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

作者：Lutzhoft Hans Christian Holten^*; Donner Erica; Wickman Tonie; Eriksson Eva; Banovec Primoz; Mikkelsen Peter Steen; Ledin Anna

来源：Environmental Science and Pollution Research, 2012, 19(4): 1119-1130.

DOI：10.1007/s11356-011-0627-9

• Priority substances
• Source classification
• Stormwater
• Urban pollution
• Wastewater
• Water Framework Directive

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. %26lt;br%26gt;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. %26lt;br%26gt;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. %26lt;br%26gt;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.

• 出版日期2012-5