1
|
Campbell EJ, Koenig MR, Mooney FA, Clark CJ, González DJX, Deziel NC, Casey JA, Buonocore JJ, Willis MD. A Narrative Review of Spatial-Temporal Data Sources for Estimating Population-Level Exposures to Oil and Gas Development in the United States. Curr Environ Health Rep 2025; 12:21. [PMID: 40263220 DOI: 10.1007/s40572-025-00485-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/09/2025] [Indexed: 04/24/2025]
Abstract
PURPOSE OF REVIEW Oil and gas development is a rapidly expanding industry that may impact population health. However, much of the research to date is conducted state-by-state, partially due to exposure data limitations. New developments related to national-scale oil and gas development data sources offer the opportunity to extend studies beyond single-state analyses. We review the current data options, highlighting their advantages, disadvantages, and ideal use-cases. RECENT FINDINGS Five data sources suitable for national-scale epidemiologic analyses of oil and gas development were identified. Private sector data offer detailed production information but have limited accessibility. Nongovernmental sources are often specialized, focusing on specific aspects like chemical or methane exposure. Government agency data, while typically less detailed, provide useful linkage tools for cross-industry analysis. This review clarifies the strengths and limitations of these sources, facilitating national-level exposure assessment and broadening the geographic reach of oil and gas development-related epidemiology in the U.S.
Collapse
Affiliation(s)
- Erin J Campbell
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Department of Environmental and Occupational Health, George Washington University Milken Institute School of Public Health, Washington, DC, USA
| | - Martha R Koenig
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Fintan A Mooney
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Cassandra J Clark
- Division of Pediatric Epidemiology & Clinical Research, Department of Pediatrics, University of Minnesota School of Medicine, Minneapolis, MN, USA
| | - David J X González
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Nicole C Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Joan A Casey
- Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, WA, USA
| | - Jonathan J Buonocore
- Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA
| | - Mary D Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
| |
Collapse
|
2
|
Faridi S, Hahad O, Khanizadeh M, Rafiee A, Bell ML, Rajagopalan S, Yin H, Münzel T, Nourkami-Tutdibi N, Tutdibi E, Poryo M, Yousefian F, Al-Kindi S, Brook RD, Abdul-Khaliq H, Naddafi K, Hassanvand MS. A systematic review of maternal residential proximity to unconventional oil and Natural gas sites and congenital heart defects in newborns: Recommendations for future research. THE SCIENCE OF THE TOTAL ENVIRONMENT 2025; 967:178762. [PMID: 39946896 DOI: 10.1016/j.scitotenv.2025.178762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2024] [Revised: 02/04/2025] [Accepted: 02/04/2025] [Indexed: 03/05/2025]
Abstract
Various studies indicated that pregnant women living near UONG sites may be more likely to give birth to infants with CHDs due to exposure to air, water, and soil pollution generated by these sites. We systematically searched three English-language databases-PubMed, Scopus, and the Web of Science Core Collection-from their inception until September 21, 2024 to include all types of epidemiological studies that explored the associations between maternal residential proximity to UONG sites and CHDs in the US. We screened a total of 282 unique studies and included six cohort and case-control studies conducted between 1996 and 2017 for evidence synthesis. These studies, conducted in Texas (two studies), Colorado (two), Ohio (one), and Oklahoma (one), encompassed almost 4.5 million births (including 88,638 CHDs cases). All risk estimates were adjusted for socioeconomic status and behavioral factors. Overall, the findings vary significantly across studies in relation to different exposure categories and buffer distances. Four studies reported significant positive associations between proximity to UONG sites and increased odds of CHDs in newborns compared to pregnant women with no recorded exposure to these sites, with adjusted ORs ranging from 1.04 (95 % CI: 1.01-1.07) to 2.62 (95 % CI: 2.48-2.77). The inconsistencies across the included studies make it challenging to pool effect sizes and determine the true impact of these sites on CHD risk in newborns. We also believe that further research is needed worldwide, particularly in regions where these sites are prevalent, as the included studies are limited to the U.S. Our study highlights the need for simple and practical interventions to reduce associated exposures in these communities, as our findings reveal that fetuses of mothers living in proximity to UONG sites are at an increased risk of CHDs.
