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A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China.
- Source :
-
Environment international [Environ Int] 2023 Jan; Vol. 171, pp. 107740. Date of Electronic Publication: 2023 Jan 06. - Publication Year :
- 2023
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Abstract
- Ambient fine particulate matter (PM <subscript>2.5</subscript> ) pollution is a major environmental and public health challenge in China. In the recent decade, the PM <subscript>2.5</subscript> level has decreased mainly driven by reductions in particulate sulfate as a result of large-scale desulfurization efforts in coal-fired power plants and industrial facilities. Emerging evidence also points to the differential toxicity of particulate sulfate affecting human health. However, estimating the long-term spatiotemporal trend of sulfate is difficult because a ground monitoring network of PM <subscript>2.5</subscript> constituents has not been established in China. Spaceborne sensors such as the Multi-angle Imaging SpectroRadiometer (MISR) instrument can provide complementary information on aerosol size and type. With the help of state-of-the-art machine learning techniques, we developed a sulfate prediction model under support from available ground measurements, MISR-retrieved aerosol microphysical properties, and atmospheric reanalysis data at a spatial resolution of 0.1°. Our sulfate model performed well with an out-of-bag cross-validationR <superscript>2</superscript> of 0.68 at the daily level and 0.93 at the monthly level. We found that the national mean population-weighted sulfate concentration was relatively stable before the Air Pollution Prevention and Control Action Plan was enforced in 2013, ranging from 10.4 to 11.5 µg m <superscript>-3</superscript> . But the sulfate level dramatically decreased to 7.7 µg m <superscript>-3</superscript> in 2018, with a change rate of -28.7 % from 2013 to 2018. Correspondingly, the annual mean total non-accidental and cardiopulmonary deaths attributed to sulfate decreased by 40.7 % and 42.3 %, respectively. The long-term, full-coverage sulfate level estimates will support future studies on evaluating air quality policies and understanding the adverse health effect of particulate sulfate.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-6750
- Volume :
- 171
- Database :
- MEDLINE
- Journal :
- Environment international
- Publication Type :
- Academic Journal
- Accession number :
- 36634483
- Full Text :
- https://doi.org/10.1016/j.envint.2023.107740