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Characterization of paddy-residue burning derived carbonaceous aerosols using dual carbon isotopes. | LitMetric

Characterization of paddy-residue burning derived carbonaceous aerosols using dual carbon isotopes.

Sci Total Environ

Geosciences Division, Physical Research Laboratory, Ahmedabad 380009, India.

Published: March 2023

A large scale paddy-residue burning (PRB) happens every year in the northwest Indo-Gangetic Plain (IGP) during the post-monsoon season, and winds transport pollutants from the source region up to the northern Indian Ocean affecting air quality of the IGP and marine region. In this study, day-night pairs of fine aerosol samples (n = 69) were collected during October-November over Patiala (30.2°N, 76.3°E, 250 m amsl), a site located in the source region of PRB. Carbonaceous aerosols (CA) were characterised using chemical species and dual carbon isotopes (C and C) to estimate bio vs non-bio contributions and understand their characteristics. Percentage of bio fraction (f, estimated using C) in CA varied from 74 % to 87 % (avg: 80 ± 3) during days and 71 % to 96 % (avg: 85 ± 7 %) during nights. Further, the f was found to be better correlated with aerosol mass spectrometer derived f60 compare to levoglucosan (LG) or nssK, suggesting f60 a useful proxy for PRB. The δC varied from -27.7 ‰ to -26.0 ‰ (avg: -27.0 ± 0.4 ‰) and - 28.7 ‰ to -26.4 ‰ (avg: -27.5 ± 0.7 ‰) during day and night, respectively. Measured δC of the samples was found to be more enriched than expected by 0.3 to 2.0 ‰, indicating the presence of aged CA also in Patiala even during PRB period. From f versus δC correlation, and from Miller-Trans plot, δC of PRB is found to be -28.9 ± 1.1 ‰, which also infers that Miller-Trans plot can be used to understand source isotopic signature in the absence of radiocarbon measurements in aerosols. Further, the characteristics ratios of organic carbon (OC) to elemental carbon (EC) (11.9 ± 4.1), LG to potassium (K) (0.84 ± 0.15), OC/LG (19.7 ± 2.0) and K/EC (0.75 ± 0.27) were calculated by considering samples with f higher than 0.90, which can be used for source apportionment studies. Such studies are crucial in assessing the effects of PRB on regional air quality and climate.

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Source
http://dx.doi.org/10.1016/j.scitotenv.2022.161044DOI Listing

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