Estimates of submicron particulate matter (PM<sub>1</sub>) concentrations for 1998-2022 across the contiguous USA: leveraging measurements of PM<sub>1</sub> with nationwide PM<sub>2·5</sub> component data.

Li, Chi; Martin, Randall V; van Donkelaar, Aaron; Jimenez, Jose L; Zhang, Qi; Turner, Jay R; Liu, Xuan; Rowe, Mark et al. · Lancet Planet Health · 2025

basic_science · Level V

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Abstract

Excess health risk estimates of exposure per unit mass concentration of fine particulate matter (PM<sub>2·5</sub>) still exhibit a wide range, potentially due to variations in aerosol size and composition. Submicron particulate matter (PM<sub>1</sub>) was recently reported to exert stronger health impacts than PM<sub>2·5</sub> from studies in China, but an absence of long-term PM<sub>1</sub> data in the USA has prohibited such investigations despite a wealth of cohorts. This study aims to fill this data gap and estimate PM<sub>1</sub> concentrations over 1998-2022 across the USA. We estimated biweekly gapless ambient PM<sub>1</sub> concentrations and their uncertainties at 1 km<sup>2</sup> resolution across the contiguous USA over the 25-year period of 1998-2022, from hybrid estimates of PM<sub>2·5</sub> chemical composition that merged information from satellite retrievals, air quality modelling, and ground-based monitoring. The mass fractions of PM<sub>2·5</sub> components with diameters below 1 μm were constrained by observations for four major components and from established scientific understanding for the other components. PM<sub>1</sub> concentrations exhibited pronounced spatial variation across the contiguous USA with enhancements observed in the east, major urban and industrial areas, and areas affected by wildfires; low concentrations are prevalent over the arid west. The main components of population-weighted mean (PWM) PM<sub>1</sub> in 2022 (6·1 μg/m<sup>3</sup>) were organic matter (47%), sulphate (22%), nitrate (12%), black carbon (8%), and ammonium (7%). The biweekly PM<sub>1</sub> estimates were highly consistent with independent ground-based PM<sub>1</sub> measurements (slope=0·96, R<sup>2</sup>=0·78). The estimated 1-σ uncertainties of annual mean PM<sub>1</sub> for the 25 years over more than 8 million land pixels were less than 20% for 98% of data points, while 0·3% of the population of the contiguous USA was associated with uncertainties of more than 30% due to wildfires. The PWM PM<sub>1</sub> decreased significantly (p<0·0001) at a rate of -0·23 μg/m<sup>3</sup> per year during 1998-2022, accounting for 86% of the overall reduction of PWM PM<sub>2·5</sub>; the PWM PM<sub>1</sub>/PM<sub>2·5</sub> ratio experienced simultaneous decrease (-0·0013 per year, p<0·0001). The dominance of PM<sub>1</sub> in PM<sub>2·5</sub> reduction and the decreasing PM<sub>1</sub>/PM<sub>2·5</sub> ratio reflect the strong association of PM<sub>1</sub> with fossil fuel and other combustion sources and their responses to air quality regulations during the 25-year study period. The gradual coarsening of PM<sub>2·5</sub> calls for increasing urgency to separately assess health impacts of PM<sub>1</sub> versus PM<sub>2·5</sub>, as supported by the quality of the derived PM<sub>1</sub> estimates. Future particulate matter monitoring programmes, health studies, and regulatory deliberations should consider PM<sub>1</sub> in addition to PM<sub>2·5</sub>. National Institute of Environmental Health Sciences, National Institutes of Health.

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