Abstract
Dendrogram (DE), heat map (HM) and principal component analysis (PCA) methods were used in order to identify possible emission sources of As, Cd, Co, Cr, Hg, Mn, Ni, Pb, Sb and Se in ambient PM10 collected in the surroundings of working power plants. Each statistical tool resulted in slightly different clusters. The best approximation of possible emission sources was received by the use of statistical analysis of trace-element concentrations combined with characterization of the sampling sites. In the study, PCA was indicated as the most useful statistical tool for source apportionment of trace elements in PM10. Major sources identified by PCA included: (1) coal combustion, (2) soil and road-dust resuspension, (3) the use of pesticides and (4) waste incineration.
| Original language | English |
|---|---|
| Pages (from-to) | 163-170 |
| Number of pages | 8 |
| Journal | Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering |
| Volume | 58 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- Dendrogram
- PCA
- PM10
- heat map
- outdoor air
- trace elements
ASJC Scopus subject areas
- Environmental Engineering
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