What is the OECD POV AND LRTP SCREENING Tool?
Features of the Tool
1. Simple and easy to use
The Tool has a “Main menu” for entering data and results are shown in easy to read graphical mode, which allows even beginners to utilise it easily.
2. Flexible Data Management and Model Setting
Users can chose chemicals from a database installed in the Tool, or enter data for chemicals of interest, i.e. physical-chemical properties and degradation half-lives. It is possible to transport users’ own databases, and store them within the Tool. It is also possible to change model settings.
3. Representative of several models
The model in the Tool was developed as a “consensus model” reflecting features of several existing multimedia fate and transport models.
4. Graphical and Numerical Output
The result of model calculation is shown in both numerical and graphical outputs, such as:
How was the Tool developed?
The Tool has its origin at the OECD/UNEP Workshop on the Use of Multimedia Models held in Ottawa, Canada in 2001. After the workshop, an OECD Expert Group for the Follow-up to the OECD/UNEP Workshop was established. Between 2002 and 2005, the Expert Group developed a consensus model based on existing predictive approaches to environmental persistence and long-range transport.
The software has been developed by Switzerland in co-operation with Germany, under the supervision of the OECD Task Force on Environmental Exposure Assessment (TFEEA), and in co-operation with the participants of the OECD/UNEP Training Workshops on Application of Multimedia Models for Identification of POPs held in 2005 and 2006.
The software (Version 2.1) was endorsed by the TFEEA in late 2007, and published in April 2008. The updated Version 2.2 was released in April 2009.
Download the Tool and related materials
The OECD Pov and LRTP Screening Tool (Version 2.2)
Requirements for the software: MS Excel 2002 or higher on MS Windows MS Excel 2004 for Macintosh on Mac OS X (The Tool will not work with MS Excel 2008 for Macintosh.)
The software is described in detail in the journal article by F. Wegmann et al(2009), Environmental Modeling & Software 24, 228-237.