AI Article Synopsis

  • In Ontario, well owners are responsible for monitoring and maintaining their private drinking water systems, which are linked to higher risks of fecal contamination and public health issues in rural areas.
  • The study focused on characterizing E. coli isolates from private groundwater wells, determining their phylogroups and potential host sources, while considering environmental factors like climate and hydrogeology.
  • Results indicated that subsurface and overland flows were likely contamination pathways, and distinct patterns emerged based on fecal sources, leading to the development of models aimed at understanding contamination mechanisms for better risk assessment and protective measures.

Article Abstract

In Ontario, monitoring, maintenance, and treatment of private drinking systems (e.g. wells) are the responsibility of the well owner. Fecal contamination of drinking water threatens public health, particularly in rural communities which are often fully reliant on unregulated private groundwater as a primary drinking water source. Private well users face a higher risk of acute gastrointestinal illness compared to those served by municipally operated systems (Murphy et al., 2016). Accordingly, the current study sought to characterize the fecal indicator, E. coli, isolated from southeastern Ontario private groundwater wells, including phylogroups and host source. Results were examined in the context of antecedent climate and local hydrogeological setting to elucidate likely contaminant sources and pathways. A total of 737 E. coli isolates from 260 private wells were assigned to phylogroups using the Clermont PCR phylotyping method, with likely host source determined using host-specific Bacteroidales 16S rRNA RT qPCR assays. Multivariate models were developed for the main E. coli phylogroups (A, B1, B2, and D) and all microbial source tracking markers. Models were coupled for interpretation where possible, based on associations between phylogroups and MST markers. Preferential subsurface flow, and to a lesser degree, overland flow, were likely mechanisms of contamination across all models. Distinct temporal associations were found based on the fecal source. Multiple models were developed and will be discussed, in an attempt to elucidate source-specific contamination mechanisms, in support of risk assessment and appropriate protective actions.

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Source
http://dx.doi.org/10.1016/j.envpol.2024.125080DOI Listing

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