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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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [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).
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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
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Buckley L, Arter CA, Willis MD, Geddes JA, Rick C, Kinney PL, Arunachalam S, Buonocore JJ, Levy JI. A comparison of population-level exposure and equity tradeoffs across strategies to reduce fine particulate matter emissions from transportation sources in the northeastern US. ENVIRONMENTAL RESEARCH 2024; 262:119791. [PMID: 39151555 DOI: 10.1016/j.envres.2024.119791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/05/2024] [Accepted: 08/12/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND Many climate mitigation policies to reduce transportation emissions have public health benefits related to ambient air pollution. However, few health analyses consider the equity implications of alternative policies. Equity can be conceptualized in many different ways that may be relevant to communities, decision-makers, and other stakeholders. OBJECTIVES To evaluate alternative transportation emissions reduction scenarios across the northeastern United States considering population exposure reductions and multiple equity constructs. METHODS We developed four quantitative indicators reflecting equity constructs that aligned with stakeholder perspectives, including racial/ethnic exposure inequities, proportion of benefits in environmental justice communities, distribution of benefits among participating states, and rural/urban share of benefits. We analyzed numerous transportation emissions reduction scenarios for directly emitted fine particulate matter (primary PM2.5) covering 12 Northeast states and the District of Columbia. We used the Community Multiscale Air Quality model with the decoupled direct method to estimate the reduction in population-weighted primary PM2.5 exposure and the impact on equity for each scenario. RESULTS Scenarios that yielded greater reductions in population-weighted primary PM2.5 exposure generally emphasized emissions reductions in urban areas or states with large urban centers, with a more than threefold difference in benefits across scenarios. The higher exposure-benefit scenarios typically also had greater reductions in racial/ethnic exposure inequities but led to higher between-state or rural/urban inequality. Scenarios that targeted uniform percentage emission reductions from light or heavy-duty trucks best addressed rural/urban inequalities but led to the smallest reductions in racial/ethnic inequity. CONCLUSION There are intrinsic tradeoffs among equity constructs, where focusing resources on distributing benefits across states or between urban and rural populations could come at the expense of less reduction in racial/ethnic exposure inequities or in environmental justice communities. Future health benefits analyses should incorporate multiple equity indicators that reflect different stakeholder perspectives and articulate the underlying constructs and tradeoffs.
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Affiliation(s)
- Laura Buckley
- Department of Environmental Health, School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02218, USA.
| | - Calvin A Arter
- Institute for the Environment, The University of North Carolina, Chapel Hill, NC, USA
| | - Mary D Willis
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
| | - Jeffrey A Geddes
- Department of Earth and Environment, Boston University Boston, MA, USA
| | | | - Patrick L Kinney
- Department of Environmental Health, School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02218, USA
| | - Saravanan Arunachalam
- Institute for the Environment, The University of North Carolina, Chapel Hill, NC, USA
| | - Jonathan J Buonocore
- Department of Environmental Health, School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02218, USA
| | - Jonathan I Levy
- Department of Environmental Health, School of Public Health, Boston University, 715 Albany Street, Boston, MA, 02218, USA
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Lieberman-Cribbin W, Fang X, Morello-Frosch R, Gonzalez DJ, Hill E, Deziel NC, Buonocore JJ, Casey JA. Multiple Dimensions of Environmental Justice and Oil and Gas Development in Pennsylvania. ENVIRONMENTAL JUSTICE (PRINT) 2024; 17:31-44. [PMID: 38389752 PMCID: PMC10880506 DOI: 10.1089/env.2022.0041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Background Community socioeconomic deprivation (CSD) may be related to higher oil and natural gas development (OGD) exposure. We tested for distributive and benefit-sharing environmental injustice in Pennsylvania's Marcellus Shale by examining (1) whether OGD and waste disposal occurred disproportionately in more deprived communities and (2) discordance between the location of land leased for OGD and where oil and gas rights owners resided. Materials and Methods Analyses took place at the county subdivision level and considered OGD wells, waste disposal, and land lease agreement locations from 2005 to 2019. Using 2005-2009 American Community Survey data, we created a CSD index relevant to community vulnerability in suburban/rural areas. Results In adjusted regression models accounting for spatial dependence, we observed no association between the CSD index and conventional or unconventional drilled well presence. However, a higher CSD index was linearly associated with odds of a subdivision having an OGD waste disposal site and receiving a larger volume of waste. A higher percentage of oil and gas rights owners lived in the same county subdivision as leased land when the community was least versus most deprived (66% vs. 56% in same county subdivision), suggesting that individuals in more deprived communities were less likely to financially benefit from OGD exposure. Discussion and Conclusions We observed distributive environmental injustice with respect to well waste disposal and benefit-sharing environmental injustice related to oil and rights owner's residential locations across Pennsylvania's Marcellus Shale. These results add evidence of a disparity between exposure and benefits resulting from OGD.
