Department of Environmental Engineering, Technical University of Denmark, Miljoevej 113, DK-2800, Kgs. Lyngby, Denmark.
Environ Sci Pollut Res Int. 2012 May;19(4):1119-30. doi: 10.1007/s11356-011-0627-9. Epub 2011 Oct 13.
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.
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.
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.
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.
实施当前的欧洲环境法规，如《水框架指令》，需要获得全面、结构良好的污染物源和排放清单。本工作的目的是开发一个非常适合该目的的污染源分类框架（SCF）。
一个多学科研究小组对现有的污染源分类系统进行了检查，并开发了一个优化的 SCF。使用欧洲列为优先污染物的 25 种化学物质的选择，对 SCF 的性能和可用性进行了测试。
SCF 采用关系数据库的形式，结合定性和定量的源分类和排放数据。该系统支持广泛的污染监测和管理应用。SCF 在性能测试中运行良好，该测试还揭示了优先污染物排放数据中的重要差距。
SCF 为欧洲污染物源和排放分类和管理提供了一种结构良好的方法。通过进一步的优化和示范测试，SCF 有可能在整个欧洲得到全面实施。