Collapse
Affiliation(s)
- Sasan Faridi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Omar Hahad
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Mohammad Khanizadeh
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Ata Rafiee
- Department of Medicine, University of Alberta, Edmonton, AB, Canada
| | - Michelle L Bell
- School of the Environment, Yale University, New Haven, CT, USA
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, 11100 Euclid Avenue, Cleveland, OH 44106, USA; School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Hao Yin
- Department of Economics, University of Southern California, Los Angeles, CA 90089, USA
| | - Thomas Münzel
- Department of Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
| | - Nasenien Nourkami-Tutdibi
- Hospital for General Pediatrics and Neonatology, Saarland University Medical Center, Homburg/Saar, Germany
| | - Erol Tutdibi
- Hospital for General Pediatrics and Neonatology, Saarland University Medical Center, Homburg/Saar, Germany
| | - Martin Poryo
- Hospital for General Pediatrics and Neonatology, Saarland University Medical Center, Homburg/Saar, Germany
| | - Fatemeh Yousefian
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Sadeer Al-Kindi
- Division of Cardiovascular Prevention and Wellness, Houston Methodist, Houston, TX, USA; Center for Health and Nature, Houston, TX, USA
| | - Robert D Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine, Wayne State University, Detroit, MI, USA
| | - Hashim Abdul-Khaliq
- Hospital for General Pediatrics and Neonatology, Saarland University Medical Center, Homburg/Saar, Germany
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
3
|
Helmig D, Nobel J, Caputi D, Brown D, Daly RW, Darby LS, Doe PT, Gonzalez O, Greenberg G, Hueber J, Potter K, Schade GW, Simoncic S, Stahli M, Subra W. Elevated airborne radioactivity downwind of a Colorado oil refinery. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2024; 74:920-931. [PMID: 39189887 DOI: 10.1080/10962247.2024.2393194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 07/09/2024] [Accepted: 07/22/2024] [Indexed: 08/28/2024]
Abstract
Airborne radioactivity from fossil fuel production systems is poorly characterized, but a recent study showed elevated ambient levels with proximity to oil and gas production wells. Here, we report year-long, high temporal resolution monitoring results of airborne alpha radioactivity from both radon gas and radon progeny attached to particulates immediately northeast of an oil refinery in Commerce City, Colorado, USA, in an environmental justice community of concern. Gas and particle-associated radioactivity contributed nearly evenly to the total alpha radioactivity. Total radioactivity levels of 30-40 Bq m-3 were 2-3 times higher than background levels (~10-15 Bq m-3) when winds were light and southwesterly, suggesting the refinery as the geographic origin. Furthermore, elevated airborne radioactivity tracked most closely with the light hydrocarbon and natural gas tracer ethane. Thus, the data imply natural gas as the radon emission carrier. Our findings are unique and suggest a need for further investigations of radon emissions from oil and gas infrastructure such as natural gas processing plants, compressor stations, petrochemical plants, and oil refineries that process oil and natural gas from unconventional production.Implications: Regulatory agencies currently do not mandate or conduct monitoring of radioactivity releases and public exposure from petroleum industry air emissions. This study reports elevated radioactivity from radon gas and nonvolatile radon decay products attached to particulate matter, at about 2-3 times above background levels in proximity to Colorado's largest oil refinery. Observations were within an environmental justice community of concern that experiences well above-average exposure to many other harmful atmospheric pollutants, suggesting potential adverse health effects from this cumulative exposure. Our findings offer actionable insights for policymakers, industry stakeholders, and affected communities alike.
Collapse
Affiliation(s)
- Detlev Helmig
- Boulder Atmosphere Innovation Research LLC, Boulder, Colorado, USA
| | | | - Dani Caputi
- Boulder Atmosphere Innovation Research LLC, Boulder, Colorado, USA
- Planet Ozone Meteorological Consulting, Concord, California, USA
| | - David Brown
- Environment and Human Health Inc, Westport, Connecticut, USA
| | - Ryan W Daly
- Boulder Atmosphere Innovation Research LLC, Boulder, Colorado, USA
| | - Lisa S Darby
- Boulder Atmosphere Innovation Research LLC, Boulder, Colorado, USA
- LDWX LLC, Boulder, Colorado, USA
| | | | | | | | - Jacques Hueber
- Boulder Atmosphere Innovation Research LLC, Boulder, Colorado, USA
| | - Kat Potter
- Boulder Atmosphere Innovation Research LLC, Boulder, Colorado, USA
- Kateric Ltd, Longmont, Colorado, USA
| | - Gunnar W Schade
- Atmospheric Sciences, Texas A&M University, College Station, Texas, USA
| | - Susan Simoncic
- Boulder Atmosphere Innovation Research LLC, Boulder, Colorado, USA
- Pitch Roll and Yaw LLC, Boulder, Colorado, USA
| | - Michel Stahli
- Boulder Atmosphere Innovation Research LLC, Boulder, Colorado, USA
| | | |
Collapse
|
4
|
Casey JA, Willis MD. Invited Perspective: Drilling Down into the Mechanisms Linking Oil and Gas Development to Adverse Perinatal Health Outcomes. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:101301. [PMID: 39412280 PMCID: PMC11481932 DOI: 10.1289/ehp15106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 09/04/2024] [Accepted: 09/17/2024] [Indexed: 10/19/2024]
Affiliation(s)
- Joan A. Casey
