Receptor Modelling for Particulate Matter: Review of Indian Scenario

Article type: Research Article

Authors: Nihalani, S.A.^{; *} | Khambete, A.K. | Jariwala, N.D.

Affiliations: Civil Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat – 395007

Correspondence: [*] Corresponding Author. [email protected]

Abstract: The ambient particulate matter is characteristically regulated by its kind and local weather conditions. The kind of particulate matter is significantly related to its source. Hence, evaluation and measurement of airborne particulates and its sources assist in generating an abstract model for source apportionment (SA). SA means a method to recognize responsible sources of ambient particulate matter and its influence on the basis of species data for receptor locations. On the basis of mass balance theory and specific hypothesis, various numerical models are established to effectively enumerate sources of particulates. Nevertheless, in Indian perspective, receptor models have been used for majority of SA studies and, therefore, these models are the emphasis of this paper. Current paper discusses various source apportionment models and their application in Indian scenario.

Keywords: Principal component analysis, positive mass factorization, factor analysis, chemical mass balance

DOI: 10.3233/AJW200012

Journal: Asian Journal of Water, Environment and Pollution, vol. 17, no. 1, pp. 105-112, 2020