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Watershed Planning within a Quantitative Scenario Analysis Framework
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A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and

Hans-Christian Holten Lützhøft1, Erica Donner, Tonie Wickman

  • 1Department of Environmental Engineering, Technical University of Denmark, Miljoevej 113, DK-2800, Kgs. Lyngby, Denmark. hhlu@env.dtu.dk

Environmental Science and Pollution Research International
|October 14, 2011
PubMed
Summary

A new Source Classification Framework (SCF) was developed to meet European environmental legislation needs. This framework effectively classifies pollutant sources and releases, though data gaps were identified.

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Area of Science:

  • Environmental Science
  • Environmental Chemistry
  • Database Management

Background:

  • European environmental legislation, like the Water Framework Directive, necessitates robust pollutant inventories.
  • Current systems may lack the structure needed for comprehensive source and release data.

Purpose of the Study:

  • To develop an optimized Source Classification Framework (SCF) for pollutant source and release inventories.
  • To create a system suitable for implementing European environmental legislation.

Main Methods:

  • A multidisciplinary team reviewed existing source classification systems.
  • An optimized SCF was developed and tested using 25 priority European pollutants.
  • The SCF was structured as a relational database.

Main Results:

  • The developed SCF effectively incorporates qualitative and quantitative pollutant data.
  • The system demonstrated usability for pollution monitoring and management.
  • Testing revealed significant gaps in data for priority pollutant releases.

Conclusions:

  • The SCF offers a structured approach for classifying and managing European pollutant sources and releases.
  • Further development and testing could lead to widespread European implementation.
  • The framework aids in identifying critical data deficiencies for environmental management.