- Department of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, Washington, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA
| | - Mary D. Willis
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
5
|
Willis MD, Campbell EJ, Selbe S, Koenig MR, Gradus JL, Nillni YI, Casey JA, Deziel NC, Hatch EE, Wesselink AK, Wise LA. Residential Proximity to Oil and Gas Development and Mental Health in a North American Preconception Cohort Study: 2013-2023. Am J Public Health 2024; 114:923-934. [PMID: 38991173 PMCID: PMC11306607 DOI: 10.2105/ajph.2024.307730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/17/2024] [Indexed: 07/13/2024]
Abstract
Objectives. To evaluate associations between oil and gas development (OGD) and mental health using cross-sectional data from a preconception cohort study, Pregnancy Study Online. Methods. We analyzed baseline data from a prospective cohort of US and Canadian women aged 21 to 45 years who were attempting conception without fertility treatment (2013-2023). We developed residential proximity measures for active OGD during preconception, including distance from nearest site. At baseline, participants completed validated scales for perceived stress (10-item Perceived Stress Scale, PSS) and depressive symptoms (Major Depression Inventory, MDI) and reported psychotropic medication use. We used log-binomial regression and restricted cubic splines to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs). Results. Among 5725 participants across 37 states and provinces, residence at 2 km versus 20 to 50 km of active OGD was associated with moderate to high perceived stress (PSS ≥ 20 vs < 20: PR = 1.08; 95% CI = 0.98, 1.18), moderate to severe depressive symptoms (MDI ≥ 20 vs < 20: PR = 1.27; 95% CI = 1.11, 1.45), and psychotropic medication use (PR = 1.11; 95% CI = 0.97, 1.28). Conclusions. Among North American pregnancy planners, closer proximity to OGD was associated with adverse preconception mental health symptomatology. (Am J Public Health. 2024;114(9):923-934. https://doi.org/10.2105/AJPH.2024.307730).
Collapse
Affiliation(s)
- Mary D Willis
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Erin J Campbell
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Sophie Selbe
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Martha R Koenig
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Jaimie L Gradus
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Yael I Nillni
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Joan A Casey
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Nicole C Deziel
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Elizabeth E Hatch
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Amelia K Wesselink
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| | - Lauren A Wise
- Mary D. Willis, Erin J. Campbell, Sophie Selbe, Martha R. Koenig, Jaimie L. Gradus, Elizabeth Hatch, Amelia K. Wesselink, and Lauren A. Wise are with the Department of Epidemiology, Boston University School of Public Health, Boston, MA. Yael I. Nillni is with the Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston. Joan A. Casey is with the Department of Environmental Health and Occupational Health Sciences, School of Public Health, University of Washington, Seattle. Nicole C. Deziel is with the Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT
| |
Collapse
|
6
|
Tian Y, Qi Y, Chen S, Qiao Z, Han H, Chen Z, Wang H, Zhang Y, Chen H, Wang L, Gong X, Chen Y. Hydrogen bond recombination regulated by strongly electronegative functional groups in demulsifiers for efficient separation of oil-water emulsions. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132525. [PMID: 37716267 DOI: 10.1016/j.jhazmat.2023.132525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 08/23/2023] [Accepted: 09/09/2023] [Indexed: 09/18/2023]
Abstract
Tight oil extraction and offshore oil spills generate large amounts of oil-water emulsions, causing serious soil and marine pollution. In such oil-water emulsions, the resin molecules are bound by π-π stacking and bind to interfacial water molecules via hydrogen bonds, which impede the aggregation between water droplets and thereby the separation of the emulsion. In this study, strongly electronegative oxygen atoms (in ethylene oxide, propylene oxide, esters, and hydroxyl groups) were introduced through poly(propylene glycol)-block-polyether and esterification with acrylic acid to attract negative charges in order to form electron-rich regions and enhance interfacial hydrogen bond recombination. The potential distribution in the demulsifier molecules and their space occupancy were regulated by the polymerization reaction to destroy the π-π stacking interaction between resin molecules. The results show that the binding energies (binding free energy and hydrogen bonding energy) of oxygen-containing demulsifier molecules with water molecules were higher than those of resin molecules with water molecules, resulting in the fission of the hydrogen bonds between resin and water molecules. The introduction of demulsifier molecules that occupied large interfacial space reduced the binding energy between resin molecules from -2176.06 to -110.00 kJ·mol-1. Noteworthy, the binding energy between demulsifier molecules and resin molecules was -1076.36 kJ·mol-1 lower than that between resin molecules (-110.00 kJ·mol-1), indicating the adsorption of the surrounding interfacial resin molecules by the demulsifier molecules and destruction of the π-π stacking between them, thus favoring the collapse of the interfacial structure of the oil-water emulsion and achieving its separation. This study provides important theoretical support for the treatment of oil-contaminated soil and offshore oil spill pollution.
