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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Authors: | Hans-Christian Holten Lützhøft Erica Donner Tonie Wickman Eva Eriksson Primo? Banovec Peter Steen Mikkelsen Anna Ledin |
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Institution: | (1) Department of Environmental Engineering, Technical University of Denmark, Miljoevej 113, DK-2800 Kgs. Lyngby, Denmark;(2) Urban Pollution Research Centre, Middlesex University, NW4 4BT London, UK;(3) Centre for Environmental Risk Assessment and Remediation (CERAR), University of South Australia, Building X, Mawson Lakes Campus, Mawson Lakes, SA, 5095, Australia;(4) City of Stockholm, Environment and Health Administration, Fleminggatan 4, SE-104 20 Stockholm, Sweden;(5) Faculty of Civil and Geodetic Engineering, University of Ljubljana, Hajdrihova 28, SI-1000 Ljubljana, Slovenia |
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Abstract: | PurposeImplementation 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.MethodsExisting 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.ResultsThe 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.ConclusionsThe 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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