Eva Eriksson, Peter Steen Mikkelsen & Anna Ledin

  2. Urban Pollution Research Centre, Middlesex University, NW4 4BT, London, UK

    Erica Donner

  3. Centre for Environmental Risk Assessment and Remediation (CERAR), University of South Australia, Building X, Mawson Lakes Campus, Mawson Lakes, SA, 5095, Australia

    Erica Donner

  4. City of Stockholm, Environment and Health Administration, Fleminggatan 4, SE-104 20, Stockholm, Sweden

    Tonie Wickman

  5. Faculty of Civil and Geodetic Engineering, University of Ljubljana, Hajdrihova 28, SI-1000, Ljubljana, Slovenia

    Primož Banovec

Authors
  1. Hans-Christian Holten Lützhøft
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  2. Erica Donner
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  3. Tonie Wickman
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  4. Eva Eriksson
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  5. Primož Banovec
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  6. Peter Steen Mikkelsen
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  7. Anna Ledin
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Correspondence to Hans-Christian Holten Lützhøft.

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Responsible editor: Markus Hecker

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Lützhøft, HC.H., Donner, E., Wickman, T. et al. A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments. Environ Sci Pollut Res 19, 1119–1130 (2012). https://doi.org/10.1007/s11356-011-0627-9

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  • DOI: https://doi.org/10.1007/s11356-011-0627-9

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