4.7 Article

Hazard screening of contaminants of emerging concern (CECs) in Sweden's three largest lakes and their associated rivers

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JOURNAL OF HAZARDOUS MATERIALS
卷 453, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.jhazmat.2023.131376

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Pharmaceuticals; Industrial chemicals; PFAS; Ionizable substances; Species sensitivity distribution (SSD)

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Persistent, mobile, and toxic (PMT) substances are receiving increasing attention from environmental researchers, the water sector, and environmental protection agencies. This study assessed the risk of emerging concern contaminants in Swedish surface waters using species sensitivity distributions (SSDs) and risk quotients (RQ). The results showed that some of the detected contaminants posed a moderate to high risk in Swedish rivers and lakes.
Persistent, mobile, and toxic (PMT) substances have recently garnered increased attention by environmental researchers, the water sector and environmental protection agencies. In this study, acute and chronic species sensitivity distributions (SSDs) were retrieved from literature data for previously quantified contaminants of emerging concern (CECs) in Swedish surface waters (n = 92) and risk quotients (RQ) were calculated. To better understand the characteristics of the detected CECs in non-urban lake sites (n = 71), these compounds were checked against established criteria for potentially toxic PMs (PM(T)s) and occurrence in the aquatic environment, respectively. For the CECs with missing SSDs (n = 15 [acute], n = 41 [chronic]), ecotoxicity data were extracted for eight taxonomic groups, and if data were sufficient (n >= 3), SSDs were derived. The retrieved and newly developed SSDs were then used in an environmental hazard assessment (EHA) in the investigated Swedish rivers and lakes. In the rivers, 8 CECs had RQ> 1 in at least one location, and 20 CECs posed a moderate risk (0.01 < RQ < 1). In total, 21 of the 71 detected substances had already been identified as PM(T)/vPvM substances. Our study shows the importance of studying field data at large spatial scale to reveal potential environmental hazards far from source areas.

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