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Rajput, Prashant; Mandaria, Anil; Kachawa, Lokesh; Singh, Dharmendra Kumar; Singh, Amit Kumar; Gupta, Tarun (2016)
Publisher: Tellus B
Journal: Tellus B
Languages: English
Types: Article
Subjects: local sources, Meteorology. Climatology, QC851-999, Kanpur, PM1, PM1, local sources, long-range transport, PMF, Kanpur, Indo-Gangetic Plain, long-range transport, PMF, Indo-Gangetic Plain
This study assesses temporal variability and source contributions of PM1 (particles with aerodynamic diameter ≤ 1.0 µm) samples (n=51; November 2009–February 2010) from an urban location at Kanpur (26.30°N; 80.13°E; 142 m above mean sea-level) in the Indo-Gangetic Plain (IGP). A study period from November to February is preferred owing to massive loading of particulate matter in entire IGP. PM1 varies from 18 to 348 (Avg±SD: 113±72) µg m−3 in this study. A total of 11 trace metals, five major elements and four water-soluble inorganic species (WSIS) have been measured. Mass fraction of total metals (∑metals=trace+major) centres at 18±14 %, of which nearly 15 % is contributed by major elements. Furthermore, ∑WSIS contributes about 26 % to PM1 mass concentration. Abundance pattern among assessed WSIS in this study follows the order: ≈ > > Cl−. The K-to-PM1 mass fraction (Avg: 2 %) in conjunction with air-mass back trajectories (AMBT) indicates that the prevailing north-westerly winds transport biomass burning derived pollutants from upwind IGP. A recent version of positive matrix factorisation (PMF 5.0) has been utilised to quantify the contribution of fine-mode aerosols from various sources. The contribution from each source is highly variable and shows a strong dependence on AMBT. Events with predominant contribution from biomass burning emission (>70 %) indicate origin of air-masses from source region upwind in IGP. One of the most interesting features of our study relates to the observation that secondary aerosols (contributing as high as ~60 % to PM1 loading) are predominantly derived from stationary combustion sources (/ ratio: 0.30±0.23). Thus, our study highlights a high concentration of PM1 loading and atmospheric fog prevalent during wintertime can have a severe impact on atmospheric chemistry in the air-shed of IGP.Keywords: PM1, local sources, long-range transport, PMF, Kanpur, Indo-Gangetic Plain(Published: 26 July 2016)Citation: Tellus B 2016, 68, 30659, http://dx.doi.org/10.3402/tellusb.v68.30659
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    • Chakraborty, A. and Gupta, T. 2010. Chemical characterization and source apportionment of submicron (PM1) aerosol in Kanpur region. Aerosol Air Qual. Res. 10, 433 445.
    • Draxler, R. R. and Rolph, G. D. 2003. HYSPLIT (Hybrid SingleParticle Lagrangian Integrated Trajectory) Model Access via NOAA ARL READY Website (http://www.arl.noaa.gov/ready/ hysplit4.html). NOAA Air Resources Laboratory, Silver Spring, MD.
    • Gupta, T. and Mandaria, A. 2013. Sources of submicron aerosol during fog dominated wintertime at Kanpur. Environ. Sci. Pollut. Res. 20, 5615 5629. DOI: http://dx.doi.org/10.1007/s11356- 11013-11580-11356
    • He, L.-Y., Huang, X.-F., Xue, L., Hu, M., Lin, Y. and co-authors. 2011. Submicron Aerosol analysis and organic source apportionment in an urban atmosphere in Pearl River Delta of China using high-resolution aerosol mass spectrometry. Atmos. Chem. Phys. 116, D12304. DOI: http://dx.doi.org/12310.11029/12010 JD014566
    • Huang, X.-F., He, L.-Y., Hu, M., Canagaratna, M. R., Kroll, J. H. and co-authors. 2011. Characterization of submicron aerosols at a rural site in Pearl River Delta of China using an Aerodyne High-Resolution Aerosol Mass Spectrometer. Atmos. Chem. Phys. 11, 1865 1877.
    • Lanz, V. A., Pre´ voˆ t, A. S. H., Alfarra, M. R., Weimer, S., Mohr, C. and co-authors. 2010. Characterization of aerosol chemical composition with aerosol mass spectrometry in Central Europe: an overview. Atmos. Chem. Phys. 10, 10453 10471.
    • Li, Y. J., Lee, B. P., Su, L., Fung, J. C. H. and Chan, C. K. 2015. Seasonal characteristics of fine particulate matter (PM) based on high-resolution time-of-flight aerosol mass spectrometric (HR-ToF-AMS) measurements at the HKUST Supersite in Hong Kong. Atmos. Chem. Phys. 15, 37 53.
    • Mehta, B., Venkataraman, C., Bhushan, M. and Tripathi, S. N. 2009. Identification of sources affecting fog formation using receptor modeling approaches and inventory estimates of sectoral emissions. Atmos. Environ. 43, 1288 1295.
