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Revising Environmental Quality Standards: Lessons Learned
Muris Korkaric1,2, Marion Junghans1, Robert Pasanen-Kase1,3
1Swiss Centre for Applied Ecotoxicology, Dübendorf, Switzerland.
Revising environmental quality standards (EQSs) for 62 substances did not consistently raise or lower values, with most changes under tenfold. Revision improves EQS robustness, but data limitations hinder advanced methods.
Area of Science:
- Environmental Science
- Ecotoxicology
- Risk Assessment
Background:
- Environmental quality standards (EQSs) are crucial for regulatory monitoring and risk assessment.
- Variations in EQSs over time and across borders complicate water body risk management.
- Previous EQS derivations often relied on limited data, necessitating revisions.
Purpose of the Study:
- To investigate the reasons behind changes in EQS values after revising previously established standards for 62 substances.
- To analyze how data set improvements and methodological shifts influence EQS values.
- To assess the impact of revisions on the reliability and robustness of EQSs.
Main Methods:
- Data retrieval from public databases, literature, and manufacturer dossiers.
- Ecotoxicological data assessment for reliability and relevance.
- EQS derivation following European Union guidelines, using deterministic assessment factor (AF) and species sensitivity distribution (SSD) methods.
Main Results:
- Data set size and completeness generally increased post-revision.
- Annual Average EQSs (AA-EQSs) saw varied changes (13 increased, 21 decreased); Maximum Acceptable Concentration EQSs (MAC-EQSs) also varied (22 increased, 11 decreased).
- The use of SSD method increased, and assessment factors were adjusted, but most EQSs changed less than tenfold.
Conclusions:
- EQS revisions do not inherently lead to higher or lower values; most changes are minor (<10-fold).
- Revisions enhance EQS robustness, particularly when moving from limited data to SSD-based approaches.
- Insufficient reliable data remains a barrier to widespread SSD application for EQS derivation.
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