Collapse
Affiliation(s)
- Yuxuan Tian
- Provincial Key Laboratory of Oil & Gas Chemical Technology, Northeast Petroleum University, Daqing 163318, PR China
| | - Yaming Qi
- Provincial Key Laboratory of Oil & Gas Chemical Technology, Northeast Petroleum University, Daqing 163318, PR China; óDesign branch of PetroChina (Xinjiang) Petroleum Engineering Co., Ltd, Petro China, 834000 Kelamayi, Xinjiang, PR China
| | - Sijia Chen
- PetroChina Petrochemical Research Institute, Daqing Chemical Engineering Research Center, Daqing 163714, PR China
| | - Zhihua Qiao
- State Key Laboratory of Separation Membranes and Membrane Processes, Tiangong University, Tianjin 300387 China
| | - Hongjing Han
- Provincial Key Laboratory of Oil & Gas Chemical Technology, Northeast Petroleum University, Daqing 163318, PR China.
| | - Zherui Chen
- School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, PR China
| | - Haiying Wang
- Provincial Key Laboratory of Oil & Gas Chemical Technology, Northeast Petroleum University, Daqing 163318, PR China
| | - Yanan Zhang
- Provincial Key Laboratory of Oil & Gas Chemical Technology, Northeast Petroleum University, Daqing 163318, PR China
| | - Huiying Chen
- Provincial Key Laboratory of Oil & Gas Chemical Technology, Northeast Petroleum University, Daqing 163318, PR China
| | - Leilei Wang
- Provincial Key Laboratory of Oil & Gas Chemical Technology, Northeast Petroleum University, Daqing 163318, PR China
| | - Xuzhong Gong
- School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China.
| | - Yanguang Chen
- Provincial Key Laboratory of Oil & Gas Chemical Technology, Northeast Petroleum University, Daqing 163318, PR China.
| |
Collapse
|
7
|
Willis MD, Cushing LJ, Buonocore JJ, Deziel NC, Casey JA. It's electric! An environmental equity perspective on the lifecycle of our energy sources. Environ Epidemiol 2023; 7:e246. [PMID: 37064423 PMCID: PMC10097546 DOI: 10.1097/ee9.0000000000000246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 02/23/2023] [Indexed: 04/05/2023] Open
Abstract
Energy policy decisions are driven primarily by economic and reliability considerations, with limited consideration given to public health, environmental justice, and climate change. Moreover, epidemiologic studies relevant for public policy typically focus on immediate public health implications of activities related to energy procurement and generation, considering less so health equity or the longer-term health consequences of climate change attributable to an energy source. A more integrated, collective consideration of these three domains can provide more robust guidance to policymakers, communities, and individuals. Here, we illustrate how these domains can be evaluated with respect to natural gas as an energy source. Our process began with a detailed overview of all relevant steps in the process of extracting, producing, and consuming natural gas. We synthesized existing epidemiologic and complementary evidence of how these processes impact public health, environmental justice, and climate change. We conclude that, in certain domains, natural gas looks beneficial (e.g., economically for some), but when considered more expansively, through the life cycle of natural gas and joint lenses of public health, environmental justice, and climate change, natural gas is rendered an undesirable energy source in the United States. A holistic climate health equity framework can inform how we value and deploy different energy sources in the service of public health.
