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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 11
Atmos. Chem. Phys., 11, 5141–5151, 2011
https://doi.org/10.5194/acp-11-5141-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Global Emissions Inventory Activity (GEIA): progress, evaluation...

Atmos. Chem. Phys., 11, 5141–5151, 2011
https://doi.org/10.5194/acp-11-5141-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 01 Jun 2011

Research article | 01 Jun 2011

Source apportionment of arsenic in atmospheric dust fall out in an urban residential area, Raipur, Central India

G. Balakrishna1, S. Pervez1, and D. S. Bisht2 G. Balakrishna et al.
  • 1School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur (C.G). 492010, India
  • 2Indian Institute of Tropical Meteorology Pune, Zonal Laboratory, New Delhi, India

Abstract. The components and quantities of atmospheric dust fallout have been reported to be the pollution indicator of large urban areas. The multiplicity and complexity of sources of atmospheric dusts in urban regions has put forward the need of source apportionment of these sources indicating their contribution to specific environmental receptor. The study presented here is focused on investigation of source contribution estimates of Arsenic in urban dust fallout in an urban-industrial area, Raipur, India. Source-receptor based representative sampling plan using longitudinal study design has been adopted. Six sampling sites have been identified on the basis of land use for development plan of anthropogenic activities and factors related to the transportation and dispersion pattern of atmospheric dusts. Source apportionment has been done using Chemical Mass Balance (CMB 8). Good fit parameters and relative source contribution has been analyzed and documented. Dominance of coal fired industries sources on arsenic levels measured at selected ambient residential receptors compared to line sources has been observed. Road-traffic has shown highest contribution of dust at indoor houses and out door-street automobile exhaust has shows highest contribution for arsenic. The results of CMB output and regression data of source-receptor dust matrices have shown comparable pattern.

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