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Gas flaring from oil and gas fields is a significant source of black carbon (BC) emissions, a component of particulate matter that damages health and warms the climate. Observations from the Visible Infrared Imaging Radiometer Suite (VIIRS) satellite instrument indicate that approximately 17.2 billion cubic meters (bcm) of gas was flared from upstream oil and gas operations in the United States in 2019. Based on an emissions factor equation that accounts for the higher heating value of the gas, that corresponded to nearly 16,000 tons of BC emitted, though estimates vary widely across published emissions factors. In this study, we used three reduced-form air quality and health effect models to estimate the health impacts from the flaring-emitted BC particulate matter in the United States. The three models—EASIUR, AP3, and InMAP—predict 26, 48, and 53 premature deaths, respectively, in 2019. The mortality range expands from 5 to 360 deaths annually if alternative emission factors are used. This study shows that reduced-form models can be useful to estimate the impacts of numerous dispersed emissions sources such as flares, and that further research is needed to better quantify BC emissions factors from flares. [ABSTRACT FROM AUTHOR]

[Display omitted] • Analysis of long-term exposure to PM 2.5 major components and overall mortality among the elderly in the southeastern United States. • A large-scale population-based cohort study by leveraging fine-resolution PM 2.5 components data and the Medicare population. • We observed elevated all-cause mortality associated with long-term exposure to black carbon, organic matters, nitrate, and soil particles. • Better understanding of component-specific effects of PM 2.5 on all-cause mortality could inform pollution control policies on specific sources. Long-term exposure to fine particulate matter (PM 2.5) mass has been associated with adverse health effects. However, the health effects of PM 2.5 components have been less studied. There is a pressing need to better understand the relative contribution of components of PM 2.5 , which can lay the scientific basis for designing effective policies and targeted interventions. We conducted a population-based cohort study, comprising all Medicare enrollees aged 65 or older in the southeastern United States from 2000 to 2016, to explore the associations between long-term exposure to PM 2.5 major components and all-cause mortality among the elderly. Based on well-validated prediction models, we estimated ZIP code-level annual mean concentrations for five major PM 2.5 components, including black carbon (BC), nitrate (NIT), organic matter (OM), sulfate (SO 4), and soil particles. Data were analyzed using Cox proportional hazards models, adjusting for potential confounders. The cohort comprised 13,590,387 Medicare enrollees and a total of 107,191,652 person-years. In single-component models, all five major PM 2.5 components were significantly associated with elevated all-cause mortality. The hazard ratios (HR) per interquartile range (IQR) increase in exposure were 1.027 (95% CI: 1.025–1.030), 1.012 (95% CI: 1.010–1.013), 1.018 (95% CI: 1.017–1.020), 1.021 (95% CI: 1.017–1.024), and 1.004 (95% CI: 1.003–1.006) for BC, NIT, OM, SO 4 , and soil particles, respectively. While the effect estimate of soil component was statistically significant, it is much smaller than those of combustion-related components. Our study provides epidemiological evidence that long-term exposure to major PM 2.5 components is significantly associated with elevated mortality. [ABSTRACT FROM AUTHOR]