Journals / Atmospheric Pollution Research / 2019 / Cilt: 10 - Sayı: 3

Characteristics of aerosol during major biomass burning events over eastern central India in winter: A tracer-based approach

Pages
817–826
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

The potential ingress of biomass burning derived particles into the lungs was calculatedto be high whereas fungal spores and soil particles were more likely found in the upper respiratory tract.Principal component analysis and correlation analysis showed that biomass burning was a major source in thesub-micron mode whereas fungal spores and vegetative soil were dominant sources for quantified sugars insuper-micron mode.

📌 3 Key Takeaways

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Objective & Hypothesis:Size-segregated aerosol samples collected from a rural site (Rajim: 20˚59′N and 81˚55′E) in eastern central Indiaduring the winter of 2011 were analyzed for anhydrosugars, sugar alcohols and primary sugars to better understandtheir potential sources and formation.
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Key Findings & Data:Anhydrosugars showed the predominance of levoglucosan,whereas sugar alcohol showed the predominance of mannitol, with glucose as a major primary sugar in the submicron(Da 1.1 μm).
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Conclusion & Impact:The potential ingress of biomass burning derived particles into the lungs was calculatedto be high whereas fungal spores and soil particles were more likely found in the upper respiratory tract.Principal component analysis and correlation analysis showed that biomass burning was a major source in thesub-micron mode whereas fungal spores and vegetative soil were dominant sources for quantified sugars insuper-micron mode.
🔬Design:Research Article
📍Scope:2011 Verileri
⚙️Variables:Domain Parameters

Özet

Size-segregated aerosol samples collected from a rural site (Rajim: 20˚59′N and 81˚55′E) in eastern central Indiaduring the winter of 2011 were analyzed for anhydrosugars, sugar alcohols and primary sugars to better understandtheir potential sources and formation. Anhydrosugars showed the predominance of levoglucosan,whereas sugar alcohol showed the predominance of mannitol, with glucose as a major primary sugar in the submicron(Da 1.1 μm). Levoglucosan gave a bimodal size distributionpattern with a major peak at 0.43–0.65 μm in the sub-micron mode during period 2 and period 3, suggesting itsorigin from biomass burning, whereas during period 1 the major peak was found at 4.4–5.8 μm in super-micronmode that may be due to the mixing of biomass burning derived particles with soil dust particles. Sugar alcohols(arabitol and mannitol) and primary sugars (glucose and trehalose) showed bimodal size distribution trend witha major peak at 4.4–5.8 μm in super-micron mode during all periods, perhaps due to fungal activity and soil dustre-suspension, respectively. The potential ingress of biomass burning derived particles into the lungs was calculatedto be high whereas fungal spores and soil particles were more likely found in the upper respiratory tract.Principal component analysis and correlation analysis showed that biomass burning was a major source in thesub-micron mode whereas fungal spores and vegetative soil were dominant sources for quantified sugars insuper-micron mode.

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Cite This Article

NIRMALKAR, J., DESHMUKH, D. K., DEB, M. K., TSAI, Y. I., PERVEZ, S. (2019). Characteristics of aerosol during major biomass burning events over eastern central India in winter: A tracer-based approach. Atmospheric Pollution Research, Cilt: 10 - Sayı: 3, 817–826. https://ajindex.com/articles/351451

References (13)

  1. Azhari, A., Latif, M.T., Mohamed, A.F., 2018. Road traffic as an air pollutant contributor within an industrial park environment. Atmos. Pollut. Res. 9, 680–687.
  2. Bauer, H., Claeys, M., Vermeylen, R., Schueller, E., Weinke, G., Berger, A., Puxbaum, H., 2008. Arabitol and mannitol as tracers for the quantification of airborne fungal spores. Atmos. Environ. 42, 588–593.
  3. Begum, B.A., Hopke, P.K., Markwitz, A., 2013. Air pollution by fine particulate matter in Bangladesh. Atmos. Pollut. Res. 4, 75–86.
  4. Binod, P., Sindhu, R., Singhania, R.R., Vikram, S., Devi, L., Nagalakshmi, S., Kurien, N., Sukumaran, R.K., Pandey, A., 2010. Bioethanol production from rice straw: an overview. Bioresour. Technol. 101, 4767–4774.
  5. Blazso, M., Janitsek, S., Gelencser, A., Artaxo, P., Graham, B., Andreae, M.O., 2003. Study of tropical organic aerosol by thermally assisted alkylation - gas chromatography mass spectrometry. J. Anal. Appl. Pyrolysis 68, 351–369.
  6. Bobleter, O., 1994. Hydrothermal degradation of polymers derived from plants. Prog. Polym. Sci. 19, 797–841.
  7. Burshtein, N., Lang-Yona, N., Rudich, Y., 2011. Ergosterol, arabitol and mannitol as tracers for biogenic aerosols in the eastern Mediterranean. Atmos. Chem. Phys. 11, 829–839.
  8. Cao, J.J., Li, H., Chow, J.C., Watson, J.G., Lee, S., Rong, B., Dong, J., Ho, K., 2011. Chemical composition of indoor and outdoor atmospheric particles at Emperor Qinss Terra-Cotta Museum, Xi'an, China. Air Qual. Atmos. Health 11, 70–79.
  9. Carvalho, A., Pio, C., Santos, C., 2003. Water-soluble hydroxylated organic compounds in German and Finnish aerosols. Atmos. Environ. 37, 1775–1783.
  10. Cheng, Z., Wang, S.X., Fu, X., Watson, J.G., Jiang, J.K., Fu, Q.Y., Chen, C.H., Xu, B.Y., Yu, J.S., Chow, J.C., Hao, J.M., 2014. Impact of biomass burning on haze pollution in the Yangtze River Delta, China: a case study of summer in 2011. Atmos. Chem. Phys. 14, 4573–4585.
  11. Chow, J.C., Yang, X.F., Wang, X.L., Kohl, S.D., Watson, J.G., 2015. Characterization of ambient PM10 bioaerosols in a California agricultural town. Aerosol Air Qual. Res. 15, 1433–1447.
  12. Claeys, M., Kourtchev, I., Pashynska, V., Vas, G., Vermeylen, R., Wang, W., Cafmeyer, J., Chi, X., Artaxo, P., Andreae, M.O., Maenhaut, W., 2010. Polar organic marker compounds in atmospheric aerosols during the LBA-SMOCC 2002 biomass burning experiment in Rondonia, Brazil: sources and source processes, time series, diel variations and size distributions. Atmos. Chem. Phys. 10, 9319–9331.
  13. Decesari, S., Fuzzi, S., Fa