A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments
| Autor: | Eva Eriksson, Hans-Christian Holten Lützhøft, Peter Steen Mikkelsen, Tonie Wickman, Erica Donner, Anna Ledin, Primož Banovec |
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| Přispěvatelé: | Holten Lützhøft, Hans Christian, Donner, Erica, Wickman, Tonie, Eriksson, Eva, Banovec, Primož, Mikkelsen, Peter Steen, Ledin, Anna |
| Rok vydání: | 2011 |
| Předmět: |
Health
Toxicology and Mutagenesis Load forecasting Stormwater Control (management) stormwater priority substances water framework directive Environmental monitoring Environmental Chemistry media_common.cataloged_instance European Union Cities European union wastewater media_common Pollutant business.industry Environmental resource management Environmental engineering General Medicine Pollution source classification Databases as Topic Water Framework Directive Work (electrical) Environmental science business urban pollution Water Pollutants Chemical Environmental Monitoring |
| Zdroj: | Environmental Science and Pollution Research. 19:1119-1130 |
| ISSN: | 1614-7499 0944-1344 |
| DOI: | 10.1007/s11356-011-0627-9 |
| Popis: | 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. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
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