Sources of PM exposure and health benefits of clean air actions in Shanghai.

Environ Int

Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Joint International Research Laboratory of Climate and Environment Change, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Published: January 2025

Estimating PM exposure and its health impacts in cities involves large uncertainty due to the limitations of model resolutions. Consequently, attributing the sources of PM-related health impacts at the city level remains challenging. We characterize the health impacts associated with chronic PM exposure and anthropogenic emissions in Shanghai using a chemical transport model (GEOS-Chem) and its adjoint. By incorporating high-resolution satellited-derived PM estimates into the calculation, we investigate the response of PM exposure and its related health impacts in Shanghai to changes in anthropogenic emissions from each individual region, species, sector, and month. We estimate that a 10% decrease in anthropogenic emissions throughout China avoids over 752 (506-1,044) PM-related premature deaths in Shanghai, with changes in local emissions potentially saving 241 (161-334) lives. Ammonia (NH) emissions are identified as the marginal dominant contributor to the health impacts due to the NH-limited PM formation within the city, thus controlling NH emissions at both the local and regional scales are effective at reducing the population's exposure to PM. A negative response of the PM exposure to local nitrogen oxides (NO) emission changes is detected in winter. Even so, controlling NO emissions is still justified since the negative impacts decrease as anthropogenic emissions decline and NO emission reductions benefit the public health on average. The anthropogenic emission changes due to Clean Air Actions helped avoid 3,132 (2,108-4,346) PM-related premature deaths in 2019 relative to 2013, most of which are associated with emission reductions in the agricultural and industrial sectors.

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Source
http://dx.doi.org/10.1016/j.envint.2025.109259DOI Listing

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