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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Meteorological Parameters versus PM10: Statistical
Analysis of the City of Skopje, Republic of North
Macedonia Using Multiple Linear Regression
1
Institute for Geography, Faculty of Natural Science and Mathematics, Ss. Cyril and Methodius University;
Arhimedova 3, 1000, Skopje
Submission date: 2024-10-15
Final revision date: 2025-03-14
Acceptance date: 2025-04-19
Online publication date: 2025-06-18
Corresponding author
Emilija Manevska
Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, Arhimedova 3, 1000, Skopje, North Macedonia
Faculty of Natural Sciences and Mathematics, Ss. Cyril and Methodius University in Skopje, Arhimedova 3, 1000, Skopje, North Macedonia
KEYWORDS
TOPICS
ABSTRACT
This scientific paper aims to analyze the multilinear regression between the meteorological
parameters air temperature (Tair), relative humidity (RH), wind speed (WS), and precipitation (P) to
statistically determine the impact on the concentration of PM10 pollutant. Since the city of Skopje has
the most polluted air in the region, particularly in winter, this scientific research focuses on exploring
the correlations between the meteorological parameters and the air pollution from PM10. The results
proved the moderate negative correlation (r = -0.76, p= 0.0001) between air temperature and PM10
versus the moderate positive correlation (r = 0.42, p = 0.24) between relative humidity and PM10 and the
weak negative correlation between wind speed and PM10 (r = -0.32, p = 0.06) and (r = -0.19, p = 0.001)
for precipitation. The model was tested with a goodness-of-fit test and ANOVA, and it was proved that
the model was adequate. It can be concluded that there can be different results in the correlation because
of different climate, geographical position, topography, and socioeconomic factors in the region.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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