Collapse
Affiliation(s)
- Mary D. Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon
| | - Lara J. Cushing
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California
| | - Jonathan J. Buonocore
- Center for Climate, Health, and the Global Environment, T.H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts
- Department of Environmental Health, School of Public Health, Boston University, Boston, Massachusetts
| | - Nicole C. Deziel
- Department of Environmental Health Sciences, School of Public Health, Yale University, New Haven, Connecticut
| | - Joan A. Casey
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington
| |
Collapse
|
8
|
Wang CQ, Chen S, Huang DM, Huang QC, Tu MJ, Wu K, Liu YY. Human carcinogenic risk analysis and utilization of shale gas water-based drilling cuttings in road materials. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:12741-12768. [PMID: 36114966 PMCID: PMC9483462 DOI: 10.1007/s11356-022-23006-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/08/2022] [Indexed: 06/15/2023]
Abstract
Water-based drilling cuttings (WDC) generated during shale gas development will endanger human health and ecological security. The modern analytical techniques are used to analyze the organic pollutants in WDC, and the human health and ecological security risks of harmful pollutants in WDC under specific scenarios are evaluated. The results showed that the content of organic pollutants in WDC was evaluated by human health and safety risk assessment. The comprehensive carcinogenic risks of all exposure pathways of single pollutant benzo(a)anthracene, benzo(a)pyrene, benzo(k)fluoranthene, and indeno(1,2,3-cd)pyrene were acceptable. However, the cumulative carcinogenic risk of exposure to dibenzo(a,h)anthracene particles via skin exposure was not acceptable. It was considered that only dibenzo(a,h)anthracene had carcinogenic effect, and the risk control limit of dibenzo(a,h)anthracene in WDC was 1.8700 mg/kg by calculation. As well as, the "WDC-cement" gel composite structure was deeply analyzed, and the physical and chemical properties and mechanism of organic pollutants in cement solidified WDC were analyzed, which provided theoretical support for the study of WDC pavement cushion formula. Based on the above conclusions and combined with the actual site, by studying and adjusting the formula of WDC pavement cushion, the WDC pavement cushion was finally designed by 6% cement + 50% WDC + 44% crushed stone. The 7d unconfined compressive strength met the requirements of the Chinese standard "Technical Guidelines for Construction of Highway Roadbases" (JTG/T F20-2015). Also, the process route of WDC as road cushion product was sampled and analyzed. In addition, the leaching concentration of main pollutants all met the relevant standards of China. Therefore, this study can provide a favorable way for the efficient, safe, and environmentally friendly utilization of WDC, and ensure the ecological environment safety and human health safety of WDC in resource utilization.
Collapse
Affiliation(s)
- Chao-Qiang Wang
- School of Material Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China
- Chongqing Haopan Energy Saving Technology Co., Ltd, Chongqing, 401329, China
- Chongqing Institute of Modern Construction Industry Development, Chongqing, 400066, China
| | - Shen Chen
- School of Civil Engineering, Chongqing Jiaotong University, Chongqing, 400074, China
| | - De-Ming Huang
- School of Material Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China
| | - Qi-Cong Huang
- Chongqing Institute of Modern Construction Industry Development, Chongqing, 400066, China
| | - Min-Jie Tu
- CSCEC Strait Construction and Development Co., Ltd, Fuzhou, 350015, China
| | - Kai Wu
- Key Laboratory of Advanced Civil Engineering Materials of Ministry of Education, School of Materials Science and Engineering, Tongji University, Shanghai, 201804, China.
| | - Yan-Yan Liu
- School of Material Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China
| |
Collapse
|
9
|
Willis MD, Carozza SE, Hystad P. Congenital anomalies associated with oil and gas development and resource extraction: a population-based retrospective cohort study in Texas. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2023; 33:84-93. [PMID: 36460921 PMCID: PMC9852077 DOI: 10.1038/s41370-022-00505-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 05/02/2023]
Abstract
BACKGROUND Oil and gas extraction-related activities produce air and water pollution that contains known and suspected teratogens. To date, health impacts of in utero exposure to these activities is largely unknown. OBJECTIVE We investigated associations between in utero exposure to oil and gas extraction activity in Texas, one of the highest producers of oil and gas, and congenital anomalies. METHODS We created a population-based birth cohort between 1999 and 2009 with full maternal address at delivery and linked to the statewide congenital anomaly surveillance system (n = 2,234,138 births, 86,315 cases). We examined extraction-related exposures using tertiles of inverse distance-squared weighting within 5 km for drilling site count, gas production, oil production, and produced water. In adjusted logistic regression models, we calculated odds of any congenital anomaly and 10 specific organ sites using two comparison groups: 1) 5 km of future drilling sites that are not yet operating (a priori main models), and 2) 5-10 km of an active well. RESULTS Using the temporal comparison group, we find increased odds of any congenital anomaly in the highest tertile exposure group for site count (OR: 1.25; 95% CI: 1.21, 1.30), oil production (OR: 1.08; 95% CI: 1.04, 1.12), gas production (1.20; 95% CI: 1.17, 1.23), and produced water (OR: 1.17; 95% CI: 1.14, 1.20). However, associations did not follow a consistent exposure-response pattern across tertiles. Associations are highly attenuated, but still increased, with the spatial comparison group in the highest tertile exposure group. Cardiac and circulatory defects are strongly and consistently associated with all exposure metrics. SIGNIFICANCE Increased odds of congenital anomalies, particularly cardiac and circulatory defects, were associated with exposures related to oil and gas extraction in this large population-based study. Future research is needed to confirm findings, examine specific exposure pathways, and identify potential avenues to reduce exposures among local populations. IMPACT About 5% of the U.S. population (~17.6 million people) resides within 1.6 km of an active oil or gas extraction site, yet the influence of this industry on population health is not fully understood. In this analysis, we examined associations between oil and gas extraction-related exposures and congenital anomalies by organ site using birth certificate and congenital anomaly surveillance data in Texas (1999-2009). Increased odds of congenital anomalies, particularly cardiac and circulatory defects, were associated with exposures related to oil and gas extraction in this large population-based study. Future research is needed to confirm these findings.
