Preprints
https://doi.org/10.5194/acp-2022-179
https://doi.org/10.5194/acp-2022-179
 
24 Mar 2022
24 Mar 2022
Status: a revised version of this preprint was accepted for the journal ACP and is expected to appear here in due course.

Contributions of primary sources to submicron organic aerosols in Delhi, India

Sahil Bhandari1, Zainab Arub2, Gazala Habib2, Joshua S. Apte3,4, and Lea Hildebrandt Ruiz5 Sahil Bhandari et al.
  • 1Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada
  • 2Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India
  • 3Department of Civil and Environmental Engineering, UC Berkeley, California, USA
  • 4School of Public Health, UC Berkeley, California, USA
  • 5McKetta Department of Chemical Engineering, The University of Texas at Austin, Texas, USA

Abstract. Delhi, India experiences extremely high concentrations of primary organic aerosol (POA). Few prior source apportionment studies on Delhi have captured the influence of biomass burning (BBOA) and cooking (COA) on POA. In a companion paper, we develop a new method to conduct source apportionment resolved by time of day using the underlying approach of positive matrix factorization (PMF). We call this approach “time-of-day PMF” and statistically demonstrate the improvements in this approach over traditional PMF. Here, we quantify the contributions of BBOA, COA, and hydrocarbon-like organic aerosol (HOA) by applying positive matrix factorization (PMF) resolved by time-of-day on two seasons (winter and monsoon 2017) using organic aerosol measurements from an Aerosol Chemical Speciation Monitor (ACSM). We deploy the EPA PMF tool with the underlying Multilinear Engine (ME-2) as the PMF solver. We also conduct detailed uncertainty analysis for statistical validation of our results.

HOA is a major constituent of POA in both winter and monsoon. In addition to HOA, COA is found to be a major constituent of POA in monsoon and BBOA is found to be a major constituent of POA in the winter. Neither COA nor BBOA was resolved in the seasonal (not time-resolved) analysis. The COA mass spectral profiles (MS) are consistent with mass spectral profiles from Delhi and around the world, particularly resembling MS of heated cooking oils with a high m/z 41. The BBOA MS have a very prominent m/z 29 in addition to the characteristic peak at m/z 60, consistent with previous MS observed in Delhi and from wood burning sources. In addition to separating the POA, our technique also captures changes in MS profiles with the time of day, a unique feature among source apportionment approaches available. In addition to the primary factors, we separate 2–3 OOA components. When all factors are recombined to total POA and OOA, our results are consistent with seasonal PMF analysis conducted using EPA PMF. Results from this work can be used to better design policies that target relevant primary sources of organic aerosols in Delhi.

Sahil Bhandari et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-179', Anonymous Referee #1, 25 Apr 2022
  • RC2: 'Comment on acp-2022-179', Anonymous Referee #2, 29 May 2022
  • AC1: 'Author response to reviewer comments on acp-2022-179', Lea Hildebrandt Ruiz, 19 Jul 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-179', Anonymous Referee #1, 25 Apr 2022
  • RC2: 'Comment on acp-2022-179', Anonymous Referee #2, 29 May 2022
  • AC1: 'Author response to reviewer comments on acp-2022-179', Lea Hildebrandt Ruiz, 19 Jul 2022

Sahil Bhandari et al.

Sahil Bhandari et al.

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Short summary
Here we determine the sources of primary organic aerosol in Delhi, India, in two different seasons. In winter, the main sources are traffic and biomass burning; in the summer, the main sources are traffic and cooking. We obtain this result by conducting source apportionment resolved by time of day, using data from and aerosol chemical speciation monitor. Results from this work can be used to better design policies that target sources of organic aerosol.
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