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Affiliation(s)
- Wil Lieberman-Cribbin
- Mr. Wil Lieberman-Cribbin is a doctoral student at Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, USA
| | - Xin Fang
- Ms. Xin Fang is a Research Assistant at Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, USA
| | - Rachel Morello-Frosch
- Dr. Rachel Morello-Frosch is a Professor at Department of Environmental Science, Policy and Management & School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - David J.X. Gonzalez
- Dr. David J.X. Gonzalez is a postdoctoral fellow at Department of Environmental Science, Policy and Management & School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - Elaine Hill
- Dr. Elaine Hill is an Associate Professor at Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Nicole C. Deziel
- Dr. Nicole C. Deziel is an Associate Professor at Department of Environmental Health Sciences, Yale University School of Public Health, New Haven, Connecticut, USA
| | - Jonathan J. Buonocore
- Dr. Jonathan J. Buonocore is a Research Associate at Center for Climate, Health, and the Global Environment, Harvard University T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Joan A. Casey
- Dr. Joan A. Casey is an Assistant Professor at Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, USA
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Malin SA, Mayer A, Hazboun S. Whose Future, Whose Security?: Unconventional Oil and Gas Extraction and the Economic Vulnerability and Forced Participation of Small-scale Property Owners. RESOURCES POLICY 2023; 86:104197. [PMID: 38883271 PMCID: PMC11173225 DOI: 10.1016/j.resourpol.2023.104197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Since the 'shale revolution' of the late 2000s, unconventional oil and gas extraction (UOGE) has been hailed by many as a boon for local and regional economies, workers, and property owners. While energy social science has documented many realities that counter this narrative - natural resource dependent economies, 'boom and bust' cycles of the energy industry, and 'resource curse'- there is less research examining economic impacts of UOGE for small-scale property owners. While some large-scale property owners lease their land, minerals, or water rights to oil and gas companies in exchange for royalties, other property owners are not able or do not wish to do so. Yet, nearby UOGE may negatively impact property values and thus threaten people's sense of economic stability. Several legal mechanisms - forced pooling, split estate, and rule of capture - significantly restrict the rights of many property owners while privileging other property rights. While property ownership represents a privileged status, it is the largest investment many Americans will make and is relied upon for retirement planning, financial stability, and transfer of generational wealth. Yet, despite the importance of property ownership, particularly home ownership, little is known about how proximity to oil and gas development impacts small-scale property owners. This paper analyzes how UOGE impacts property owners' sense of economic precarity. We conducted surveys of hundreds of affected households and interviews with 66 property owners in two Colorado towns that have experienced heavy UOGE. We find that the current regulatory regimes disempower small-scale property owners, create economic vulnerability, and ultimately privilege property rights of mineral owners and operators over others - creating uncompensated losses for small-scale property owners. We explore important implications, including the need for more responsive and community-based governance processes.
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Affiliation(s)
- Stephanie A. Malin
- Department of Sociology, Colorado State University, Fort Collins, CO, USA
| | - Adam Mayer
- Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, USA
| | - Shawn Hazboun
- School of Public Policy, Oregon State University, Corvallis, OR, USA
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Casey JA, Daouda M, Babadi RS, Do V, Flores NM, Berzansky I, González DJ, Van Horne YO, James-Todd T. Methods in Public Health Environmental Justice Research: a Scoping Review from 2018 to 2021. Curr Environ Health Rep 2023; 10:312-336. [PMID: 37581863 PMCID: PMC10504232 DOI: 10.1007/s40572-023-00406-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2023] [Indexed: 08/16/2023]
Abstract
PURPOSE OF REVIEW The volume of public health environmental justice (EJ) research produced by academic institutions increased through 2022. However, the methods used for evaluating EJ in exposure science and epidemiologic studies have not been catalogued. Here, we completed a scoping review of EJ studies published in 19 environmental science and epidemiologic journals from 2018 to 2021 to summarize research types, frameworks, and methods. RECENT FINDINGS We identified 402 articles that included populations with health disparities as a part of EJ research question and met other inclusion criteria. Most studies (60%) evaluated EJ questions related to socioeconomic status (SES) or race/ethnicity. EJ studies took place in 69 countries, led by the US (n = 246 [61%]). Only 50% of studies explicitly described a theoretical EJ framework in the background, methods, or discussion and just 10% explicitly stated a framework in all three sections. Among exposure studies, the most common area-level exposure was air pollution (40%), whereas chemicals predominated personal exposure studies (35%). Overall, the most common method used for exposure-only EJ analyses was main effect regression modeling (50%); for epidemiologic studies the most common method was effect modification (58%), where an analysis evaluated a health disparity variable as an effect modifier. Based on the results of this scoping review, current methods in public health EJ studies could be bolstered by integrating expertise from other fields (e.g., sociology), conducting community-based participatory research and intervention studies, and using more rigorous, theory-based, and solution-oriented statistical research methods.
