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

Source
Current Pollution Reports
Date Issued
2022-12-01
Author(s)
Ojha, Narendra
Soni, Meghna
Kumar, Manish  
Gunthe, Sachin S.
Chen, Ying
Ansari, Tabish U.
DOI
10.1007/s40726-022-00229-4
Volume
8
Issue
4
Abstract
Purpose of Review: Fine particulate matter (PM<inf>2.5</inf>) and ground-level ozone (O<inf>3</inf>) 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 PM<inf>2.5</inf> and O<inf>3</inf> 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 PM<inf>2.5</inf> and O<inf>3</inf>. Recent Findings: Global warming has led to a general increase in biogenic emissions, which can enhance the formation of O<inf>3</inf> and secondary organic aerosols. Reductions in anthropogenic emissions during the COVID-19 lockdown reduced PM<inf>2.5</inf>; however, O<inf>3</inf> was enhanced in several polluted regions. This was attributed to more intense sunlight due to low aerosol loading and non-linear response of O<inf>3</inf> to NO<inf>x</inf>. Such contrasting physical and chemical interactions hinder the formulation of a clear roadmap for clean air over such regions. Summary: 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.
Publication link
https://link.springer.com/content/pdf/10.1007/s40726-022-00229-4.pdf
URI
http://repository.iitgn.ac.in/handle/IITG2025/25852
Subjects
Atmospheric chemistry | COVID-19 | Global warming | Multi-pollutant Multi-effect | PBLH | PM2.5-O3 co-control
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