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一种支持污染源映射、污染物释放预测、传输和负荷预测以及城市环境源控制规划的源分类框架。

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

机构信息

Department of Environmental Engineering, Technical University of Denmark, Miljoevej 113, DK-2800, Kgs. Lyngby, Denmark.

出版信息

Environ Sci Pollut Res Int. 2012 May;19(4):1119-30. doi: 10.1007/s11356-011-0627-9. Epub 2011 Oct 13.

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.

摘要

目的

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)。

方法

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。

结果

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。

结论

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。

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