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Affiliation(s)
- Joan A. Casey
- University of Washington School of Public Health, Seattle, WA USA
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Misbath Daouda
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Ryan S. Babadi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
| | - Vivian Do
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Nina M. Flores
- Columbia University Mailman School of Public Health, New York, NY USA
| | - Isa Berzansky
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
| | - David J.X. González
- Department of Environmental Science, Policy & Management and School of Public Health, University of California, Berkeley, Berkeley, CA 94720 USA
| | | | - Tamarra James-Todd
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, USA
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Zirogiannis N, Byrne A, Hollingsworth AJ, Konisky DM. Polluting under the Radar: Emissions, Inequality, and Concrete Batch Plants in Houston. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:11410-11419. [PMID: 37491207 DOI: 10.1021/acs.est.3c04412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Small industrial sources collectively release large amounts of pollution, including particulate matter (PM) that contributes to air quality problems in the United States and elsewhere. We study one such type of industrial facility, concrete batch plants, and analyze PM emissions and siting patterns of 131 plants located in Harris County, Texas. We find that concrete batch plants in Harris County are collectively a major pollution source, contributing between 38 and 111 tons of primary PM2.5 emissions (between 26%-76% of PM2.5 from the median Texas oil refinery) and between 109 and 493 tons of primary PM10 emissions (between 64%-290% of PM10 from the median refinery). Estimates from an integrated assessment model suggest that health damages from the PM2.5 emissions alone amount to $29 million annually, reflecting two additional premature deaths per year. We further find that concrete batch plants in Harris County are disproportionately located in census tracts with more low-income, Hispanic, and Black populations, thereby raising important environmental justice questions. On the basis of these findings, we argue that small pollution sources require more air quality monitoring and emissions reporting and that regulatory agencies should consider cumulative environmental and health impacts of these sources as part of the permitting process.
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Affiliation(s)
- Nikolaos Zirogiannis
- Paul H. O'Neill School of Public and Environmental Affairs, Indiana University Bloomington, 1315 East Tenth Street, Bloomington, Indiana 47405, United States
| | - April Byrne
- Paul H. O'Neill School of Public and Environmental Affairs, Indiana University Bloomington, 1315 East Tenth Street, Bloomington, Indiana 47405, United States
| | - Alex J Hollingsworth
- Paul H. O'Neill School of Public and Environmental Affairs, Indiana University Bloomington, 1315 East Tenth Street, Bloomington, Indiana 47405, United States
- National Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, Massachusetts 02138, United States
| | - David M Konisky
- Paul H. O'Neill School of Public and Environmental Affairs, Indiana University Bloomington, 1315 East Tenth Street, Bloomington, Indiana 47405, United States
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Soriano MA, Warren JL, Clark CJ, Johnson NP, Siegel HG, Deziel NC, Saiers JE. Social Vulnerability and Groundwater Vulnerability to Contamination From Unconventional Hydrocarbon Extraction in the Appalachian Basin. GEOHEALTH 2023; 7:e2022GH000758. [PMID: 37064218 PMCID: PMC10100439 DOI: 10.1029/2022gh000758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/20/2023] [Accepted: 03/07/2023] [Indexed: 06/19/2023]
Abstract
Unconventional oil and gas (UOG) development, made possible by horizontal drilling and high-volume hydraulic fracturing, has been fraught with controversy since the industry's rapid expansion in the early 2000's. Concerns about environmental contamination and public health risks persist in many rural communities that depend on groundwater resources for drinking and other daily needs. Spatial disparities in UOG risks can pose distributive environmental injustice if such risks are disproportionately borne by marginalized communities. In this paper, we analyzed groundwater vulnerability to contamination from UOG as a physically based measure of risk in conjunction with census tract level sociodemographic characteristics describing social vulnerability in the northern Appalachian Basin. We found significant associations between elevated groundwater vulnerability and lower population density, consistent with UOG development occurring in less densely populated rural areas. We also found associations between elevated groundwater vulnerability and lower income, higher proportions of elderly populations, and higher proportion of mobile homes, suggesting a disproportionate risk burden on these socially vulnerable groups. We did not find a statistically significant association between elevated groundwater vulnerability and populations of racial/ethnic minorities in our study region. Household surveys provided empirical support for a relationship between sociodemographic characteristics and capacity to assess and mitigate exposures to potentially contaminated water. Further research is needed to probe if the observed disparities translate to differences in chemical exposure and adverse health outcomes.
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Affiliation(s)
- Mario A. Soriano
- School of the EnvironmentYale UniversityNew HavenCTUSA
- Integrated GroundWater Modeling CenterHigh Meadows Environmental InstitutePrinceton UniversityPrincetonNJUSA
| | - Joshua L. Warren
- Department of BiostatisticsSchool of Public HealthYale UniversityNew HavenCTUSA
| | - Cassandra J. Clark
- Department of Environmental Health SciencesSchool of Public HealthYale UniversityNew HavenCTUSA
| | - Nicholaus P. Johnson
- Department of Environmental Health SciencesSchool of Public HealthYale UniversityNew HavenCTUSA
| | | | - Nicole C. Deziel
- Department of Environmental Health SciencesSchool of Public HealthYale UniversityNew HavenCTUSA
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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.
