Mechanisms and Pathways for Coordinated Control of Fine Particulate Matter and Ozone

被引:11
|
作者
Ojha, Narendra [1 ]
Soni, Meghna [1 ,2 ]
Kumar, Manish [3 ]
Gunthe, Sachin S. [4 ,5 ]
Chen, Ying [6 ]
Ansari, Tabish U. [7 ]
机构
[1] Phys Res Lab, Ahmadabad, Gujarat, India
[2] Indian Inst Technol, Gandhinagar, Gujarat, India
[3] Stockholm Univ, Dept Environm Sci, Stockholm, Sweden
[4] Indian Inst Technol Madras, Dept Civil Engn, EWRE Div, Chennai, Tamil Nadu, India
[5] Indian Inst Technol Madras, Lab Atmospher & Climate Sci, Chennai, Tamil Nadu, India
[6] Paul Scherrer Inst PSI, Lab Atmospher Chem, Villigen, Switzerland
[7] Univ Groningen, Campus Fryslan, Groningen, Netherlands
关键词
PM2; 5-O3; co-control; Global warming; Atmospheric chemistry; COVID-19; Multi-pollutant Multi-effect; PBLH; GROUND-LEVEL OZONE; OUTDOOR AIR-POLLUTION; ANTHROPOGENIC EMISSIONS; PREMATURE MORTALITY; TROPOSPHERIC OZONE; COVID-19; LOCKDOWN; HEALTH IMPACTS; CHINA; SURFACE; CHEMISTRY;
D O I
10.1007/s40726-022-00229-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Purpose of Review Fine particulate matter (PM2.5) and ground-level ozone (O-3) pose a significant risk to human health. The World Health Organization (WHO) has recently revised healthy thresholds for both pollutants. The formation and evolution of PM2.5 and O-3 are however governed by complex physical and multiphase chemical processes, and therefore, it is extremely challenging to mitigate both pollutants simultaneously. Here, we review mechanisms and discuss the science-informed pathways for effective and simultaneous mitigation of PM2.5 and O-3. Recent Findings Global warming has led to a general increase in biogenic emissions, which can enhance the formation of O-3 and secondary organic aerosols. Reductions in anthropogenic emissions during the COVID-19 lockdown reduced PM2.5; however, O-3 was enhanced in several polluted regions. This was attributed to more intense sunlight due to low aerosol loading and non-linear response of O-3 to NOx. Such contrasting physical and chemical interactions hinder the formulation of a clear roadmap for clean air over such regions. Atmospheric chemistry including the role of biogenic emissions, aerosol-radiation interactions, boundary layer, and regional-scale transport are the key aspects that need to be carefully considered in the formulation of mitigation pathways. Therefore, a thorough understanding of the chemical effects of the emission reductions, changes in photolytic rates and boundary layer due to perturbation of solar radiation, and the effect of meteorological/seasonal changes are needed on a regional basis. Statistical emulators and machine learning approaches can aid the cumbersome process of multi-sector multi-species source attribution.
引用
收藏
页码:594 / 604
页数:11
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