Chemical characterization of PM&lt;sub&gt;2.5&lt;/sub&gt; and source apportionment of organic aerosol in New Delhi, India

Tobler, Anna; Bhattu, Deepika; Canonaco, Francesco; Lalchandani, Vipul; Shukla, Ashutosh; Thamban, Navaneeth M.; Mishra, Suneeti; Srivastava, Atul K.; Bisht, Deewan S.; Tiwari, Suresh; Singh, Surender; Močnik, Griša; Baltensperger, Urs; Tripathi, Sachchida N.; Slowik, Jay G.; Prévôt, André S.H.

doi:10.1016/j.scitotenv.2020.140924

Chemical characterization of PM_2.5 and source apportionment of organic aerosol in New Delhi, India

Tobler A, Bhattu D, Canonaco F, Lalchandani V, Shukla A, Thamban NM, Mishra S, Srivastava AK, Bisht DS, Tiwari S, Singh S, Močnik G, Baltensperger U, Tripathi SN, Slowik JG & Prévôt ASH

Citation

Tobler, A., Bhattu, D., Canonaco, F., Lalchandani, V., Shukla, A., Thamban, N. M., … Prévôt, A. S. H. (2020). Chemical characterization of PM_2.5 and source apportionment of organic aerosol in New Delhi, India. Science of the Total Environment, 745, 140924 (12 pp.). https://doi.org/10.1016/j.scitotenv.2020.140924

Persistent URL https://www.dora.lib4ri.ch/psi/islandora/object/psi:34046

Delhi is one of the most polluted cities worldwide and a comprehensive understanding and deeper insight into the air pollution and its sources is of high importance. We report 5 months of highly time-resolved measurements of non-refractory PM_2.5 and black carbon (BC). Additionally, source apportionment based on positive matrix factorization (PMF) of the organic aerosol (OA) fraction is presented. The highest pollution levels are observed during winter in December/January. During that time, also uniquely high chloride concentrations are measured, which are sometimes even the most dominant NR-species in the morning hours. With increasing temperature, the total PM_2.5 concentration decreases steadily, whereas the chloride concentrations decrease sharply. The concentrations measured in May are roughly 6 times lower than in December/January. PMF analysis resolves two primary factors, namely hydrocarbon-like (traffic-related) OA (HOA) and solid fuel combustion OA (SFC-OA), and one or two secondary factors depending on the season. The uncertainties of the PMF analysis are assessed by combining the random a-value approach and the bootstrap resampling technique of the PMF input. The uncertainties for the resolved factors range from ±18% to ±19% for HOA, ±7% to ±19% for SFC-OA and ±6 % to ±11% for the OOAs. The average correlation of HOA with equivalent black carbon from traffic (eBC_tr) is R² = 0.40, while SFC-OA has a correlation of R² = 0.78 with equivalent black carbon from solid fuel combustion (eBC_sf). Anthracene (m/z 178) and pyrene (m/z 202) (PAHs) are mostly explained by SFC-OA and follow its diurnal trend (R² = 0.98 and R² = 0.97). The secondary oxygenated aerosols are dominant during daytime. The average contribution during the afternoon hours (1 pm-5 pm) is 59% to the total OA mass, with contributions up to 96% in May. In contrast, the primary sources are more important during nighttime: the mean nightly contribution (22 pm-3 am) to the total OA mass is 48%, with contributions up to 88% during some episodes in April.