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Source apportionment of SPM by positive matrix factorization and PM2.5 analysis in an urban industrial area

Pallavi Pradeep Khobragade (Department of Civil Engineering, National Institute of Technology Raipur, Raipur, India)
Ajay Vikram Ahirwar (Department of Civil Engineering, National Institute of Technology Raipur, Raipur, India)

World Journal of Engineering

ISSN: 1708-5284

Article publication date: 10 May 2021

48

Abstract

Purpose

The purpose of this study is to monitor suspended particulate matter (SPM), PM2.5 and source apportionment study for the identification of possible sources during the year 2018–2019 at Raipur, India.

Design/methodology/approach

Source apportionment study was performed using a multivariate receptor model, positive matrix factorization (PMFv5.0) with a view to identify the various possible sources of particulate matter in the area. Back-trajectory analysis was also performed using NOAA-HYSPLIT model to understand the origin and trans-boundary movement of air mass over the sampling location.

Findings

Daily average SPM and PM2.5 aerosols mass concentration was found to be 377.19 ± 157.24 µg/m³ and 126.39 ± 37.77 µg/m³ respectively. SPM and PM2.5 mass concentrations showed distinct seasonal cycle; SPM – (Winter ; 377.19 ±157.25 µg/m?) > (Summer; 283.57 ±93.18 µg/m?) > (Monsoon; 33.20 ±16.32 µg/m?) and PM2.5 – (Winter; 126.39±37.77 µg/m³) > (Summer; 75.92±12.28 µg/m³). Source apportionment model (PMF) have been applied and identified five major sources contributing the pollution; steel production and industry (68%), vehicular and re-suspended road dust (10.1%), heavy oil combustion (10.1%), tire wear and brake wear/abrasion (8%) and crustal/Earth crust (3.7%). Industrial activities have been identified as major contributing factor for air quality degradation in the region.

Practical implications

Chemical characterization of aerosols and identification of possible sources will be helpful in abatement of pollution and framing mitigating strategies. It will also help in standardization of global climate model.

Originality/value

The findings provide valuable results to be considered for controlling air pollution in the region.

Keywords

Citation

Khobragade, P.P. and Ahirwar, A.V. (2021), "Source apportionment of SPM by positive matrix factorization and PM2.5 analysis in an urban industrial area", World Journal of Engineering, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/WJE-11-2020-0550

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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