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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
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González DJX, Morton CM, Hill LAL, Michanowicz DR, Rossi RJ, Shonkoff SBC, Casey JA, Morello‐Frosch R. Temporal Trends of Racial and Socioeconomic Disparities in Population Exposures to Upstream Oil and Gas Development in California. GEOHEALTH 2023; 7:e2022GH000690. [PMID: 36968155 PMCID: PMC10035325 DOI: 10.1029/2022gh000690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 01/30/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
People living near oil and gas development are exposed to multiple environmental stressors that pose health risks. Some studies suggest these risks are higher for racially and socioeconomically marginalized people, which may be partly attributable to disparities in exposures. We examined whether racially and socioeconomically marginalized people in California are disproportionately exposed to oil and gas wells and associated hazards. We longitudinally assessed exposure to wells during three time periods (2005-2009, 2010-2014, and 2015-2019) using sociodemographic data at the census block group-level. For each block group and time period, we assessed exposure to new, active, retired, and plugged wells, and cumulative production volume. We calculated risk ratios to determine whether marginalized people disproportionately resided near wells (within 1 km). Averaged across the three time periods, we estimated that 1.1 million Californians (3.0%) lived within 1 km of active wells. Nearly 9 million Californians (22.9%) lived within 1 km of plugged wells. The proportion of Black residents near active wells was 42%-49% higher than the proportion of Black residents across California, and the proportion of Hispanic residents near active wells was 4%-13% higher than their statewide proportion. Disparities were greatest in areas with the highest oil and gas production, where the proportion of Black residents was 105%-139% higher than statewide. Socioeconomically marginalized residents also had disproportionately high exposure to wells. Though oil and gas production has declined in California, marginalized communities persistently had disproportionately high exposure to wells, potentially contributing to health disparities.
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Affiliation(s)
- David J. X. González
- Division of Environmental Health SciencesSchool of Public HealthUniversity of California, BerkeleyBerkeleyCAUSA
- Department of Environmental Science, Policy, and ManagementUniversity of California, BerkeleyBerkeleyCAUSA
| | - Claire M. Morton
- Mathematical and Computational Science ProgramStanford UniversityStanfordCAUSA
| | | | | | | | - Seth B. C. Shonkoff
- Division of Environmental Health SciencesSchool of Public HealthUniversity of California, BerkeleyBerkeleyCAUSA
- PSE Healthy EnergyOaklandCAUSA
- Lawrence Berkeley National LaboratoryEnergy Technologies AreaBerkeleyCAUSA
| | - Joan A. Casey
- Department of Environmental Health SciencesColumbia UniversityNew YorkNYUSA
- Department of Environmental and Occupational Health SciencesUniversity of WashingtonSeattleWAUSA
| | - Rachel Morello‐Frosch
- Division of Environmental Health SciencesSchool of Public HealthUniversity of California, BerkeleyBerkeleyCAUSA
- Department of Environmental Science, Policy, and ManagementUniversity of California, BerkeleyBerkeleyCAUSA
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10
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Soriano MA, Deziel NC, Saiers JE. Regional Scale Assessment of Shallow Groundwater Vulnerability to Contamination from Unconventional Hydrocarbon Extraction. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:12126-12136. [PMID: 35960643 PMCID: PMC9454823 DOI: 10.1021/acs.est.2c00470] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 05/19/2023]
Abstract
Concerns over unconventional oil and gas (UOG) development persist, especially in rural communities that rely on shallow groundwater for drinking and other domestic purposes. Given the continued expansion of the industry, regional (vs local scale) models are needed to characterize groundwater contamination risks faced by the increasing proportion of the population residing in areas that accommodate UOG extraction. In this paper, we evaluate groundwater vulnerability to contamination from surface spills and shallow subsurface leakage of UOG wells within a 104,000 km2 region in the Appalachian Basin, northeastern USA. We test a computationally efficient ensemble approach for simulating groundwater flow and contaminant transport processes to quantify vulnerability with high resolution. We also examine metamodels, or machine learning models trained to emulate physically based models, and investigate their spatial transferability. We identify predictors describing proximity to UOG, hydrology, and topography that are important for metamodels to make accurate vulnerability predictions outside their training regions. Using our approach, we estimate that 21,000-30,000 individuals in our study area are dependent on domestic water wells that are vulnerable to contamination from UOG activities. Our novel modeling framework could be used to guide groundwater monitoring, provide information for public health studies, and assess environmental justice issues.
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Affiliation(s)
- Mario A. Soriano
- School
of the Environment, Yale University, New Haven, Connecticut 06511, United States
| | - Nicole C. Deziel
- School
of Public Health, Yale University, New Haven, Connecticut 06510, United States
| | - James E. Saiers
- School
of the Environment, Yale University, New Haven, Connecticut 06511, United States
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11
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Worthmann C, Esterhuyse S. A mobile application to protect groundwater during unconventional oil and gas extraction. ROYAL SOCIETY OPEN SCIENCE 2022; 9:220221. [PMID: 36117866 PMCID: PMC9470257 DOI: 10.1098/rsos.220221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
Abstract
Unconventional oil and gas (UOG) is an important energy source for many countries, but requires large quantities of water for its development, and may pollute water resources. Regulations are one of the main tools to achieve government policy on natural resource protection. South Africa, which is energy-constrained, but also water-scarce, is currently considering UOG extraction as an additional energy resource. UOG development could commence as soon as regulations to protect natural resources such as water have been published. Such regulations are, however, often not effectively enforced, which negatively affects the protection of water resources during UOG extraction. This study addresses these enforcement challenges in South Africa. It focuses on the science-society-policy interface by proposing a civic informatics platform to assist with on-the-ground enforcement of regulations via a mobile application. This mobile application aims to address both groundwater monitoring and management as well as UOG extraction operations in a single platform, to enable regulators to protect groundwater resources more effectively during UOG extraction, while simultaneously enhancing transparency in the UOG industry.
