Author(s):
Sakshi Gupta, Preeti Tiwari, Aparna Satsangi, Narayanasamy Vijayan, Sudhir Kumar Sharma

Abstract:
Several thousands of articles have been published globally to apportion sources of atmospheric aerosols using various statistical tools and marker elements present in the aerosols in the urban cities of the world in designing mitigation strategies to improve the air quality. In this study, the effectiveness of various statistical methods used in source identifications and quantifications of atmospheric aerosols are discussed. This paper also discussed the importance of source identifications of aerosols chemistry using various receptor models. We have applied IMPROVE (Interagency Monitoring of Protected Visual Environments), PCA (principal component analysis) and PMF (positive matrix factorization) models on chemical species of PM2.5 collected at an urban site of Delhi, India, over the period January to December 2021 and explored the better and accurate source analysis of the PM2.5. A comparative analysis of these models was conducted to assess their performance in resolving source contributions. The results highlight the strengths and limitations of each method and offer insights into their applicability for accurate source apportionment in complex urban environments.

Pages: 628-637

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