| Literature DB >> 34982938 |
Cassandra J Clark1, Boya Xiong2,3, Mario A Soriano4, Kristina Gutchess4, Helen G Siegel4, Emma C Ryan5, Nicholaus P Johnson1, Kelsie Cassell6, Elise G Elliott1,7,8, Yunpo Li2, Austin J Cox2, Nicolette Bugher2, Lukas Glist2, Rebecca J Brenneis2, Keli M Sorrentino9, Julie Plano9, Xiaomei Ma10, Joshua L Warren11, Desiree L Plata2, James E Saiers4, Nicole C Deziel1.
Abstract
Health studies report associations between metrics of residential proximity to unconventional oil and gas (UOG) development and adverse health endpoints. We investigated whether exposure through household groundwater is captured by existing metrics and a newly developed metric incorporating groundwater flow paths. We compared metrics with detection frequencies/concentrations of 64 organic and inorganic UOG-related chemicals/groups in residential groundwater from 255 homes (Pennsylvania n = 94 and Ohio n = 161). Twenty-seven chemicals were detected in ≥20% of water samples at concentrations generally below U.S. Environmental Protection Agency standards. In Pennsylvania, two organic chemicals/groups had reduced odds of detection with increasing distance to the nearest well: 1,2-dichloroethene and benzene (Odds Ratio [OR]: 0.46, 95% confidence interval [CI]: 0.23-0.93) and m- and p-xylene (OR: 0.28, 95% CI: 0.10-0.80); results were consistent across metrics. In Ohio, the odds of detecting toluene increased with increasing distance to the nearest well (OR: 1.48, 95% CI: 1.12-1.95), also consistent across metrics. Correlations between inorganic chemicals and metrics were limited (all |ρ| ≤ 0.28). Limited associations between metrics and chemicals may indicate that UOG-related water contamination occurs rarely/episodically, more complex metrics may be needed to capture drinking water exposure, and/or spatial metrics in health studies may better reflect exposure to other stressors.Entities:
Keywords: drinking water; exposure assessment; fracking; spatial metrics; spatial surrogates; unconventional oil and gas development
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Year: 2022 PMID: 34982938 DOI: 10.1021/acs.est.1c05081
Source DB: PubMed Journal: Environ Sci Technol ISSN: 0013-936X Impact factor: 9.028