Unpacking the factors contributing to changes in PM2.5-associated mortality in China from 2013 to 2019

• Published in: Environment international 2024-02, Vol.184, p.108470-108470, Article 108470
• Main Authors: Zheng, Haotian, Li, Shengyue, Jiang, Yueqi, Dong, Zhaoxin, Yin, Dejia, Zhao, Bin, Wu, Qingru, Liu, Kaiyun, Zhang, Shaojun, Wu, Ye, Wen, Yifan, Xing, Jia, Henneman, Lucas R.F., Kinney, Patrick L., Wang, Shuxiao, Hao, Jiming
• Format: Article
• Language: English
• Subjects: Driving factor; Exposure; Health risks; PM2.5; Policy
• ISSN: 0160-4120; 1873-6750
• DOI: 10.1016/j.envint.2024.108470

From 2013 to 2019, a series of air pollution control actions significantly reduced PM2.5 pollution in China. Control actions included changes in activity levels, structural adjustment (SA) policy, energy and material saving (EMS) policy, and end-of-pipe (EOP) control in several sources, which have not been systematically studied in previous studies. Here, we integrate an emission inventory, a chemical transport model, a health impact assessment model, and a scenario analysis to quantify the contribution of each control action across a range of major emission sources to the changes in PM2.5 concentrations and associated mortality in China from 2013 to 2019. Assuming equal toxicity of PM2.5 from all the sources, we estimate that PM2.5-related mortality decreased from 2.52 (95 % confidence interval, 2.13–2.88) to 1.94 (1.62–2.24) million deaths. Anthropogenic emission reductions and declining baseline incidence rates significantly contributed to health benefits, but population aging partially offset their impact. Among the major sources, controls on power plants and industrial boilers were responsible for the highest reduction in PM2.5-related mortality (∼80 %), followed by industrial processes (∼40 %), residential combustion (∼40 %), and transportation (∼30 %). However, considering the potentially higher relative risks of power plant PM2.5, the adverse effects avoided by their control could be ∼2.4 times the current estimation. Our power plant sensitivity analyses indicate that future estimates of source-specific PM2.5 health effects should incorporate variations in individual source PM2.5 effect coefficients when available. As for the control actions, while activity levels increased for most sources, SA policy significantly reduced the emissions in residential combustion and industrial boilers, and EOP control dominated the contribution in health benefits in most sources except residential combustion. Considering the emission reduction potential by source and control actions in 2019, our results suggest that promoting clean energy in residential combustion and enforcing more stringent EOP control in the iron and steel industry should be prioritized in the future.