4.4 Article

Sources and Dynamics of Submicron Aerosol during the Autumn Onset of the Air Pollution Season in Delhi, India

Journal

ACS EARTH AND SPACE CHEMISTRY
Volume 5, Issue 1, Pages 118-128

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsearthspacechem.0c00340

Keywords

Delhi; autumn; air pollution; particulate matter; aerosol chemical speciation monitor; positive matrix factorization

Funding

  1. Welch Foundation [F-1925-20170325, F-192520200401]
  2. National Science Foundation [1653625]
  3. ClimateWorks Foundation
  4. Div Atmospheric & Geospace Sciences
  5. Directorate For Geosciences [1653625] Funding Source: National Science Foundation

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This study focuses on the pollution situation in Delhi, India, during autumn, one of the most polluted seasons in the city. The research finds that the organic aerosol (OA) spectrum may come from different factors, such as hydrocarbon-like OA (HOA), biomass burning OA (BBOA), and oxidized OA (OOA). The study also shows the influence of regional sources, pollutants, PMF factors, meteorology, and nonparametric wind regression analysis, as well as the impact of metals during the festival of Diwali. Overall, the analysis provides new insights into the factors controlling PM during one of the most polluted seasons in Delhi.
New Delhi, India is the most polluted megacity in the world and routinely experiences high particulate matter (PM) concentrations. As part of the Delhi Aerosol Supersite Study, we have been measuring PM, concentration and composition in Delhi continuously since January 2017. This paper focuses on autumn, one of the most polluted seasons in Delhi when PM, concentrations steadily increase throughout the season and can exceed 1000 mu g m(-3) during episodic events. Positive matrix factorization on the organic aerosol (OA) spectrum suggests comparable seasonal average contributions from hydrocarbon-like OA (HOA), biomass burning OA (BBOA), and oxidized OA (OOA), with BBOA dominating during episodic events. We demonstrate the influence of regional sources such as agricultural burning during this season through temporal trends of pollutants, PMF factors, meteorology, and nonparametric wind regression analysis. We use inorganic fragment ratios to show the influence of metals during the festival of Diwali. Furthermore, we demonstrate the influence of transitioning meteorology in governing PM, composition through the season. Overall, our analysis provides novel insights into the factors controlling PM, during one of the most polluted seasons in Delhi.

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