Reactive transport of micropollutants in laboratory aquifers undergoing transient exposure periods

Sci Total Environ. 2023 Jan 15;856(Pt 2):159170. doi: 10.1016/j.scitotenv.2022.159170. Epub 2022 Oct 2.

Abstract

Groundwater quality is of increasing concern due to the ubiquitous occurrence of micropollutant mixtures. Stream-groundwater interactions near agricultural and urban areas represent an important entry pathway of micropollutants into shallow aquifers. Here, we evaluated the biotransformation of a micropollutant mixture (i.e., caffeine, metformin, atrazine, terbutryn, S-metolachlor and metalaxyl) during lateral stream water flow to adjacent groundwater. We used an integrative approach combining concentrations and transformation products (TPs) of the micropollutants, compound-specific isotope analysis (δ13C and δ15N), sequencing of 16S rRNA gene amplicons and reactive transport modeling. Duplicate laboratory aquifers (160 cm × 80 cm × 7 cm) were fed with stream water and subjected over 140 d to three successive periods of micropollutant exposures as pulse-like (6000 μg L-1) and constant (600 μg L-1) injections under steady-state conditions. Atrazine, terbutryn, S-metolachlor and metalaxyl persisted in both aquifers during all periods (<10 % attenuation). Metformin attenuation (up to 14 %) was only observed from 90 d onwards, suggesting enhanced degradation over time. In contrast, caffeine dissipated during all injection periods (>90 %), agreeing with fast degradation rates (t1/2 < 3 d) in parallel microcosm experiments and detection of TPs (theobromine and xanthine). Significant stable carbon isotope fractionation (Δδ13C ≥ 6.6 ‰) was observed for caffeine in both aquifers, whereas no enrichment in 15N occurred. A concentration dependence of caffeine biotransformation in the aquifers was further suggested by model simulations following Michaelis-Menten kinetics. Changes in bacterial community composition reflected long-term bacterial adaptation to micropollutant exposures. Altogether, the use of an integrative approach can help to understand the interplay of subsurface hydrochemistry, bacterial adaptations and micropollutants biotransformation during stream-groundwater interactions.

Keywords: Bacterial diversity; Biodegradation; CSIA; Micropollutants; Modeling; Stream-groundwater interactions.

MeSH terms

  • Atrazine* / analysis
  • Caffeine / analysis
  • Groundwater* / chemistry
  • Metformin*
  • RNA, Ribosomal, 16S
  • Water / analysis
  • Water Pollutants, Chemical* / analysis

Substances

  • metolachlor
  • Atrazine
  • RNA, Ribosomal, 16S
  • Caffeine
  • Water
  • Metformin
  • Water Pollutants, Chemical