Collapse
Affiliation(s)
- Mary D Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA.
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA.
| | - Susan E Carozza
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| |
Collapse
|
10
|
Forster F, Herrera R, Hoopmann M, Kieschke J, Deitermann B, Radon K. Residential proximity to oil and gas production sites and hematologic malignancies: A case-control study. Am J Ind Med 2022; 65:985-993. [PMID: 36250627 DOI: 10.1002/ajim.23434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/29/2022] [Accepted: 09/29/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND We investigated the association between residential proximity to oil and gas production sites and hematologic malignancies, due to a cancer cluster in the German state of Lower Saxony. METHODS A registry-based case-control study was conducted including 3978 cases of hematologic malignancies diagnosed within 2013-2016 and 15,912 frequency-matched controls randomly drawn by population registries. Residential proximity to 5333 oil and gas production sites at the time of diagnosis was calculated. Unconditional logistic regression models were used to estimate the association between living within 1 km of any exposure site and developing a hematologic malignancy. Models were adjusted for matching variables sex, age group, district, and year of diagnosis as well as for proximity to main streets and to agricultural land. RESULTS We found no association between the development of hematologic malignancies and the proximity to all oil and gas production sites (odds ratio: 0.97; 95% confidence interval: 0.85, 1.11). Focusing on gas production sites increased the odds of developing hematologic cancer (odds ratio: 1.19; 95% confidence interval: 0.97, 1.45). In stratified analyses, associations were stronger in women and for acute myeloblastic leukemia. We also found an association in the district where the initial cluster occurred. CONCLUSIONS Our results suggest that residential proximity to oil and gas production is not a risk factor for all hematologic malignancies in general. Sporadic and past exposures are the most likely scenarios for mechanisms involving oil and gas production, leading to increased risk for certain subtypes of cancer in certain populations.
Collapse
Affiliation(s)
- Felix Forster
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Ronald Herrera
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Michael Hoopmann
- Governmental Institute of Public Health of Lower Saxony, Hanover, Germany
| | | | | | - Katja Radon
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
| |
Collapse
|
11
|
Clark CJ, Johnson NP, Soriano M, Warren JL, Sorrentino KM, Kadan-Lottick NS, Saiers JE, Ma X, Deziel NC. Unconventional Oil and Gas Development Exposure and Risk of Childhood Acute Lymphoblastic Leukemia: A Case-Control Study in Pennsylvania, 2009-2017. ENVIRONMENTAL HEALTH PERSPECTIVES 2022; 130:87001. [PMID: 35975995 PMCID: PMC9383266 DOI: 10.1289/ehp11092] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 06/15/2022] [Accepted: 06/29/2022] [Indexed: 05/19/2023]
Abstract
BACKGROUND Unconventional oil and gas development (UOGD) releases chemicals that have been linked to cancer and childhood leukemia. Studies of UOGD exposure and childhood leukemia are extremely limited. OBJECTIVE The objective of this study was to evaluate potential associations between residential proximity to UOGD and risk of acute lymphoblastic leukemia (ALL), the most common form of childhood leukemia, in a large regional sample using UOGD-specific metrics, including a novel metric to represent the water pathway. METHODS We conducted a registry-based case-control study of 405 children ages 2-7 y diagnosed with ALL in Pennsylvania between 2009-2017, and 2,080 controls matched on birth year. We used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between residential proximity to UOGD (including a new water pathway-specific proximity metric) and ALL in two exposure windows: a primary window (3 months preconception to 1 y prior to diagnosis/reference date) and a perinatal window (preconception to birth). RESULTS Children with at least one UOG well within 2 km of their birth residence during the primary window had 1.98 times the odds of developing ALL in comparison with those with no UOG wells [95% confidence interval (CI): 1.06, 3.69]. Children with at least one vs. no UOG wells within 2 km during the perinatal window had 2.80 times the odds of developing ALL (95% CI: 1.11, 7.05). These relationships were slightly attenuated after adjusting for maternal race and socio-economic status [odds ratio (OR) = 1.74 (95% CI: 0.93, 3.27) and OR = 2.35 (95% CI: 0.93, 5.95)], respectively). The ORs produced by models using the water pathway-specific metric were similar in magnitude to the aggregate metric. DISCUSSION Our study including a novel UOGD metric found UOGD to be a risk factor for childhood ALL. This work adds to mounting evidence of UOGD's impacts on children's health, providing additional support for limiting UOGD near residences. https://doi.org/10.1289/EHP11092.
