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  • 1.
    Lützhøft, Hans-Christian Holten
    et al.
    Technical University of Denmark, Denmark.
    Donner, Erica
    Middlesex University, UK ; University of South Australia, Australia.
    Wickman, Tonie
    City of Stockholm.
    Eriksson, Eva
    Technical University of Denmark, Denmark.
    Banovec, Primož
    University of Ljubljana, Slovenia.
    Mikkelsen, Peter Steen
    Technical University of Denmark, Denmark.
    Ledin, Anna
    Technical University of Denmark, Denmark.
    A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments2012In: Environmental science and pollution research international, ISSN 0944-1344, E-ISSN 1614-7499, Vol. 19, no 4, p. 1119-1130Article in journal (Refereed)
    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.

  • 2.
    Mikkelsen, Peter Steen
    et al.
    Technical University of Denmark, Denmark.
    Lützhøft, Hans-Christian Holten
    Technical University of Denmark, Denmark.
    Eriksson, Eva
    Technical University of Denmark, Denmark.
    Ledin, Anna
    Technical University of Denmark, Denmark.
    Donner, Erica
    Middlesex University, UK.
    Scholes (Lundy), Lian
    Middlesex University, UK.
    Revitt, Mike
    Middlesex University, UK.
    Seriki, Kemi
    Veolia Research and Innovation, France.
    Castillo, Luis
    Veolia Research and Innovation, France.
    Pettersson, Maria
    Stockholms Stad.
    Wickman, Tonie
    Stockholms Stad.
    Lecloux, André
    Envicat Consulting, Belgium.
    Atanasova, Natasha
    University of Ljubljana, Slovenia.
    Kompare, Boris
    University of Ljubljana, Slovenia.
    Banovec, Primos
    University of Ljubljana, Slovenia.
    Options de contrôle à la source pour la réduction d'émissions de substances prioritaires en zone urbaine: [ Source control options for reducing emissions of priority pollutants ]2009In: Techniques Sciences Methodes, Genie Urbain Genie Rural, ISSN 0299-7258, Vol. 104, no 4, p. 77-87Article in journal (Other (popular science, discussion, etc.))
    Abstract [en]

    The overall aim of the ScorePP project is to develop comprehensive and appropriate source control strategies that authorities, cities, water utilities and the chemical industry can employ to reduce emissions of priority pollutants (PPs) into the receiving water environment in urban areas. Focus is on the 33 priority and priority hazardous substances and substance groups identified in the European Water Framework Directive. However, this list may be expanded to include emerging pollutants or reduced if appropriate model compounds can be identified. The initial work focuses on 67 substances, including substances identified in the proposed European environmental quality standard (EQS) directive as well as the defined example compounds and several organometallic derivatives. Information on inherent properties, environmental presence and fate, and legislative issues is made available in open database format, and a data management system combining chemical identification (CAS#), economic activity classifications (NACE) and NOSE-P emission source classifications has been developed as a basis for spatial characterisation of PP sources using GIS. Further work will focus on dynamic urban scale source-flux models, identifying emission patterns and optimising monitoring programmes in case studies and multi-criteria comparison of source control versus end-of-pipe mitigation options in relation to their economic, social and environmental impacts. Part of the project consists in acquiring data on PPs in case cities and to redistribute them within the project. This will allow to identify possible PPs sources in case cities, to map sources using GIS, understand the flow of some PPs and propose emission control strategies specific to each case city.

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