Literature DB >> 29660707

Source apportionment studies on particulate matter (PM10 and PM2.5) in ambient air of urban Mangalore, India.

Gopinath Kalaiarasan1, Raj Mohan Balakrishnan2, Neethu Anitha Sethunath1, Sivamoorthy Manoharan1.   

Abstract

Particulate matter (PM10 and PM2.5) samples were collected from six sites in urban Mangalore and the mass concentrations for PM10 and PM2.5 were measured using gravimetric technique. The measurements were found to exceed the national ambient air quality standards (NAAQS) limits, with the highest concentration of 231.5 μg/m3 for PM10 particles at Town hall and 120.3 μg/m3 for PM2.5 particles at KMC Attavar. The elemental analysis using inductively coupled plasma optical emission spectrophotometer (ICPOES) revealed twelve different elements (As, Ba, Cd, Cr, Cu, Fe, Mg, Mn, Mo, Ni, Sr and Zn) for PM10 particles and nine different elements (Ba, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Sr and Zn) for PM2.5 particles. Similarly, ionic composition of these samples measured by ion chromatography (IC) divulged nine different ions (F-, Cl-, NO3-, PO43-, SO42-, Na+, K+, Mg2+ and Ca2+) for PM10 particles and ten different ions (F-, Cl-, NO3-, PO43-, SO42-, Na+, NH4+, K+, Mg2+ and Ca2+) for PM2.5 particles. The source apportionment study of PM10 and PM2.5 for urban Mangalore in accordance with these six sample sites using chemical mass balance model (CMBv8.2) revealed nine and twelve predominant contributors for both PM10 and PM2.5, respectively. The highest contributor of PM10 was found to be paved road dust followed by diesel and gasoline vehicle emissions. Correspondingly, PM2.5 was found to be contributed mainly from two-wheeler vehicle emissions followed by four-wheeler and heavy vehicle emissions (diesel vehicles). The current study depicts that the PM10 and PM2.5 in ambient air of Mangalore region has 70% of its contribution from vehicular emissions (both exhaust and non-exhaust).
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemical mass balance; Mangalore; Particulate matter; Source apportionment; Vehicular emissions

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Year:  2018        PMID: 29660707     DOI: 10.1016/j.jenvman.2018.04.040

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Source Apportionment of Fine Particulate Matter during the Day and Night in Lanzhou, NW China.

Authors:  Mei Zhang; Jia Jia; Bo Wang; Weihong Zhang; Chenming Gu; Xiaochen Zhang; Yuanhao Zhao
Journal:  Int J Environ Res Public Health       Date:  2022-06-09       Impact factor: 4.614

2.  Combining Cluster Analysis of Air Pollution and Meteorological Data with Receptor Model Results for Ambient PM2.5 and PM10.

Authors:  Héctor Jorquera; Ana María Villalobos
Journal:  Int J Environ Res Public Health       Date:  2020-11-15       Impact factor: 3.390

  2 in total

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