Short-Term Exposure to Fine Particulate Matter and Ozone: Source Impacts and Attributable Mortalities

Liu, Song1,2; Li, Xicheng1; Wei, Jing3; Shu, Lei4; Jin, Jianbing5; Fu, Tzung-May1,6,7; Yang, Xin1,6,7; Zhu, Lei1,6,7

2024-06-17

10.1021/acs.est.4c00339

ENVIRONMENTAL SCIENCE & TECHNOLOGY   影响因子和分区

0013-936X

1520-5851

Short-term exposure to particles with aerodynamic diameters less than 2.5 mu m (PM2.5) and ozone (O-3) are important risk factors for human health. Despite the awareness of reducing attributable health burden, region-specific and source-specific strategies remain less explored due to the gap between precursor emissions and health effects. In this study, we isolate the health burden of individual sector sources of PM2.5 and O-3 precursors, nitrogen oxides (NOx) and volatile organic compounds (VOCs), across the globe. Specifically, we estimate mortalities attributable to short-term exposure using machine-learning-based daily exposure estimates and quantify sectoral impacts using chemical transport model simulations. Globally, short-term exposure to PM2.5 and O-3 result in 713.5 (95% Confidence Interval: 598.8-843.3) thousand and 496.3 (371.3-646.1) thousand mortalities in 2019, respectively, of which 12.5% are contributed by fuel-related NOx emissions from transportation, energy, and industry. Sectoral impacts from anthropogenic NOx and VOC emissions on health burden vary significantly among seasons and regions, requiring a target shift from transportation in winter to industry in summer for East Asia, for instance. Emission control and health management are additionally complicated by unregulated natural influences during climatic events. Fire-sourced NOx and VOC emissions, respectively, contribute to 8.5 (95% CI: 6.2-11.7) thousand and 4.8 (3.6-5.9) thousand PM2.5 and O-3 mortalities, particularly for tropics with high vulnerability to climate change. Additionally, biogenic VOC emissions during heatwaves contribute to 1.8 (95% CI: 1.5-2.2) thousand O-3-introduced mortalities, posing challenges in urban planning for high-income regions, where biogenic contributions to health burden during heatwaves are 13% of anthropogenic contributions annually. Our study provides important implications for temporally dynamic and sector-targeted emission control and health management strategies, which are of urgency under the projection of continuously increasing energy consumption and changing climate.

air pollution health burden precursor impacts machine learning chemical simulation

SCI ; EI

英语

第一 ; 通讯

Science and Technology Foundation of Shenzhen City["42205134","42375090"] ; National Natural Science Foundation of China[2023YFE0112900] ; Ministry of Science and Technology of the People's Republic of China[2021A1515110713] ; Guangdong Basic and Applied Basic Research Foundation[2020B1111360001] ; Key-Area Research and Development Program of Guangdong Province[ZDSYS20220606100604008] ; Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks[2020B1515130003] ; Guangdong Basic and Applied Basic Research Fund[2021KCXTD004] ; Guangdong University Research Project Science Team["KQTD20210811090048025","JCYJ20210324104604012","JCYJ20220530115404009","G030290001"] ; Shenzhen Science and Technology Program[KHK001]

Engineering ; Environmental Sciences & Ecology

Engineering, Environmental ; Environmental Sciences

WOS:001249603800001

AMER CHEMICAL SOC

20242616301304

Air quality ; Climate change ; Emission control ; Energy utilization ; Health risks ; Machine learning ; Nitrogen oxides ; Particles (particulate matter) ; Urban transportation ; Volatile organic compounds

Highway Transportation:432 ; Railroad Transportation:433 ; Atmospheric Properties:443.1 ; Air Pollution Control:451.2 ; Health Care:461.7 ; Energy Utilization:525.3 ; Artificial Intelligence:723.4 ; Chemical Products Generally:804 ; Organic Compounds:804.1 ; Inorganic Compounds:804.2 ; Materials Science:951

ENVIRONMENT/ECOLOGY

Web of Science

1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
2.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equipm, Jiangsu Key Lab Atmospher Environm Monitoring & Po, Nanjing 210044, Peoples R China
3.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
4.Fujian Normal Univ, Sch Geog Sci, Fuzhou 350117, Peoples R China
5.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equipm, Sch Environm Sci & Engn, Jiangsu Key Lab Atmospher Environm Monitoring & Po, Nanjing 210044, Peoples R China
6.Guangdong Prov Observat & Res Stn Coastal Atmosphe, Shenzhen 518055, Peoples R China
7.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen Key Lab Precis Measurement & Early Warnin, Shenzhen 518055, Peoples R China

Liu, Song,Li, Xicheng,Wei, Jing,et al. Short-Term Exposure to Fine Particulate Matter and Ozone: Source Impacts and Attributable Mortalities[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2024,58(26):11256-11267.

Liu, Song.,Li, Xicheng.,Wei, Jing.,Shu, Lei.,Jin, Jianbing.,...&Zhu, Lei.(2024).Short-Term Exposure to Fine Particulate Matter and Ozone: Source Impacts and Attributable Mortalities.ENVIRONMENTAL SCIENCE & TECHNOLOGY,58(26),11256-11267.

Liu, Song,et al."Short-Term Exposure to Fine Particulate Matter and Ozone: Source Impacts and Attributable Mortalities".ENVIRONMENTAL SCIENCE & TECHNOLOGY 58.26(2024):11256-11267.