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

Hans-Christian Holten Lützhøft, Erica Donner, Tonie Wickman, Eva Eriksson, Primož Banovec, Peter Steen Mikkelsen, Anna Ledin

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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.
Original languageEnglish
JournalEnvironmental science and pollution research international
Volume19
Issue number4
Pages (from-to)1119-1130
ISSN0944-1344
DOIs
Publication statusPublished - 2012

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