    • Menon, S., Hansen, J., Nazarenko, L. and Luo, Y. 2002. Climate effects of black Carbon Aerosols in China and India. Science 297, 2250 2253.
    • Paatero, P., Eberly, S., Brown, S. G. and Norris, G. A. 2014. Methods for estimating uncertainty in factor analytic solutions. Atmos. Meas. Tech. 7, 781 797.
    • Pathak, R. K., Wu, W. S. and Wang, T. 2009. Summertime PM2.5 ionic species in four major cities of China: nitrate formation in an ammonia-deficient atmosphere. Atmos. Chem. Phys. 9, 1711 1722.
    • Rajput, P., Mandaria, A., Kachawa, L., Singh, D. K., Singh, A. K. and co-authors. 2015. Wintertime source-apportionment of PM1 from Kanpur in the Indo-Gangetic Plain. Clim. Change. 1, 503 507.
    • Rajput, P., Sarin, M. M. and Kundu, S. S. 2013. Atmospheric particulate matter (PM2.5), EC, OC, WSOC and PAHs from NE-Himalaya: abundances and chemical characteristics. Atmos. Pollut. Res. 4, 214 221.
    • Rajput, P., Sarin, M. M. and Rengarajan, R. 2011. High-precision GC-MS analysis of atmospheric polycyclic aromatic hydrocarbons (PAHs) and isomer ratios from biomass burning emissions. J. Environ. Protect. 2, 445 453.
    • Rajput, P., Sarin, M. M., Sharma, D. and Singh, D. 2014a. Atmospheric polycyclic aromatic hydrocarbons and isomer ratios as tracers of biomass burning emissions in Northern India. Environ. Sci. Pollut. Res. 21, 5724 5729.
    • Rajput, P., Sarin, M. M., Sharma, D. and Singh, D. 2014b. Characteristics and emission budget of carbonaceous species from post-harvest agricultural-waste burning in source region of the Indo-Gangetic Plain. Tellus B. 66, 21026. DOI: http://dx.doi. org/10.3402/tellusb.v66.21026
    • Rajput, P., Sarin, M. M., Sharma, D. and Singh, D. 2014c. Organic aerosols and inorganic species from post-harvest agricultural-waste burning emissions over northern India: impact on mass absorption efficiency of elemental carbon. Environ. Sci. Process. Impacts. 16, 2371 2379.
    • Ramanathan, V., Ramana, M. V., Roberts, G., Kim, D., Corrigan, C. and co-authors. 2007. Warming trends in Asia amplified by brown cloud solar absorption. Nature. 448, 575 578.
    • Rastogi, N., Singh, A., Singh, D. and Sarin, M. M. 2014. Chemical characteristics of PM2.5 at a source region of biomass burning emissions: Evidence for secondary aerosol formation. Environ. Pollut 184, 563 569.
    • Rengarajan, R., Sarin, M. M. and Sudheer, A. K. 2007. Carbonaceous and inorganic species in atmospheric aerosols during wintertime over urban and high-altitude sites in North India. J. Geophys. Res. Atmos 112, D21307.
    • Ripoll, A., Minguillo´ n, M. C., Pey, J., Jimenez, J. L., Day, D. A. and co-authors. 2015. Long-term real-time chemical characterization of submicron aerosols at Montsec (southern Pyrenees, 1570 m a.s.l.). Atmos. Chem. Phys. 15, 2935 2951.
    • Singh, A., Rajput, P., Sharma, D., Sarin, M. M. and Singh, D. 2014. Black Carbon and elemental Carbon from Postharvest Agricultural-Waste Burning Emissions in the Indo-Gangetic Plain. Adv. Meteorol. 2014, 10.
    • Singh, D. K., Sharma, S., Habib, G. and Gupta, T. 2015. Speciation of atmospheric polycyclic aromatic hydrocarbons (PAHs) present during fog time collected submicron particles. Environ. Sci. Pollut. Res. 22, 12458 12468. DOI: http://dx.doi. org/10.1007/s11356-11015-14413-y
    • Srinivas, B., Kumar, A., Sarin, M. M. and Sudheer, A. K. 2011. Impact of continental outflow on chemistry of atmospheric aerosols over tropical Bay of Bengal. Atmos. Chem. Phys. Discuss. 11, 20667 20711.
    • Surratt, J. D., G o´mez-Gonz a´lez, Y., Chan, A. W. H., Vermeylen, R., Shahgholi, M. and co-authors. 2008. Organosulfate formation in biogenic secondary organic aerosol. J. Phys. Chem. A. 112, 8345 8378.
    • Tripathi, S. N., Dey, S., Tare, V. and Satheesh, S. K. 2005. Aerosol black carbon radiative forcing at an industrial city in northern India. Geophys. Res. Lett. 32, L08802. DOI: http://dx.doi.org/ 10.1029/2005GL022515
    • Zhang, J. K., Sun, Y., Liu, Z. R., Ji, D. S., Hu, B. and co-authors. 2014. Characterization of submicron aerosols during a month of serious pollution in Beijing, 2013. Atmos. Chem. Phys. 14, 2887 2903.
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