Disparities in Distribution of Particulate Matter Emissions from US Coal-Fired Power Plants by Race and Poverty Status After Accounting for Reductions in Operations Between 2015 and 2017.

Am J Public Health

At the start of the study, Jennifer Richmond-Bryant, Thomas J. Luben, and Jason D. Sacks were with the National Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC. Ihab Mikati and Adam F. Benson were with the Oak Ridge Institute for Science and Education, Research Triangle Park, NC. Jennifer Richmond-Bryant is with the Department of Forestry and Environmental Resources and the Center for Geospatial Analytics, North Carolina State University, Raleigh. Ihab Mikati is with New York University School of Law, New York, NY. Adam F. Benson is with The Schroeder Institute at the TRUTH Initiative, Washington, DC.

Published: May 2020

AI Article Synopsis

  • The study examines the impact of shutting down 92 coal-fired electricity-generating units on fine particulate matter (PM) emissions and how these changes affect different racial, ethnic, and economic groups.
  • After analyzing data from the National Emissions Inventory, it was found that the overall PM burdens dropped by 8.6%, but not evenly across all populations.
  • The results indicated that the highest burdens were still borne by non-White and low-income groups, suggesting a need for policymakers to address these inequities while reducing emissions.

Article Abstract

To investigate potential changes in burdens from coal-fired electricity-generating units (EGUs) that emit fine particulate matter (PM, defined as matter with a nominal mean aerodynamic diameter of ≤ 2.5 µm) among racial/ethnic and economic groups after reduction of operations in 92 US EGUs. PM burdens calculated for EGUs listed in the 2008, 2011, and 2014 National Emissions Inventory were recalculated for 2017 after omitting emissions from 92 EGUs. The combined influence of race/ethnicity and poverty on burden estimates was characterized. Omission of 92 EGUs decreased PM burdens attributable to EGUs by 8.6% for the entire population and to varying degrees for every population subgroup. Although the burden decreased across all subgroups, the decline was not equitable. After omission of the 92 EGUs, burdens were highest for the below-poverty and non-White subgroups. Proportional disparities between White and non-White subgroups increased. In our combined analysis, the burden was highest for the non-White-high-poverty subgroup. Our results indicate that subgroups living in poverty experience the greatest absolute burdens from EGUs. Changes as a result of EGU closures suggest a shift in burden from White to non-White subgroups. Policymakers could use burden analyses to jointly promote equity and reduce emissions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144440PMC
http://dx.doi.org/10.2105/AJPH.2019.305558DOI Listing

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