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Affiliation(s)
- Charissa Worthmann
- Centre for Environmental Management, University of the Free State, P.O. Box 339, Bloemfontein, Free State 9301, South Africa
| | - Surina Esterhuyse
- Centre for Environmental Management, University of the Free State, P.O. Box 339, Bloemfontein, Free State 9301, South Africa
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12
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Lo Dico G, Muñoz B, Carcelén V, Haranczyk M. Data-Driven Experimental Design of Rheological Clay–Polymer Composites. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c00936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Giulia Lo Dico
- IMDEA Materials Institute, C/Eric Kandel 2, 28906 Getafe, Madrid, Spain
- Department of Materials Science and Engineering, University of Carlos III of Madrid, Avda. de la Universidad, 30, 28911 Leganés, Madrid, Spain
- Tolsa Group, Carretera de Madrid a Rivas Jarama 35, 28041 Madrid, Spain
| | - Borja Muñoz
- Tolsa Group, Carretera de Madrid a Rivas Jarama 35, 28041 Madrid, Spain
| | - Verónica Carcelén
- Tolsa Group, Carretera de Madrid a Rivas Jarama 35, 28041 Madrid, Spain
| | - Maciej Haranczyk
- IMDEA Materials Institute, C/Eric Kandel 2, 28906 Getafe, Madrid, Spain
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13
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Malin SA, Mayer A, Roeser K. Collective Neoliberalism and Market Fundamentalism: Why Concerned People Acquiesce to the Oil and Gas Industry. SOCIOLOGICAL FORUM (RANDOLPH, N.J.) 2022; 37:395-420. [PMID: 36035502 PMCID: PMC9401207 DOI: 10.1111/socf.12800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
In the US, unconventional oil and gas (UOG) production has elicited strong public response. As production occurs amid residential and commercial spaces, environmental, social, economic, regulatory, and mental health impacts have been documented across locations. Some community groups have mobilized against this activity, while others have not. We examine how and why UOG production becomes normalized despite its disruptions and risks. Through years of fieldwork, we have observed limited organized mobilization. Even activists express hesitation to demand transformative changes or complete stoppage of UOG production. Yet the drivers of these dynamics need to be better understood. We argue that these passive 'sites of acceptance' emerge through a two-part influence of neoliberalism. First, a mosaic of ideas and policy measures privileging de-regulation and free markets manifests itself in a unique discourse we call collective neoliberalism. Second, neoliberalism as a system of governance creates a fractured, devolved regulatory environment ripe for regulatory capture and lacking sufficient resources. This, in turn, can discourage local efforts to limit or regulate UOG production as regulators seem unresponsive, poorly resourced, or tacitly more supportive of industry than the public. We use ethnographic data collected amid dense, widespread UOG production in Colorado to illustrate these patterns.
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Affiliation(s)
- Stephanie A Malin
- Department of Sociology, Colorado State University, B234 Clark Building, Department of Sociology, Colorado State University, Fort Collins, CO 80523
| | - Adam Mayer
- Center for Global Change and Earth Observations, 218 Manly Miles Building, 1405 S. Harrison Road East Lansing, MI 48823
| | - Kassandra Roeser
- 450 Jane Stanford Way Building 120, Room 160. Stanford, CA 94305
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14
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Li Z, Zhao G, Xiang C. Synthesis and Properties of a Gel Agent with a High Salt Resistance for Use in Weak-Gel-Type Water-Based Drilling Fluid. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2022. [DOI: 10.1007/s13369-022-06826-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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15
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Gardner-Frolick R, Boyd D, Giang A. Selecting Data Analytic and Modeling Methods to Support Air Pollution and Environmental Justice Investigations: A Critical Review and Guidance Framework. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:2843-2860. [PMID: 35133145 DOI: 10.1021/acs.est.1c01739] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Given the serious adverse health effects associated with many pollutants, and the inequitable distribution of these effects between socioeconomic groups, air pollution is often a focus of environmental justice (EJ) research. However, EJ analyses that aim to illuminate whether and how air pollution hazards are inequitably distributed may present a unique set of requirements for estimating pollutant concentrations compared to other air quality applications. Here, we perform a scoping review of the range of data analytic and modeling methods applied in past studies of air pollution and environmental injustice and develop a guidance framework for selecting between them given the purpose of analysis, users, and resources available. We include proxy, monitor-based, statistical, and process-based methods. Upon critically synthesizing the literature, we identify four main dimensions to inform method selection: accuracy, interpretability, spatiotemporal features of the method, and usability of the method. We illustrate the guidance framework with case studies from the literature. Future research in this area includes an exploration of increasing data availability, advanced statistical methods, and the importance of science-based policy.