Collapse
Affiliation(s)
- Cassandra J. Clark
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Nicholaus P. Johnson
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, New Haven, Connecticut, USA
| | - Mario Soriano
- Yale School of the Environment, Yale University, New Haven, Connecticut, USA
| | - Joshua L. Warren
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Keli M. Sorrentino
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, New Haven, Connecticut, USA
| | - Nina S. Kadan-Lottick
- Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia, USA
| | - James E. Saiers
- Yale School of the Environment, Yale University, New Haven, Connecticut, USA
| | - Xiaomei Ma
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Nicole C. Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, New Haven, Connecticut, USA
| |
Collapse
|
12
|
Proximity and density of unconventional natural gas wells and mental illness and substance use among pregnant individuals: An exploratory study in Canada. Int J Hyg Environ Health 2022; 242:113962. [DOI: 10.1016/j.ijheh.2022.113962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 02/24/2022] [Accepted: 03/12/2022] [Indexed: 11/23/2022]
|
13
|
The effects of oil sands process-affected water naphthenic acid fraction components on GDF15 secretion in extravillous trophoblast cells. Toxicol Appl Pharmacol 2022; 441:115970. [DOI: 10.1016/j.taap.2022.115970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 02/23/2022] [Accepted: 03/01/2022] [Indexed: 11/21/2022]
|
14
|
Li L, Dominici F, Blomberg AJ, Bargagli-Stoffi FJ, Schwartz JD, Coull BA, Spengler JD, Wei Y, Lawrence J, Koutrakis P. Exposure to Unconventional Oil and Gas Development and All-cause Mortality in Medicare Beneficiaries. NATURE ENERGY 2022; 7:177-185. [PMID: 35425643 PMCID: PMC9004666 DOI: 10.1038/s41560-021-00970-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 12/08/2021] [Indexed: 05/28/2023]
Abstract
Little is known about whether exposure to unconventional oil and gas development is associated with higher mortality risks in the elderly and whether related air pollutants are exposure pathways. We studied a cohort of 15,198,496 Medicare beneficiaries (136,215,059 person-years) in all major U.S. unconventional exploration regions from 2001 to 2015. We gathered data from records of more than 2.5 million oil and gas wells. For each beneficiary's ZIP code of residence and year in the cohort, we calculated a proximity-based and a downwind-based pollutant exposure. We analyzed the data using two methods: Cox proportional hazards model and Difference-in-Differences. We found evidence of statistically significant higher mortality risk associated with living in proximity to and downwind of unconventional oil and gas wells. Our results suggest that primary air pollutants sourced from unconventional oil and gas exploration can be a major exposure pathway with adverse health effects in the elderly.
Collapse
Affiliation(s)
- Longxiang Li
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Annelise J. Blomberg
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | | | - Joel D. Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Brent A. Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - John D. Spengler
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yaguang Wei
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joy Lawrence
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
15
|
Clark CJ, Xiong B, Soriano MA, Gutchess K, Siegel HG, Ryan EC, Johnson NP, Cassell K, Elliott EG, Li Y, Cox AJ, Bugher N, Glist L, Brenneis RJ, Sorrentino KM, Plano J, Ma X, Warren JL, Plata DL, Saiers JE, Deziel NC. Assessing Unconventional Oil and Gas Exposure in the Appalachian Basin: Comparison of Exposure Surrogates and Residential Drinking Water Measurements. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:1091-1103. [PMID: 34982938 PMCID: PMC10259677 DOI: 10.1021/acs.est.1c05081] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
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.
