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Sayyed TK, Ovienmhada U, Kashani M, Vohra K, Kerr GH, O’Donnell C, Harris MH, Gladson L, Titus AR, Adamo SB, Fong KC, Gargulinski EM, Soja AJ, Anenberg S, Kuwayama Y. Satellite data for environmental justice: a scoping review of the literature in the United States. ENVIRONMENTAL RESEARCH LETTERS : ERL [WEB SITE] 2024; 19:10.1088/1748-9326/ad1fa4. [PMID: 39377051 PMCID: PMC11457489 DOI: 10.1088/1748-9326/ad1fa4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/09/2024]
Abstract
In support of the environmental justice (EJ) movement, researchers, activists, and policymakers often use environmental data to document evidence of the unequal distribution of environmental burdens and benefits along lines of race, class, and other socioeconomic characteristics. Numerous limitations, such as spatial or temporal discontinuities, exist with commonly used data measurement techniques, which include ground monitoring and federal screening tools. Satellite data is well poised to address these gaps in EJ measurement and monitoring; however, little is known about how satellite data has advanced findings in EJ or can help to promote EJ through interventions. Thus, this scoping review aims to (1) explore trends in study design, topics, geographic scope, and satellite datasets used to research EJ, (2) synthesize findings from studies that use satellite data to characterize disparities and inequities across socio-demographic groups for various environmental categories, and (3) capture how satellite data are relevant to policy and real-world impact. Following PRISMA extension guidelines for scoping reviews, we retrieved 81 articles that applied satellite data for EJ research in the United States from 2000 to 2022. The majority of the studies leveraged the technical advantages of satellite data to identify socio-demographic disparities in exposure to environmental risk factors, such as air pollution, and access to environmental benefits, such as green space, at wider coverage and with greater precision than previously possible. These disparities in exposure and access are associated with health outcomes such as increased cardiovascular and respiratory diseases, mental illness, and mortality. Research using satellite data to illuminate EJ concerns can contribute to efforts to mitigate environmental inequalities and reduce health disparities. Satellite data for EJ research can therefore support targeted interventions or influence planning and policy changes, but significant work remains to facilitate the application of satellite data for policy and community impact.
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Affiliation(s)
- Tanya Kreutzer Sayyed
- School of Public Policy, University of Maryland, Baltimore County, Baltimore, MD, United States of America
- Author Kreutzer Sayyed, author Ovienmhada and author Kashani contributed equally to this work
| | - Ufuoma Ovienmhada
- Department of Aeronautics and Astronautics, Massachusetts institute of Technology, Cambridge, MA, United States of America
- Author Kreutzer Sayyed, author Ovienmhada and author Kashani contributed equally to this work
| | - Mitra Kashani
- Environmental Public Health Tracking Program, Division of Environmental Health Science and Practice, National Center for Environmental Health, US Centers for Disease Control and Prevention, Atlanta, GA, United States of America
- Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States of America
- Author Kreutzer Sayyed, author Ovienmhada and author Kashani contributed equally to this work
| | - Karn Vohra
- Department of Geography, University College London, London, United Kingdom
| | - Gaige Hunter Kerr
- Milken Institute School of Public Health, George Washington University, Washington, DC, United States of America
| | - Catherine O’Donnell
- Milken Institute School of Public Health, George Washington University, Washington, DC, United States of America
| | - Maria H Harris
- Environmental Defense Fund, New York, NY, United States of America
| | - Laura Gladson
- Marron Institute of Urban Management, New York University, New York, NY, United States of America
- New York University Grossman School of Medicine, New York, NY, United States of America
| | - Andrea R Titus
- New York University Grossman School of Medicine, New York, NY, United States of America
| | - Susana B Adamo
- Center for International Earth Science Information Network, The Climate School, Columbia University, New York, NY, United States of America
| | - Kelvin C Fong
- Milken Institute School of Public Health, George Washington University, Washington, DC, United States of America
| | | | - Amber J Soja
- National Institute of Aerospace, Hampton, VA, United States of America
- NASA Langley Research Center, Hampton, VA, United States of America
| | - Susan Anenberg
- Milken Institute School of Public Health, George Washington University, Washington, DC, United States of America