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Affiliation(s)
- Rivkah Gardner-Frolick
- Department of Mechanical Engineering, University of British Columbia, Vancouver V6T 1Z4, Canada
| | - David Boyd
- Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver V6T 1Z4, Canada
| | - Amanda Giang
- Department of Mechanical Engineering, University of British Columbia, Vancouver V6T 1Z4, Canada
- Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver V6T 1Z4, Canada
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16
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Casey JA, Cushing L, Depsky N, Morello-Frosch R. Climate Justice and California's Methane Superemitters: Environmental Equity Assessment of Community Proximity and Exposure Intensity. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:14746-14757. [PMID: 34668703 PMCID: PMC8936179 DOI: 10.1021/acs.est.1c04328] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Methane superemitters emit non-methane copollutants that are harmful to human health. Yet, no prior studies have assessed disparities in exposure to methane superemitters with respect to race/ethnicity, socioeconomic status, and civic engagement. To do so, we obtained the location, category (e.g., landfill, refinery), and emission rate of California methane superemitters from Next Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG) flights conducted between 2016 and 2018. We identified block groups within 2 km of superemitters (exposed) and 5-10 km away (unexposed) using dasymetric mapping and assigned level of exposure among block groups within 2 km (measured via number of superemitter categories and total methane emissions). Analyses included 483 superemitters. The majority were dairy/manure (n = 213) and oil/gas production sites (n = 127). Results from fully adjusted logistic mixed models indicate environmental injustice in methane superemitter locations. For example, for every 10% increase in non-Hispanic Black residents, the odds of exposure increased by 10% (95% confidence interval (CI): 1.04, 1.17). We observed similar disparities for Hispanics and Native Americans but not with indicators of socioeconomic status. Among block groups located within 2 km, increasing proportions of non-White populations and lower voter turnout were associated with higher superemitter emission intensity. Previously unrecognized racial/ethnic disparities in exposure to California methane superemitters should be considered in policies to tackle methane emissions.
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Affiliation(s)
- Joan A. Casey
- Columbia University Mailman School of Public Health, Department of Environmental Health Sciences, New York, NY 10034, USA
- Co-corresponding authors: ,
| | - Lara Cushing
- University of California, Los Angeles Fielding School of Public Health, Department of Environmental Health Sciences, Los Angeles, CA 90095, USA
| | - Nicholas Depsky
- University of California, Berkeley, Energy and Resources Group, Berkeley, CA 94720, USA
| | - Rachel Morello-Frosch
- University of California, Berkeley, Department of Environmental Science, Policy and Management and School of Public Health, Berkeley, CA 94720, USA
- Co-corresponding authors: ,
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17
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Okorn K, Jimenez A, Collier-Oxandale A, Johnston J, Hannigan M. Characterizing methane and total non-methane hydrocarbon levels in Los Angeles communities with oil and gas facilities using air quality monitors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 777:146194. [PMID: 34602658 PMCID: PMC8485894 DOI: 10.1016/j.scitotenv.2021.146194] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Over the past decade, sensor networks have been proven valuable to assess air quality on highly localized scales. Here we leverage innovative sensors to characterize gaseous pollutants in a complex urban environment and evaluate differences in air quality in three different Los Angeles neighborhoods where oil and gas activity is present. We deployed monitors across urban neighborhoods in South Los Angles adjacent to oil and gas facilities with varying levels of production. Using low-cost sensors built in-house, we measured methane, total non-methane hydrocarbons (TNMHCs), carbon monoxide, and carbon dioxide during three deployment campaigns over four years. The multi-sensor linear regression calibration model developed to quantify methane and TNMHCs offers up to 16% improvement in coefficient of determination and up to a 22% reduction in root mean square error for the most recent dataset as compared to previous models. The deployment results demonstrate that airborne methane concentrations are higher within a 500 m radius of three urban oil and gas facilities, as well as near a natural gas distribution pipeline, likely a result of proximity to sources. While there are numerous additional sources of TNMHCs in complex urban environments, some sites appear to be larger emitters than others. Significant methane emissions were also measured at an idle site, suggesting that fugitive emissions may still occur even if production is ceased. Episodic spikes of both compounds suggested an association with oil and gas activities, demonstrating how sensor networks can be used to elucidate community-scale sources and differences in air quality moving forward.
