دورية أكاديمية
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Assessing Unconventional Oil and Gas Exposure in the Appalachian Basin: Comparison of Exposure Surrogates and Residential Drinking Water Measurements.

التفاصيل البيبلوغرافية
العنوان: Assessing Unconventional Oil and Gas Exposure in the Appalachian Basin: Comparison of Exposure Surrogates and Residential Drinking Water Measurements.
المؤلفون: Clark CJ; Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States., Xiong B; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States.; University of Minnesota, Department of Civil, Environmental and Geo-Engineering, 500 Pillsbury Dr. SE, Minneapolis, Minnesota 55455, United States., Soriano MA Jr; Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States., Gutchess K; Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States., Siegel HG; Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States., Ryan EC; Tufts University, Department of Public Health and Community Medicine, 136 Harrison Avenue, Boston, Massachusetts 02111, United States., Johnson NP; Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States., Cassell K; Yale School of Public Health, Department of Epidemiology of Microbial Diseases, 60 College Street, New Haven, Connecticut 06510, United States., Elliott EG; Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States.; Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, Massachusetts 02115, USA.; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, United States., Li Y; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States., Cox AJ; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States., Bugher N; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States., Glist L; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States., Brenneis RJ; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States., Sorrentino KM; Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, 1 Church Street, New Haven, Connecticut 06510, United States., Plano J; Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, 1 Church Street, New Haven, Connecticut 06510, United States., Ma X; Yale School of Public Health, Department of Chronic Disease Epidemiology, 60 College Street, New Haven, Connecticut 06510, United States., Warren JL; Yale School of Public Health, Department of Biostatistics, 60 College Street, New Haven, Connecticut 06510, United States., Plata DL; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States., Saiers JE; Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States., Deziel NC; Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States.
المصدر: Environmental science & technology [Environ Sci Technol] 2022 Jan 18; Vol. 56 (2), pp. 1091-1103. Date of Electronic Publication: 2022 Jan 04.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
أسماء مطبوعة: Publication: Washington DC : American Chemical Society
Original Publication: Easton, Pa. : American Chemical Society, c1967-
مواضيع طبية MeSH: Drinking Water* , Groundwater* , Water Pollutants, Chemical*/analysis, Appalachian Region ; Environmental Monitoring/methods ; Oil and Gas Fields
مستخلص: 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.
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معلومات مُعتمدة: F31 ES031441 United States ES NIEHS NIH HHS; T32 ES007020 United States ES NIEHS NIH HHS; T32 CA250803 United States CA NCI NIH HHS; T32 ES007069 United States ES NIEHS NIH HHS; CR839249 United States EPA EPA
فهرسة مساهمة: Keywords: drinking water; exposure assessment; fracking; spatial metrics; spatial surrogates; unconventional oil and gas development
المشرفين على المادة: 0 (Drinking Water)
0 (Water Pollutants, Chemical)
تواريخ الأحداث: Date Created: 20220104 Date Completed: 20220331 Latest Revision: 20240607
رمز التحديث: 20240607
مُعرف محوري في PubMed: PMC10259677
DOI: 10.1021/acs.est.1c05081
PMID: 34982938
قاعدة البيانات: MEDLINE
الوصف
تدمد:1520-5851
DOI:10.1021/acs.est.1c05081