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Time-resolved co-transport dynamics of microplastics and antibiotic resistance genes during stormwater first flush

  • Taehwan Lee
  • , Hongmok Jo
  • , Min Sang Kim
  • , Yeongmi Park
  • , Uijeong Han
  • , Jaehun Gwon
  • , Seon Young Kim
  • , Seunghyun Lee
  • , Ran Kim
  • , Hyoyoung Lee
  • , Gopalakrishnan Kumar
  • , Si Kyung Cho
  • Dongguk University
  • National Institute of Environmental Research
  • KOTITI Testing & Research Institute
  • University of Stavanger

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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 × 108 particles). Second, ARG abundances ranged from 105 to 109 copies/L, and sul1 showed the highest event load (1.1 × 1014 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.

Original languageEnglish
Article number124193
JournalEnvironmental Research
Volume297
DOIs
StatePublished - 15 May 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Antibiotic resistance genes
  • Event mean concentration
  • Microplastics
  • Stormwater runoff
  • Tire and road wear particles

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