4.7 Article

The contribution of road traffic to particulate matter and metals in air pollution in the vicinity of an urban road

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trd.2016.11.024

关键词

Particulate matter (PM); Sources of PM; Air pollution; Metals; Statistical methods

资金

  1. Scientific Grant Agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic
  2. Slovak Academy of Sciences [VEGA 1/0557/14]

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A detailed investigation was conducted to study the sources of particulate matter in the vicinity of an urban road in Zilina. To determine the amount of particulate matter (PM10, PM2.5 and PM1) present in the ambient air, a reference gravimetric method was used. The main objective of this contribution was to identify the sources of these particles by means of statistical methods, specifically principal component analysis (PCA), factor analysis (FA), and absolute principal component scores (APCS), as well as Using the presence of 17 metals in the particulate matter (Na, Mg, Al, Ca, V, Cr, Fe, Mn, Ni, Cu, Zn, As, Mo, Sb, Cd, Ba, Pb). To identify the metals in the particulate matter samples and to determine their abundances, spectroscopic methods were used, specifically inductively coupled plasma mass spectrometry (ICP-MS). Each of these metals may come from a specific source, such as the burning of fossil fuels in fossil fuel power plants; local heating of households; the burning of liquefied fossil fuels in the combustion engines of vehicles; the burning of coal and wood; non-combustion related emissions resulting from vehicular traffic; resuspension of traffic-related dust; and industry. Diesel vehicles and non-combustion emissions from road traffic have been identified as two key sources of the particulate matter. The results reveal that non-combustion emissions, which are associated with the elements Na, Fe, Mn, Ni, Zn, Mo, Sb, Cd, and Pb, are the major contributors, followed by combustion emissions from diesel vehicles, which are associated with the elements Mg, Ca, and Ba. (C) 2016 Elsevier Ltd. All rights reserved.

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