Beyond target chemicals: updating the NORMAN prioritisation scheme to support the EU chemicals strategy with semi-quantitative suspect/non-target screening data

Valeria Dulio*, Nikiforos Alygizakis, Kelsey Ng, Emma L. Schymanski, Sandrine Andres, Katrin Vorkamp, Juliane Hollender, Saskia Finckh, Reza Aalizadeh, Lutz Ahrens, Elodie Bouhoulle, Ľuboš Čirka, Anja Derksen, Geneviève Deviller, Anja Duffek, Mar Esperanza, Stellan Fischer, Qiuguo Fu, Pablo Gago-Ferrero, Peter HaglundMarion Junghans, Stefan A.E. Kools, Jan Koschorreck, Benjamin Lopez, Miren Lopez de Alda, Giuseppe Mascolo, Cécile Miège, Leonard Osté, Simon O’Toole, Pawel Rostkowski, Tobias Schulze, Kerry Sims, Laetitia Six, Jaroslav Slobodnik, Pierre François Staub, Gerard Stroomberg, Nikolaos S. Thomaidis, Anne Togola, Giorgio Tomasi, Peter C. von der Ohe

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Abstract

Background: Prioritisation of chemical pollutants is a major challenge for environmental managers and decision-makers alike, which is essential to help focus the limited resources available for monitoring and mitigation actions on the most relevant chemicals. This study extends the original NORMAN prioritisation scheme beyond target chemicals, presenting the integration of semi-quantitative data from retrospective suspect screening and expansion of existing exposure and risk indicators. The scheme utilises data retrieved automatically from the NORMAN Database System (NDS), including candidate substances for prioritisation, target and suspect screening data, ecotoxicological effect data, physico-chemical data and other properties. Two complementary workflows using target and suspect screening monitoring data are applied to first group the substances into six action categories and then rank the substances using exposure, hazard and risk indicators. The results from the ‘target’ and ‘suspect screening’ workflows can then be combined as multiple lines of evidence to support decision-making on regulatory and research actions. Results: As a proof-of-concept, the new scheme was applied to a combined dataset of target and suspect screening data. To this end, > 65,000 substances on the NDS, of which 2579 substances supported by target wastewater monitoring data, were retrospectively screened in 84 effluent wastewater samples, totalling > 11 million data points. The final prioritisation results identified 677 substances as high priority for further actions, 7455 as medium priority and 326 with potentially lower priority for actions. Among the remaining substances, ca. 37,000 substances should be considered of medium priority with uncertainty, while it was not possible to conclude for 19,000 substances due to insufficient information from target monitoring and uncertainty in the identification from suspect screening. A high degree of agreement was observed between the categories assigned via target analysis and suspect screening-based prioritisation. Suspect screening was a valuable complementary approach to target analysis, helping to prioritise thousands of substances that are insufficiently investigated in current monitoring programmes. Conclusions: This updated prioritisation workflow responds to the increasing use of suspect screening techniques. It can be adapted to different environmental compartments and can support regulatory obligations, including the identification of specific pollutants in river basins and the marine environments, as well as the confirmation of environmental occurrence levels predicted by modelling tools. Graphical Abstract: (Figure presented.)

OriginalsprogEngelsk
Artikelnummer113
TidsskriftEnvironmental Sciences Europe
Vol/bind36
Nummer1
ISSN2190-4707
DOI
StatusUdgivet - dec. 2024

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