Synergistic PM 2.5 and O3 control to address the emerging global PM2.5-O3 compound pollution challenges

被引:5
作者
He, Chao [1 ,2 ]
Liu, Jianhua [1 ,2 ]
Zhou, Yiqi [3 ]
Zhou, Jingwei [4 ]
Zhang, Lu [5 ]
Wang, Yifei [6 ]
Liu, Lu [7 ]
Peng, Sha [8 ]
机构
[1] Yangtze Univ, Coll Resources & Environm, Wuhan 430100, Peoples R China
[2] Yangtze Univ, Hubei Key Lab Petr Geochem & Environm, Wuhan 430100, Peoples R China
[3] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China
[4] Wageningen Univ & Res, Hydrol & Environm Hydraul Grp, NL-6700 HB Wageningen, Netherlands
[5] Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
[6] Peking Univ, Sch Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Cont, Beijing 100871, Peoples R China
[7] Nanjing Univ, Sch Environm, State Key Lab Pollut Control & Resource Reuse, Nanjing 210023, Peoples R China
[8] Hubei Univ Econ, Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan 430205, Peoples R China
来源
ECO-ENVIRONMENT & HEALTH | 2024年 / 3卷 / 03期
关键词
Population exposure risk; Spatial correlation; Synergistic treatment potential; PM2.5-O3 compound pollution; LONG-TERM TRENDS; AIR-POLLUTION; PARTICULATE-MATTER; SURFACE-OZONE; CLIMATE-CHANGE; CHINA; O-3; MORTALITY; IMPACT; EUROPE;
D O I
10.1016/j.eehl.2024.04.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, the issue of PM2.5-O3 2.5-O 3 compound pollution has become a significant global environmental concern. This study examines the spatial and temporal patterns of global PM2.5-O3 2.5-O 3 compound pollution and exposure risks, firstly at the global and urban scale, using spatial statistical regression, exposure risk assessment, and trend analyses based on the datasets of daily PM 2.5 and surface O3 3 concentrations monitored in 120 cities around the world from 2019 to 2022. Additionally, on the basis of the common emission sources, spatial heterogeneity, interacting chemical mechanisms, and synergistic exposure risk levels between PM 2.5 and O3 3 pollution, we proposed a synergistic PM2.5-O3 2.5-O 3 control framework for the joint control of PM 2.5 and O3. 3 . The results indicated that: (1) Nearly 50% of cities worldwide were affected by PM2.5-O3 2.5-O 3 compound pollution, with China, South Korea, Japan, and India being the global hotspots for PM2.5-O3 2.5-O 3 compound pollution; (2) Cities with PM2.5-O3 2.5-O 3 compound pollution have exposure risk levels dominated by ST + ST (Stabilization) and ST + HR (High Risk). Exposure risk levels of compound pollution in developing countries are significantly higher than those in developed countries, with unequal exposure characteristics; (3) The selected cities showed significant positive spatial correlations between PM 2.5 and O3 3 concentrations, which were consistent with the spatial distribution of the precursors NOx and VOCs; (4) During the study period, 52.5% of cities worldwide achieved synergistic reductions in annual average PM 2.5 and O3 3 concentrations. The average PM 2.5 concentration in these cities decreased by 13.97%, while the average O3 3 concentration decreased by 19.18%. This new solution offers the opportunity to construct intelligent and healthy cities in the upcoming low-carbon transition.
引用
收藏
页码:325 / 337
页数:13
相关论文
共 50 条
  • [31] Coordinated control of PM2.5 and O3 is urgently needed in China after implementation of the "Air pollution prevention and control action plan"
    Zhao, Hui
    Chen, Kaiyu
    Liu, Zhen
    Zhang, Yuxin
    Shao, Tian
    Zhang, Hongliang
    CHEMOSPHERE, 2021, 270
  • [32] Simulation-based Design of Regional Emission Control Experiments with Simultaneous Pollution of O3 and PM2.5 in Jinan, China
    Wang, Haoyue
    Sui, Wenxuan
    Tang, Xiao
    Lu, Miaomiao
    Wu, Huangjian
    Kong, Lei
    Han, Lina
    Wu, Lin
    Wang, Weiguo
    Wang, Zifa
    AEROSOL AND AIR QUALITY RESEARCH, 2019, 19 (11) : 2543 - 2556
  • [33] Synergistic Evolution of PM2.5 and O3 Concentrations: Evidence from Environmental Kuznets Curve Tests in the Yellow River Basin
    Qi, Guangzhi
    Miao, Yi
    Xie, Fucong
    Teng, Chao
    Wang, Chengxin
    Wang, Zhibao
    SUSTAINABILITY, 2024, 16 (11)
  • [34] The co-benefits of a low-carbon future for PM2.5 and O3 air pollution in Europe
    Clayton, Connor J.
    Marsh, Daniel R.
    Turnock, Steven T.
    Graham, Ailish M.
    Pringle, Kirsty J.
    Reddington, Carly L.
    Kumar, Rajesh
    McQuaid, James B.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2024, 24 (18) : 10717 - 10740
  • [35] Ambient Endotoxin and Chemical Pollutant (PM10, PM2.5, and O3) Levels in South Korea
    Hwang, Sung Ho
    Park, Dong Uk
    AEROSOL AND AIR QUALITY RESEARCH, 2019, 19 (04) : 786 - 793
  • [36] Atmospheric reactive nitrogen conversion kicks off the co-directional and contra-directional effects on PM2.5-O3 pollution
    Wang, Feng
    Zhang, Chun
    Ge, Yi
    Zhang, Ruiling
    Huang, Bijie
    Shi, Guoliang
    Wang, Xiaoli
    Feng, Yinchang
    JOURNAL OF HAZARDOUS MATERIALS, 2024, 478
  • [37] Relationships between Springtime PM2.5, PM10, and O3 Pollution and the Boundary Layer Structure in Beijing, China
    Zhou, Qing
    Cheng, Lei
    Zhang, Yong
    Wang, Zhe
    Yang, Shili
    SUSTAINABILITY, 2022, 14 (15)
  • [38] Modeling the transport of PM10, PM2.5, and O3 from South Asia to the Tibetan Plateau
    Hu, Yuling
    Yu, Haipeng
    Kang, Shichang
    Yang, Junhua
    Chen, Xintong
    Yin, Xiufeng
    Chen, Pengfei
    ATMOSPHERIC RESEARCH, 2024, 303
  • [39] Future intensification of co-occurrences of heat, PM2.5 and O3 extremes in China and India despite stringent air pollution controls
    Gao, Meng
    Wang, Fan
    Xu, Yangyang
    Chen, Ji
    Lu, Xiao
    Carmichael, Gregory R.
    ENVIRONMENTAL RESEARCH LETTERS, 2025, 20 (01):
  • [40] Analysis of Synergistic Changes in PM2.5 and O3 Concentrations Based on Structural Equation Model Study
    Su, Zhangwen
    Yang, Liming
    Chen, Yimin
    Ni, Rongyu
    Wang, Wenlong
    Hu, Honghao
    Xiao, Bin
    Luo, Sisheng
    ATMOSPHERE, 2024, 15 (11)