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Assessing Unconventional Oil and Gas Exposure in the Appalachian Basin: Comparison of Exposure Surrogates and Residential Drinking Water Measurements.
Clark, Cassandra J; Xiong, Boya; Soriano, Mario A; Gutchess, Kristina; Siegel, Helen G; Ryan, Emma C; Johnson, Nicholaus P; Cassell, Kelsie; Elliott, Elise G; Li, Yunpo; Cox, Austin J; Bugher, Nicolette; Glist, Lukas; Brenneis, Rebecca J; Sorrentino, Keli M; Plano, Julie; Ma, Xiaomei; Warren, Joshua L; Plata, Desiree L; Saiers, James E; Deziel, Nicole C.
Afiliação
  • 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.
  • Soriano MA; University of Minnesota, Department of Civil, Environmental and Geo-Engineering, 500 Pillsbury Dr. SE, Minneapolis, Minnesota 55455, 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; Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States.
  • Johnson NP; Tufts University, Department of Public Health and Community Medicine, 136 Harrison Avenue, Boston, Massachusetts 02111, United States.
  • Cassell K; Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States.
  • Elliott EG; Yale School of Public Health, Department of Epidemiology of Microbial Diseases, 60 College Street, New Haven, Connecticut 06510, United States.
  • Li Y; Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States.
  • Cox AJ; Harvard T.H. Chan School of Public Health, Department of Environmental Health, Boston, Massachusetts 02115, USA.
  • Bugher N; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, 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; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States.
  • Plano J; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States.
  • Ma X; Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States.
  • Warren JL; Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, 1 Church Street, New Haven, Connecticut 06510, United States.
  • Plata DL; Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, 1 Church Street, New Haven, Connecticut 06510, United States.
  • Saiers JE; Yale School of Public Health, Department of Chronic Disease Epidemiology, 60 College Street, New Haven, Connecticut 06510, United States.
  • Deziel NC; Yale School of Public Health, Department of Biostatistics, 60 College Street, New Haven, Connecticut 06510, United States.
Environ Sci Technol ; 56(2): 1091-1103, 2022 01 18.
Article em En | MEDLINE | ID: mdl-34982938
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Potável / Água Subterrânea País/Região como assunto: America do norte Idioma: En Revista: Environ Sci Technol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Potável / Água Subterrânea País/Região como assunto: America do norte Idioma: En Revista: Environ Sci Technol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos