ACP Atmospheric Chemistry and Physics ACP Atmos. Chem. Phys. 1680-7324 Copernicus Publications Göttingen, Germany 10.5194/acp-11-5141-2011 Source apportionment of arsenic in atmospheric dust fall out in an urban residential area, Raipur, Central India Balakrishna G. 1 Pervez S. 1 Bisht D. S. 2 School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur (C.G). 492010, India Indian Institute of Tropical Meteorology Pune, Zonal Laboratory, New Delhi, India 01 06 2011 11 11 5141 5151 Copyright: © 2011 G. Balakrishna et al. 2011 This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/ This article is available from https://acp.copernicus.org/articles/11/5141/2011/acp-11-5141-2011.html The full text article is available as a PDF file from https://acp.copernicus.org/articles/11/5141/2011/acp-11-5141-2011.pdf

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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