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Occurrence and concentrations of organic micropollutants (OMPs) in highway stormwater: a comparative field study in Sweden

Environmental Science and Pollution Research 2023 10 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Ali Beryani, Kelsey Flanagan, Maria Viklander, Godecke‐Tobias Blecken

Summary

Researchers measured a wide range of chemical pollutants in stormwater runoff from a Swedish highway, finding that bisphenol-A (BPA), certain plasticizers, and several carcinogenic compounds exceeded safe environmental levels. The study highlights that road runoff is a significant source of toxic micropollutants entering freshwater systems.

Study Type Environmental

This study details the occurrence and concentrations of organic micropollutants (OMPs) in stormwater collected from a highway bridge catchment in Sweden. The prioritized OMPs were bisphenol-A (BPA), eight alkylphenols, sixteen polycyclic aromatic hydrocarbons (PAHs), and four fractions of petroleum hydrocarbons (PHCs), along with other global parameters, namely, total organic carbon (TOC), total suspended solids (TSS), turbidity, and conductivity (EC). A Monte Carlo (MC) simulation was applied to estimate the event mean concentrations (EMC) of OMPs based on intra-event subsamples during eight rain events, and analyze the associated uncertainties. Assessing the occurrence of all OMPs in the catchment and comparing the EMC values with corresponding environmental quality standards (EQSs) revealed that BPA, octylphenol (OP), nonylphenol (NP), five carcinogenic and four non-carcinogenic PAHs, and C16-C40 fractions of PHCs can be problematic for freshwater. On the other hand, alkylphenol ethoxylates (OPnEO and NPnEO), six low molecule weight PAHs, and lighter fractions of PHCs (C10-C16) do not occur at levels that are expected to pose an environmental risk. Our data analysis revealed that turbidity has a strong correlation with PAHs, PHCs, and TSS; and TOC and EC highly associated with BPA concentrations. Furthermore, the EMC error analysis showed that high uncertainty in OMP data can influence the final interpretation of EMC values. As such, some of the challenges that were experienced in the presented research yielded suggestions for future monitoring programs to obtain more reliable data acquisition and analysis.

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