Collapse
Affiliation(s)
- Cassandra J Clark
- Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States
| | - Boya Xiong
- 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
| | - Mario A Soriano
- Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States
| | - Kristina Gutchess
- Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States
| | - Helen G Siegel
- Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States
| | - Emma C Ryan
- Tufts University, Department of Public Health and Community Medicine, 136 Harrison Avenue, Boston, Massachusetts 02111, United States
| | - Nicholaus P Johnson
- Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States
| | - Kelsie Cassell
- Yale School of Public Health, Department of Epidemiology of Microbial Diseases, 60 College Street, New Haven, Connecticut 06510, United States
| | - Elise G Elliott
- 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
| | - Yunpo Li
- Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States
| | - Austin J Cox
- Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States
| | - Nicolette Bugher
- Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States
| | - Lukas Glist
- Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States
| | - Rebecca J Brenneis
- Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States
| | - Keli M Sorrentino
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, 1 Church Street, New Haven, Connecticut 06510, United States
| | - Julie Plano
- Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University Schools of Public Health and Medicine, 1 Church Street, New Haven, Connecticut 06510, United States
| | - Xiaomei Ma
- Yale School of Public Health, Department of Chronic Disease Epidemiology, 60 College Street, New Haven, Connecticut 06510, United States
| | - Joshua L Warren
- Yale School of Public Health, Department of Biostatistics, 60 College Street, New Haven, Connecticut 06510, United States
| | - Desiree L Plata
- Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, United States
| | - James E Saiers
- Yale School of the Environment, 195 Prospect Street, New Haven, Connecticut 06511, United States
| | - Nicole C Deziel
- Yale School of Public Health, Department of Environmental Health Sciences, 60 College Street, New Haven, Connecticut 06510, United States
| |
Collapse
|
16
|
Li L, Blomberg AJ, Lawrence J, Réquia WJ, Wei Y, Liu M, Peralta AA, Koutrakis P. A spatiotemporal ensemble model to predict gross beta particulate radioactivity across the contiguous United States. ENVIRONMENT INTERNATIONAL 2021; 156:106643. [PMID: 34020300 PMCID: PMC9384849 DOI: 10.1016/j.envint.2021.106643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/23/2021] [Accepted: 05/10/2021] [Indexed: 06/12/2023]
Abstract
Particulate radioactivity, a characteristic of particulate matter, is primarily determined by the abundance of radionuclides that are bound to airborne particulates. Exposure to high levels of particulate radioactivity has been associated with negative health outcomes. However, there are currently no spatially and temporally resolved particulate radioactivity data for exposure assessment purposes. We estimated the monthly distributions of gross beta particulate radioactivity across the contiguous United States from 2001 to 2017 with a spatial resolution of 32 km, via a multi-stage ensemble-based model. Particulate radioactivity was measured at 129 RadNet monitors across the contiguous U.S. In stage one, we built 264 base learning models using six methods, then selected nine base models that provide different predictions. In stage two, we used a non-negative geographically and temporally weighted regression method to aggregate the selected base learner predictions based on their local performance. The results of block cross-validation analysis suggested that the non-negative geographically and temporally weighted regression ensemble learning model outperformed all base learning model with the smallest rooted mean square error (0.094 mBq/m3). Our model provided an accurate estimation of particulate radioactivity, thus can be used in future health studies.
Collapse
Affiliation(s)
- Longxiang Li
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02114, USA.
| | - Annelise J Blomberg
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02114, USA; Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden
| | - Joy Lawrence
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02114, USA
| | - Weeberb J Réquia
- School of Public Policy and Government, Fundação Getúlio Vargas Brasília, Distrito Federal, Brazil
| | - Yaguang Wei
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02114, USA
| | - Man Liu
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02114, USA
| | - Adjani A Peralta
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02114, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA 02114, USA
| |
Collapse
|
17
|
Deziel NC. Invited Perspective: Oil and Gas Development and Adverse Birth Outcomes: What More Do We Need to Know? ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:71301. [PMID: 34287014 PMCID: PMC8312483 DOI: 10.1289/ehp9715] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Affiliation(s)
- Nicole C. Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| |
Collapse
|
18
|
Alahmad B, Khraishah H. Unconventional Natural Gas Development and Heart Failure: Accumulating Epidemiological Evidence. J Am Coll Cardiol 2020; 76:2875-2877. [PMID: 33303077 DOI: 10.1016/j.jacc.2020.10.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 10/19/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Barrak Alahmad
- Environmental Health Department, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
| | - Haitham Khraishah
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|