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Seasonal variations in PM10 inorganic composition in the Andean city
Dalarna University, School of Technology and Business Studies, Microdata Analysis. Intelligent and Interactive Systems Lab (SI2 Lab) Universidad de Las Américas (UDLA), Quito, Ecuador.ORCID iD: 0000-0002-3650-9162
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2020 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 10, no 1, article id 17049Article in journal (Refereed) Published
Abstract [en]

Particulate matter (PM) is one of the key pollutants causing health risks worldwide. While the preoccupation for increased concentrations of these particles mainly depends on their sources and thus chemical composition, some regions are yet not well investigated. In this work the composition of chemical elements of atmospheric PM10 (particles with aerodynamic diameters ≤ 10 µm), collected at the urban and suburban sites in high elevation tropical city, were chemically analysed during the dry and wet seasons of 2017-2018. A large fraction (~ 68%) of PM10 composition in Quito, Ecuador is accounted for by water-soluble ions and 16 elements analysed using UV/VIS spectrophotometer and Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES). Hierarchical clustering analysis was performed to study a correlation between the chemical composition of urban pollution and meteorological parameters. The suburban area displays an increase in PM10 concentrations and natural elemental markers during the dry (increased wind intensity, resuspension of soil dust) season. Meanwhile, densely urbanized area shows increased total PM10 concentrations and anthropogenic elemental markers during the wet season, which may point to the worsened combustion and traffic conditions. This might indicate the prevalence of cardiovascular and respiratory problems in motorized areas of the cities in the developing world.

Place, publisher, year, edition, pages
2020. Vol. 10, no 1, article id 17049
National Category
Earth and Related Environmental Sciences
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis
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URN: urn:nbn:se:du-35257DOI: 10.1038/s41598-020-72541-2ISI: 000582687900029PubMedID: 33046746Scopus ID: 2-s2.0-85092527209OAI: oai:DiVA.org:du-35257DiVA, id: diva2:1478135
Available from: 2020-10-21 Created: 2020-10-21 Last updated: 2025-02-07Bibliographically approved

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Rybarczyk, Yves

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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