Summary recommendations on "Analytical methods for substances in the Watch List under the Water Framework Directive"
The Watch List (WL) is a monitoring program under the European Water Framework Directive (WFD) to obtain high-quality Union-wide monitoring data on potential water pollutants for which scarce monitoring data or data of insufficient quality are available. The main purpose of the WL data collection is to determine if the substances pose a risk to the aquatic environment at EU level and subsequently to decide whether a threshold, the Environmental Quality Standards (EQS) should be set for them and, potentially to be listed as priority substance in the WFD. The first WL was established in 2015 and contained 10 individual or groups of substances while the 4th WL was launched in 2022. The results of monitoring the substances of the first WL showed that some countries had difficulties to reach an analytical Limit of Quantification (LOQ) below or equal to the Predicted No-Effect Concentrations (PNEC) or EQS. The Joint Research Centre (JRC) of the European Commission (EC) organised a series of workshops to support the EU Member States (MS) and their activities under the WFD. Sharing the knowledge among the Member States on the analytical methods is important to deliver good data quality. The outcome and the discussion engaged with the experts are described in this paper, and in addition a literature review of the most important publications on the analysis of 17-alpha-ethinylestradiol (EE2), amoxicillin, ciprofloxacin, metaflumizone, fipronil, metformin, and guanylurea from the last years is presented.
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Other Authors: | |
Format: | artículo biblioteca |
Language: | English |
Published: |
Elsevier
2023-11-20
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Subjects: | Water sample, Analytical method, Limit of Quantification (LOQ), Partitioning, Technical guidance, http://metadata.un.org/sdg/6, Ensure availability and sustainable management of water and sanitation for all, |
Online Access: | http://hdl.handle.net/10261/340848 https://api.elsevier.com/content/abstract/scopus_id/85179072755 |
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