| | - Yusuke Kuwayama
- School of Public Policy, University of Maryland, Baltimore County, Baltimore, MD, United States of America
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Caron-Beaudoin É, Whyte KP, Bouchard MF, Chevrier J, Haddad S, Copes R, Frohlich KL, Dokkie D, Juul S, Bouchard M, Verner MA. Volatile organic compounds (VOCs) in indoor air and tap water samples in residences of pregnant women living in an area of unconventional natural gas operations: Findings from the EXPERIVA study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 805:150242. [PMID: 34818775 DOI: 10.1016/j.scitotenv.2021.150242] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/13/2021] [Accepted: 09/05/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Northeastern British Columbia (Canada) is an area of unconventional natural gas (UNG) exploitation by hydraulic fracturing, which can release several contaminants, including volatile organic compounds (VOCs). To evaluate gestational exposure to contaminants in this region, we undertook the Exposures in the Peace River Valley (EXPERIVA) study. OBJECTIVES We aimed to: 1) measure VOCs in residential indoor air and tap water from EXPERIVA participants; 2) compare concentrations with those in the general population and explore differences related to sociodemographic and housing characteristics; and 3) determine associations between VOC concentrations and density/proximity to UNG wells. METHODS Eighty-five pregnant women participated. Passive air samplers were analyzed for 47 VOCs, and tap water samples were analyzed for 44 VOCs. VOC concentrations were compared with those from the Canadian Health Measure Survey (CHMS). We assessed the association between different metrics of well density/proximity and indoor air and tap water VOC concentrations using multiple linear regression. RESULTS 40 VOCs were detected in >50% of air samples, whereas only 4 VOCs were detected in >50% of water samples. We observed indoor air concentrations >95th percentile of CHMS in 10-60% of samples for several compounds (acetone, 2-methyl-2-propanol, chloroform, 1,4-dioxane, hexanal, m/p-xylene, o-xylene, styrene, decamethylcyclopentasiloxane, dodecane and decanal). Indoor air levels of chloroform and tap water levels of total trihalomethanes were higher in Indigenous participants compared to non-Indigenous participants. Indoor air levels of chloroform and acetone, and tap water levels of total trihalomethanes were positively associated with UNG wells density/proximity metrics. Indoor air BTEX (benzene, toluene, ethylbenzene, xylenes) levels were positively correlated with some well density/proximity metrics. CONCLUSION Our results suggest higher exposure to certain VOCs in pregnant women living in an area of intense unconventional natural gas exploitation compared with the general Canadian population, and that well density/proximity is associated with increased exposure to certain VOCs.
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Affiliation(s)
- Élyse Caron-Beaudoin
- Department of Health and Society, Department of Physical and Environmental Sciences, University of Toronto Scarborough, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Ontario, Canada; Centre for Clinical Epidemiology and Evaluation, University of British Columbia, British Columbia, Canada.
| | - Kyle Powys Whyte
- School for Environment and Sustainability, University of Michigan, MI, USA
| | - Maryse F Bouchard
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Québec, Canada; CHU Sainte-Justine Hospital Research Center, Montreal, Québec, Canada
| | - Jonathan Chevrier
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University Faculty of Medicine, Québec, Canada
| | - Sami Haddad
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Québec, Canada; Centre de Recherche en Santé Publique, Université de Montréal and CIUSSS Du Centre-Sud-de-l'île-de-Montréal, Montreal, Québec, Canada
| | - Ray Copes
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
| | - Katherine L Frohlich
- Department of Preventive and Social Medicine, School of Public Health, Université de Montréal, Québec, Canada
| | - Dean Dokkie
- West Moberly First Nations, British Columbia, Canada
| | - Sonje Juul
- Cumming School of Medicine, Community Health Sciences, University of Calgary, Alberta, Canada
| | - Michèle Bouchard
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Québec, Canada; Centre de Recherche en Santé Publique, Université de Montréal and CIUSSS Du Centre-Sud-de-l'île-de-Montréal, Montreal, Québec, Canada
| | - Marc-André Verner
- Department of Occupational and Environmental Health, School of Public Health, Université de Montréal, Québec, Canada; Centre de Recherche en Santé Publique, Université de Montréal and CIUSSS Du Centre-Sud-de-l'île-de-Montréal, Montreal, Québec, Canada
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