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Affiliation(s)
- Kristen Okorn
- Environmental Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
- Correspondence: , P: (303) 735-8054, A: 1111 Engineering Dr., Boulder, CO 80309, USA
| | - Amanda Jimenez
- Preventative Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | | | - Jill Johnston
- Preventative Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Michael Hannigan
- Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
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18
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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: 2.0] [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
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19
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Emanuel RE, Caretta MA, Rivers L, Vasudevan P. Natural Gas Gathering and Transmission Pipelines and Social Vulnerability in the United States. GEOHEALTH 2021; 5:e2021GH000442. [PMID: 34189365 PMCID: PMC8214100 DOI: 10.1029/2021gh000442] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 05/10/2021] [Indexed: 06/13/2023]
Abstract
Midstream oil and gas infrastructure comprises vast networks of gathering and transmission pipelines that connect upstream extraction to downstream consumption. In the United States (US), public policies and corporate decisions have prompted a wave of proposals for new gathering and transmission pipelines in recent years, raising the question: Who bears the burdens associated with the existing pipeline infrastructure in the US? With this in mind, we examined the density of natural gas gathering and transmission pipelines in the US, together with county-level data on social vulnerability. For the 2,261 US counties containing natural gas pipelines, we found a positive correlation between county-level pipeline density and an index of social vulnerability. In general, counties with more socially vulnerable populations have significantly higher pipeline densities than counties with less socially vulnerable populations. In particular, counties in the top quartile of social vulnerability tend to have pipeline densities that are much higher than pipeline densities for counties in the bottom quartile of social vulnerability. The difference grows larger for counties at the upper extremes of pipeline density within each group. We discuss some of the implications for the indigenous communities and others affected by recent expansions of oil and gas infrastructure. We offer recommendations aimed at improving ways in which decision-makers identify and address the societal impacts and environmental justice implications of midstream pipeline infrastructure.
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Affiliation(s)
- Ryan E. Emanuel
- Department of Forestry and Environmental ResourcesNorth Carolina State UniversityRaleighNCUSA
- Center for Geospatial AnalyticsNorth Carolina State UniversityRaleighNCUSA
| | | | - Louie Rivers
- Department of Forestry and Environmental ResourcesNorth Carolina State UniversityRaleighNCUSA
| | - Pavithra Vasudevan
- Department of African and African Diaspora Studies and Center for Women's and Gender StudiesUniversity of Texas at AustinAustinTXUSA
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20
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Clark CJ, Warren JL, Kadan-Lottick N, Ma X, Bell ML, Saiers JE, Deziel NC. Community concern and government response: Identifying socio-economic and demographic predictors of oil and gas complaints and drinking water impairments in Pennsylvania. ENERGY RESEARCH & SOCIAL SCIENCE 2021; 76:102070. [PMID: 34123731 PMCID: PMC8192069 DOI: 10.1016/j.erss.2021.102070] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Oil and gas development has led to environmental hazards and community concerns, particularly in relation to water supply issues. Filing complaints with state agencies enables citizens to register concerns and seek investigations. We evaluated associations between county-level socio-economic and demographic factors, oil and gas drilling, and three outcomes in Pennsylvania between 2004-2016: number of oil and gas complaints filed, and both the number and proportion of state investigations of water supply complaints yielding a confirmed water supply impairment (i.e., "positive determination"). We used hierarchical Bayesian Poisson and binomial regression analyses. From 2004-2016, 9,404 oil and gas-related complaints were filed, of which 4,099 were water supply complaints. Of those, 3,906 received investigations, and 215 yielded positive determinations. We observed a 47% increase in complaints filed per $10,000 increase in annual median household income (MHI) (Rate Ratio [RR]: 1.47, 95% credible interval [CI]: 1.09-1.96) and an 18% increase per 1% increase in educational attainment (RR: 1.18, 95% CI: 1.11-1.26). While the number of complaints filed did not vary by race/ethnicity, the odds of a complaint yielding a positive determination were 0.81 times lower in counties with a higher proportion of marginalized populations (Odds Ratio [OR]: 0.81 per 1% increase in percent Black, Asian, and Native American populations combined, 95% CI: 0.64-0.99). The odds of positive determinations were also lower in areas with higher income (OR per $10,000 increase in MHI: 0.35, 95% CI: 0.09-0.96). Our results suggest these relationships are complex and may indicate potential environmental and procedural inequities, warranting further investigation.
