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Time-resolved co-transport dynamics of microplastics and antibiotic resistance genes during stormwater first flush
Summary
By monitoring a single urban stormwater runoff event in real time, researchers captured how microplastics and antibiotic resistance genes surge together during the initial "first flush" of rainfall before declining, with microplastic concentrations starting above 3,000 particles per liter and dropping dramatically within the first 10 minutes. Certain antibiotic resistance genes correlated strongly with microplastic levels, suggesting the particles may help transport resistance genes through urban watersheds into waterways. The study underscores that the opening burst of a rain event is a critical window for pollution control efforts.
Urban stormwater runoff is increasingly recognized as a key yet insufficiently characterized pathway for the dissemination of microplastics (MPs) and antibiotic resistance genes (ARGs), but their time-resolved co-occurrence during individual rainfall events remains poorly understood. Water quality indicators (SS, TN, TP, TOC), MPs, tire and road wear particles (TRWPs), and ARG abundances were monitored from runoff initiation to recession during a 90-min rainfall event. First, MPs and TRWPs showed an early-event first-flush pulse: MP counts declined from ∼3100 particles/L at 0 min to 480 particles/L at 10 min, whereas TRWPs increased from 3313.78 μg/L at 0 min to 3931.46 μg/L at 10 min and then fell to 62.96 μg/L at 90 min. Detected MPs were yielding an event mean concentration of 415.78 particles/L (total load: 1.3 × 10 particles). Second, ARG abundances ranged from 10 to 10 copies/L, and sul1 showed the highest event load (1.1 × 10 copies). In addition, Pearson correlation and redundancy analyses revealed strong associations among MPs, TOC/TN, and several ARGs (sul1, qnrS, floR; r > 0.7), whereas TRWPs showed weaker links with ARG profiles. These results further indicate that a subset of ARGs co-varied with particulate organic matter and MPs during early runoff based on correlation analyses, while other genes (e.g., ermB) follow distinct pathways. Finally, the study provides field-based evidence of co-occurrence patterns between MPs and selected ARGs and suggests that routinely monitored indicators may enable proxy-based screening of micro-pollutant dynamics. Although derived from a single event, the dataset underscores the importance of first-flush control and multi-event validation for improved assessment of ARG dissemination via stormwater.
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