Resources, Environment and Sustainability (Sep 2022)

Occurrence and partitioning behavior of E. coli and wastewater micropollutants following rainfall events

  • Mounia Hachad,
  • Hadis Yarahmadi,
  • Sung Vo Duy,
  • Sébastien Sauvé,
  • Michèle Prévost,
  • Sarah Dorner

Journal volume & issue
Vol. 9
p. 100067

Abstract

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The fate of indicator bacteria and wastewater micropollutants (WWMPs) discharged from water resource recovery facilities (WRRFs) and combined sewer overflows (CSOs) needs to be understood for the protection of drinking water sources. This study investigated the partitioning behavior in wet and dry weather of Escherichia coli and 6 WWMPs including acetaminophen (ACET), caffeine (CAF), theophylline (THEO), carbamazepine (CBZ), 2-hydroxycarbamazepine (CBZ-2OH), and the artificial sweetener aspartame (ASP) between the water, suspended particulate matter (SPM), and sediments. ACET, CAF, THEO and CBZ were detected in all matrices. In contrast, CBZ-2OH and ASP were strongly associated with suspended particles, being exclusively detected in SPM and sediments. When comparing dry to wet weather concentrations, three main patterns were observed depending on the compounds and CSO locations: (i) compounds with low removal efficiency by wastewater treatment (CBZ, CBZ-2OH and ASP) are diluted with the addition of stormwater in the aqueous and SPM phases; (ii) contaminants with high removal efficiency (E. coli, ACET, CAF, THEO) saw an increase in their particle associated fraction (39 to 59% for E. coli, and from 12%–43% to 42%–91% for WWMPs); and (iii) no significant difference was observed for surficial sediment concentrations after rainfall events, although spatial variability was observed. Results highlight the importance of monitoring the SPM phase to overcome dilution effects in the dissolved phase. Analyzing SPM with regards to micropollutants and indicator bacteria may be more relevant for risk assessment and the assessment of the relative contribution of CSO bypass flows and treated wastewater effluents loads.

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