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Affiliation(s)
- Cassandra J. Clark
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven CT, 06510, United States
| | - Joshua L. Warren
- Department of Biostatistics, Yale School of Public Health, 60 College Street, New Haven CT, 06510, United States
| | - Nina Kadan-Lottick
- Department of Pediatric Hematology and Oncology, Yale School of Medicine, 333 Cedar Street, New Haven CT 06510, United States
| | - Xiaomei Ma
- Department of Chronic Disease Epidemiology, Yale School of Public Health, 60 College Street, New Haven CT, 06510, United States
| | - Michelle L. Bell
- Yale School of the Environment, 195 Prospect Street, New Haven CT, 06511, United States
| | - James E. Saiers
- Yale School of the Environment, 195 Prospect Street, New Haven CT, 06511, United States
| | - Nicole C. Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, 60 College Street, New Haven CT, 06510, United States
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21
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Luo Z, Yu S, Zeng W, Zhou J. Comparative analysis of the chemical and biochemical synthesis of keto acids. Biotechnol Adv 2021; 47:107706. [PMID: 33548455 DOI: 10.1016/j.biotechadv.2021.107706] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 12/28/2022]
Abstract
Keto acids are essential organic acids that are widely applied in pharmaceuticals, cosmetics, food, beverages, and feed additives as well as chemical synthesis. Currently, most keto acids on the market are prepared via chemical synthesis. The biochemical synthesis of keto acids has been discovered with the development of metabolic engineering and applied toward the production of specific keto acids from renewable carbohydrates using different metabolic engineering strategies in microbes. In this review, we provide a systematic summary of the types and applications of keto acids, and then summarize and compare the chemical and biochemical synthesis routes used for the production of typical keto acids, including pyruvic acid, oxaloacetic acid, α-oxobutanoic acid, acetoacetic acid, ketoglutaric acid, levulinic acid, 5-aminolevulinic acid, α-ketoisovaleric acid, α-keto-γ-methylthiobutyric acid, α-ketoisocaproic acid, 2-keto-L-gulonic acid, 2-keto-D-gluconic acid, 5-keto-D-gluconic acid, and phenylpyruvic acid. We also describe the current challenges for the industrial-scale production of keto acids and further strategies used to accelerate the green production of keto acids via biochemical routes.
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Affiliation(s)
- Zhengshan Luo
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; State Key Laboratory of Materials-Oriented Chemical Engineering, College of Food Science and Light Industry, Nanjing Tech University, Nanjing 211816, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Shiqin Yu
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Provisional Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Weizhu Zeng
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Jingwen Zhou
- National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Jiangsu Provisional Research Center for Bioactive Product Processing Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
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22
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Johnston JE, Chau K, Franklin M, Cushing L. Environmental Justice Dimensions of Oil and Gas Flaring in South Texas: Disproportionate Exposure among Hispanic communities. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:6289-6298. [PMID: 32338877 PMCID: PMC8915929 DOI: 10.1021/acs.est.0c00410] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Unconventional extraction techniques including hydraulic fracturing or "fracking" have led to a boom in oil and gas production in the Eagle Ford shale play, Texas, one of the most productive regions in the United States. Nearly 400000 people live within 5 km of an unconventional oil or gas well in this largely rural area. Flaring is associated primarily with unconventional oil wells and is an increasingly common practice in the Eagle Ford to dispose of excess gas through combustion. Flares can operate continuously for months and release hazardous air pollutants such as particulate matter and volatile organic compounds in addition to causing light and noise pollution and noxious odors. We estimated ethnic disparities in exposure to flaring using satellite observations from the Visible Infrared Imaging Spectroradiometer between March 2012-December 2016. Census blocks with majority Hispanic (>60%) populations were exposed to twice as many nightly flare events within 5 km as those with <20% Hispanics. We found that Hispanics were exposed to more flares despite being less likely than non-Hispanic White residents to live near unconventional oil and gas wells. Our findings suggest Hispanics are disproportionately exposed to flares in the Eagle Ford shale, a pattern known as environmental injustice, which could contribute to disparities in air pollution and other nuisance exposures.
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Affiliation(s)
- Jill E. Johnston
- Department of Preventive Medicine, University of Southern California, Los Angeles California 90032, United States
| | - Khang Chau
- Department of Preventive Medicine, University of Southern California, Los Angeles California 90032, United States
| | - Meredith Franklin
- Department of Preventive Medicine, University of Southern California, Los Angeles California 90032, United States
| | - Lara Cushing
- Department of Health Education, San Francisco State University, San Francisco California, 94132, United States
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23
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Household Water Security: An Analysis of Water Affect in the Context of Hydraulic Fracturing in West Virginia, Appalachia. WATER 2020. [DOI: 10.3390/w12010147] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Hydraulic fracturing has been booming in the last decade in the United States. While natural gas extraction and production has improved the national energy security, it has raised questions around the water security of those communities where extraction is taking place. Both scientists and residents are concerned about hydraulic fracturing’s impacts on surface- and groundwater, especially regarding how hydraulic fracturing impacts residents’ access to safe household well water. In the past decade, the Marcellus Shale has been developed in Northwestern West Virginia, yet the human geography dimensions of oil and gas extraction in West Virginia remain to be investigated. This article, based on 30 in-depth interviews, explores household groundwater insecurity due to hydraulic fracturing experienced by residents (i.e., mineral owners, surface owners, and concerned citizens) in Northwestern West Virginia. The concept of water affect is used to attend to the emotional and subjective dimensions of water security by unveiling the power, emotional struggles, and mental stress inherent in water testing practices and environmental regulation around hydraulic fracturing. Water testing is typically conducted by contractors hired by oil and gas companies, but it is mired in delayed test results and incorrect testing procedures, triggering residents’ negative feelings toward oil and gas companies. This article furthers the understanding of water security, commonly defined in terms of individual access to adequate water quality and quantity, by studying Appalachian residents’ anxieties about well water contamination and uncertainty around the long-term water impacts of hydraulic fracturing. By investigating the uneven power relations around groundwater in West Virginia, the emotional experiences and responses are articulated to further the notion of water affect as impacting household groundwater security.
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