Atmos. Chem. Phys. Discuss., 10, 26411-26436, 2010
www.atmos-chem-phys-discuss.net/10/26411/2010/
doi:10.5194/acpd-10-26411-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Chemical mass balance estimation of arsenic in atmospheric dust fall out in an urban residential area, Raipur, Central India
G. Balakrishna1, S. Pervez1, and D. S. Bisht2
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.

Citation: Balakrishna, G., Pervez, S., and Bisht, D. S.: Chemical mass balance estimation of arsenic in atmospheric dust fall out in an urban residential area, Raipur, Central India, Atmos. Chem. Phys. Discuss., 10, 26411-26436, doi:10.5194/acpd-10-26411-2010, 2010.
 
Search ACPD
Discussion Paper
    XML
    Citation
    Final Revised Paper
    Share