Quantifying sources of particulate matter pollution at different categories of landuse in an urban setting using receptor modelling

Sustainable Environment Research

Volumn 23, Issue 6, 2013, Pages 393-402

  Sharma, Sumit ^a   Panwar, Trilok Singh ^a   Hooda, Rakesh Kumar ^a  

^a THE ENERGY AND RESOURCES INSTITUTE   (India)

Author keywords

Emissions; Receptor modelling; Source apportionment; Urban air pollution

Indexed keywords

AIR QUALITY; DECISION MAKING; ORGANIC CARBON; PARTICLES (PARTICULATE MATTER); PARTICULATE EMISSIONS;

AMBIENT PARTICULATE MATTER; CHEMICAL MASS BALANCE; DIESEL GENERATOR SETS; PARTICULATE MATTER POLLUTION; RECEPTOR MODELLING; SOURCE APPORTIONMENT; SOURCE CONTRIBUTIONS; URBAN AIR POLLUTION;

AIR POLLUTION CONTROL;

EID: 84894573004     PISSN: 24682039     EISSN: 24682039     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. Schwartz, J., D.W. Dockery and L.M. Neas, Is daily mortality associated specifically with fine particles? J. Air Waste Manage. Assoc., 46(10), 927-939 (1996).
2. Chan, Y.C., R.W. Simpson, G.H. Mctainsh, P.D. Vowles, D.D. Cohen and G.M. Bailey, Source apportionment of visibility degradation problems in Brisbane (Australia) using the multiple linear regression techniques. Atmos. Environ., 33(19), 3237-3250 (1999).
3. Harrison, R.M. and J.X. Yin, Particulate matter in the atmosphere: Which particle properties are important for its effects on health? Sci. Total Environ., 249(1-3), 85-101 (2000).
4. Calcabrini, A., S. Meschini, M. Marra, L. Falzano, M. Colone, B. De Berardis, L. Paoletti, G. Arancia and C. Fiorentini, Fine environmental particulate engenders alterations in human lung epithelial A549 cells. Environ. Res., 95(1), 82-91 (2004).
5. Wilson, W.E. and H.H. Suh, Fine particles and coarse particles: Concentration relationships relevant to epidemiologic studies. J. Air Waste Manage. Assoc., 47(12), 1238-1249 (1997).
6. Energy Sector Management Assistance Programme, Toward Cleaner Urban Air in South Asia: Tackling Transport Pollution, Understanding Sources. World Bank, Washington, DC (2004).
7. USEPA, Integrated Environmental Strategies, Source Apportionment Study in Hyderabad, India. US Environment Protection Agency, Washington, DC (2008).
8. Pervez, S., G. Balakrishna and S. Tiwari, Source apportionment of mercury in dust fallout at urban residential area of Central India. Atmos. Chem. Phys. Discuss., 9(5), 21915-21940 (2009).
9. Chelani, A.B., D.G. Gajghate and S. Devotta, Source apportionment of PM10 in Mumbai, India using CMB model. B. Environ. Contam. Tox., 81(2), 190-195 (2008).
10. Kushwaha, R., A. Srivastava, H. Lal, B. Ghosh and V.K. Jain, Particles size distribution of aerosols and associated metals, and source estimation in Delhi, India. Sustain. Environ. Res., 22(5), 317-325 (2012).
11. Srivastava, A., Source apportionment of ambient VOCS in Mumbai city. Atmos. Environ., 38(39), 6829-6843 (2004).
12. Sethi, V. and R.S. Patil, Development of Air Pollution Source Profiles - Stationary Sources Volume 1. Indian Institute of Technology Bombay, Mumbai, India (2008).
13. Friedlander, S.K., Chemical element balances and identification of air pollution sources. Environ. Sci. Technol., 7(3), 235-240 (1973).
14. Cooper, J.A. and J.G. Watson, Receptor oriented methods of air particulate source apportionment. J. Air Pollut. Control Assoc., 30(10), 1116-1125 (1980).
15. Gordon, G.E., Receptor models. Environ. Sci. Technol., 14(7), 792-800 (1980).
16. Watson, J.G., Overview of receptor model principles. J. Air Pollut. Control Assoc., 34(6), 619-623 (1984).
17. Hidy, G.M. and C. Venkataraman, The chemical mass balance method for estimating atmospheric particle sources in southern California. Chem. Eng. Commun., 151, 187-209 (1996).
18. Hopke, P.K., Receptor Modeling in Environmental Chemistry. Wiley, New York (1985).
19. USEPA, EPA-CMB8.2 Users Manual. US Environmental Protection Agency, Research Triangle Park, NC (2004).
20. Yue, W.S., X.L. Li, J.F. Liu, Y. Li, X.H. Yu, B. Deng, T.M. Wan, G.L. Zhang, Y.Y. Huang, W. He, W. Hua, L.Y. Shao, W.J. Li and S.S. Yang, Characterization of PM2.5 in the ambient air of Shanghai city by analyzing individual particles. Sci. Total Environ., 368(2-3), 916-925 (2006).
21. Song, Y., S.D. Xie, Y.H. Zhang, L.M. Zeng, L.G. Salmon and M. Zheng, Source apportionment of PM2.5 in Beijing using principal component analysis/absolute principal component scores and UNMIX. Sci. Total Environ., 372(1), 278-286 (2006).
22. Oanh, K.N.T., Receptor modeling for source apportionment of particulate matter in the Bangkok metropolitan region. Better Air Quality 2003 Workshop. Manila, Philippines, Dec. 17-19 (2003).
23. Begum, B.A., S.K. Biswas, A. Markwitz and P.K. Hopke, Identification of sources of fine and coarse particulate matter in Dhaka, Bangladesh. Aerosol Air Qual. Res., 10(4), 345-353 (2010).
24. Cohen, D.D., J. Crawford, E. Stelcer and V.T. Bac, Characterisation and source apportionment of fine particulate sources at Hanoi from 2001 to 2008. Atmos. Environ., 44(3), 320-328 (2010).
25. CPCB, Air Quality Monitoring, Emission, Inventory, and Source Apportionment Study for Indian Cities. Central Pollution Control Board, Delhi, India (2011).
26. Rahman, S.A., M.S. Hamzah, A.K. Wood, M.S. Elias, N.A.A. Salim and E. Sanuri, Sources apportionment of fine and coarse aerosol in Klang Valley, Kuala Lumpur using positive matrix factorization. Atmos. Pollut. Res., 2(2), 197-206 (2011).
27. Guo, H., A.J. Ding, K.L. So, G. Ayoko, Y.S. Li and W.T. Hung, Receptor modeling of source apportionment of Hong Kong aerosols and the implication of urban and regional contribution. Atmos. Environ., 43(6), 1159-1169 (2009).