Source apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africa

dc.contributor.authorAdeyemi, Adewale Adekunle
dc.contributor.authorMolnar, Peter
dc.contributor.authorBoman, Johan
dc.contributor.authorWichmann, Janine
dc.contributor.emailadewale.adeyemi@up.ac.zaen_US
dc.date.accessioned2023-05-15T11:42:54Z
dc.date.available2023-05-15T11:42:54Z
dc.date.issued2022
dc.description.abstractOutdoor and indoor air pollution have been regarded as a serious issue in South Africa, with the emissions of various air pollutants and their resulting concentrations in the atmosphere being a major source of concern. For example, nearly 80% of the global population was subjected to air pollution levels that surpassed the World Health Organization (WHO) air quality guidelines in 2011. Pollution from a variety of sources has had a significant effect on air quality, posing a direct threat to the critical roles the environment plays in preserving and sustaining life by absorbing harmful ultraviolet radiation, warming the surface, and controlling the earth’s temperature. Particulate matter (PM) suspended in the air for hours or days can travel a long distance, making it a long-range transported pollutant that is influenced by particle size, chemical composition, and other physical and biological characteristics. PM2.5 (particles smaller than 2.5 μm) has received a lot of attention recently because of the negative impact it has on human health, i.e., its potential to penetrate human lungs. Furthermore, epidemiological studies have revealed a connection between PM and a variety of health problems. Source apportionment is an important air quality management tool for providing information about source contributions required for pollution abatement strategies. However, not many studies have applied air mass backward trajectory modelling with source apportionment model analysis to investigate the sources of PM.en_US
dc.description.departmentSchool of Health Systems and Public Health (SHSPH)en_US
dc.description.librarianam2023en_US
dc.description.urihttp://www.cleanairjournal.org.zaen_US
dc.identifier.citationAdeyemi, A., Molnar, P., Boman, J. et al. 2022, 'Source apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africa', Clean Air Journal, vol. 32, no. 1, pp. 1-2, doi : 10.17159/caj/2022/32/1.13931.en_US
dc.identifier.issn2410-972X
dc.identifier.other10.17159/caj/2022/32/1.13931
dc.identifier.urihttp://hdl.handle.net/2263/90682
dc.language.isoenen_US
dc.publisherNational Association for Clean Airen_US
dc.rights© 2022. The Author(s). Published under a Creative Commons Attribution Licence.en_US
dc.subjectWorld Health Organization (WHO)en_US
dc.subjectParticulate matter (PM)en_US
dc.subjectHuman healthen_US
dc.subjectHealth problemsen_US
dc.titleSource apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africaen_US
dc.typeArticleen_US

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