Quality Assurance Matrix of the WFD
Quality Assurance Matrix
The reliability of a WFD assessment still largely depends on a variety of factors. The framework developed builds upon the article “A Novel Approach to Characterize Data Uncertainty in Material Flow Analysis and its Application to Plastics Flows in Austria” of Laner et al. (2016) who outlined five indicators for assessing uncertainty in MFA input data:
1. The reliability of data sources, methods, and documentation used;
2. The completeness of the data;
3. The temporal correlation of data sources used (how close the data year is to the target year);
4. The geographical correlation (how close the spatial scale of the data matches the target area);
5. The correlation of other relevant factors (e.g. data is for the correct process / technology under investigation).
The quality assessment framework developed for the WFD incorporates these indicators but also further expands them into sub-indicators to reflect the specifics of the WFD and to allow for easier and more repeatable scoring. Each sub-indicator is scored from between 1 (most reliable) to 4 (least reliable). The average score is then taken to indicate the overall reliability of the assessment.