Asha B. Chelani

  • Air Pollution Control Division, National Environmental Engineering Research Institute (CSIR-NEERI), Nagpur, India

Received: September 13, 2012
Revised: March 6, 2013
Accepted: March 6, 2013
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Cite this article:
Chelani, A.B (2013). Statistical Characteristics of Ambient PM2.5 Concentration at a Traffic Site in Delhi: Source Identification Using Persistence Analysis and Nonparametric Wind Regression. Aerosol Air Qual. Res. 13: 1768-1778.



The source and origin of the ambient PM2.5 concentration at a traffic site in Delhi was studied using the persistence analysis and nonparametric wind regression (NWR) technique. The analysis was performed for the original PM2.5 data observed during 2007–2009, by removing seasonal and trend patterns (PM2.5-AR1), and for the exceedance time series. Detrended fluctuation analysis showed the strong persistence in the original and exceeded PM2.5 time series. This behavior was linked with the self-organized criticality of the process generating PM2.5 concentrations. NWR analysis was carried out to infer the sources of PM2.5 concentrations in the area. Power plants and medium scale industries along with the local transport emissions were found to be responsible for PM2.5 emissions at the site. Analysis of seasonal variations showed significant contributions from medium scale industries and power plants in winter, and dust storms and industrial contribution in summer. An analysis of the results obtained during calm conditions suggests the dominance of local transport emissions along with the above sources of PM2.5 concentrations at the site.

Keywords: PM2.5 concentration; Source characterization; Nonparametric wind regression; Persistence analysis

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