Source apportionment using UNMIX receptor model: A case study in Delhi

  • Arti Choudhary, Environmental Science Division, Central Road Research Institute, New Delhi, India
  • Gazala Habib Department of Civil Engineering Indian Institute of Technology Delhi
  • K· S. Babu School of Energy and Environment Thapar University Patiala
  • Pradeep Kumar Department of Physics, Indian Institute of Technology (BHU), Varanasi


The UNMIX receptor model used for apportionment of significant source of ambient aerosol in Delhi during winter season. The sampling of PM1 was done for 4 months from December–2009 to March–2010 and collected sample were chemically analysed for 12 elements (Na, K, Mn, Ca, Cd, Cr, Cu, Ni, Zn, Pb, Fe, and Mg) and 4 ions (SO4-2, NO3-, Cl-, NH4+). The UNMIX identified three sources. The source profile –1 was influence by Ca and Mn and interpreted as crustal soil, source profile –2 composed of K and Na and interpreted as biomass burning and sources profile–3 was identified by model as secondary aerosol and significantly influenced by SO4-2, NO3- and NH4+. The results validated with enrichment factor analysis, K/Na analysis and factor analysis. The measured and predicted concentration of PM1 were showing good correlation (R2 = 0.77), indicating that the UNMIX model worked well. The NO3-, K, NH4+ SO4-2 and Ca showed high correlation with R2 value greater than 0.70, while Cl-, Na, and Mn showed moderate correlation with R2, varied between 0.52–0.67. The finding can be significant for policy maker and scientists in regional climate study.


How to Cite
CHOUDHARY,, Arti et al. Source apportionment using UNMIX receptor model: A case study in Delhi. Bulletin of Environmental and Scientific Research, [S.l.], v. 8, n. 1, p. 8-15, oct. 2018. ISSN 2278-5205. Available at: <>. Date accessed: 03 mar. 2021.