Functional analysis of variance of air pollution caused by fine particles
Environmental pollution is harmful to human health, as it can lead to chronic respiratory diseases. In particular, fine particles suspended in the air (PM2.5) count among the most aggressive air pollutants. PM2.5 levels vary depending on local conditions. The goal of this work was to compare year...
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| Main Author: | |
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| Format: | article |
| Language: | EN ES |
| Published: |
Pontificia Universidad Javeriana
2020
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| Subjects: | |
| Online Access: | https://doaj.org/article/d3c2e9425b0341b482c7ebb7841f9b3f |
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| Summary: | Environmental pollution is harmful to human health, as it can lead to chronic
respiratory diseases. In particular, fine particles suspended in the air (PM2.5)
count among the most aggressive air pollutants. PM2.5 levels vary depending
on local conditions. The goal of this work was to compare year-round airborne
PM2.5 readings from three air quality surveillance stations in Cali (Colombia)
to determine whether these show significant spatial and temporal variation. We
subjected the obtained PM2.5 dataset to a functional analysis of variance. We
observed that PM2.5 levels vary significantly among the three measurement sites
on a temporal scale. Whereas in the morning hours PM2.5 levels among the three
sites differed most, in the afternoon and evening hours, the corresponding PM2.5
levels were not significantly different. |
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