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Investigation of PM10 sources in Santa Catarina, Brazil through graphical interpretation analysis combined with receptor modelling

Citation

Hoinaski, L and Franco, D and Stuetz, RM and Sivret, E and Lisboa, HdM, Investigation of PM10 sources in Santa Catarina, Brazil through graphical interpretation analysis combined with receptor modelling, Environmental Technology, 34, (17) pp. 2453-2463. ISSN 0959-3330 (2013) [Refereed Article]

Copyright Statement

Copyright 2013 Taylor & Francis

DOI: doi:10.1080/21622515.2013.772659

Abstract

Epidemiological studies have documented that elevated airborne particulate matter (PM) concentrations, especially those with an aerodynamic diameter less than 10 μm (PM10), are associated with adverse health effects. Two receptor models, UNMIX and positive matrix factorization (PMF), were used to identify and quantify the sources of PM10 concentrations in Tubarão and Capivari de Baixo, Santa Catarina, Brazil. This region is known for its high pollution levels due to intense industrial activity and exploitation of natural resources. PM10 samples were collected using high volume samplers at two sites in the region and statistical exploratory analysis techniques were applied to identify and assess PM10 sources. The two primary PM10 sources were identified as soil re-suspension/road dust emissions and coal burning emissions, contributing 65–75% and 15–25% of the PM10, respectively. The study confirmed the significance of the influence of local PM10 emissions (power plants, soil re-suspension and road dust emissions) on regional air quality, although no violations of the Brazilian PM10 standards (limit of 150 μg/m3) were observed, with a mean concentration of 27.6 μg/m3 measured in this study. This study demonstrated the usefulness of statistical exploratory analysis techniques in assessing the validity of modelling results and contributing to the interpretation of ambient air quality data.

Item Details

Item Type:Refereed Article
Keywords:air pollution, PM10, PMF, UNMIX
Research Division:Earth Sciences
Research Group:Atmospheric sciences
Research Field:Atmospheric composition, chemistry and processes
Objective Division:Commercial Services and Tourism
Objective Group:Water and waste services
Objective Field:Water recycling services (incl. sewage and greywater)
UTAS Author:Sivret, E (Dr Eric Sivret)
ID Code:140894
Year Published:2013
Web of Science® Times Cited:1
Deposited By:Engineering
Deposited On:2020-09-14
Last Modified:2020-10-20
Downloads:0

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