The Influence of Meteorological Parameters on Pm<sub>10</Sub>: a Statistical Analysis of an Urban and Rural Environment in Izmir/Turkiye
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GOLD
Green Open Access
No
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Abstract
Air pollution is a substantial menace, especially in industrialized urban zones, which affects the balance of the environment, life of vital organisms and human health. Besides the main causes of air pollution such as dense urbanization, poor quality fuels and vehicle emissions, physical environment characteristics play an important role on air quality. Therefore, it is vital to understand the relationship between the characteristics of the natural environment and air quality. This study examines the correlations between the PM10 pollutant data and meteorological parameters such as temperature (T-air), relative humidity (RH), and wind speed (WS) and direction (WD) under the European Union's Horizon 2020 project. Two different zones (Vilayetler Evi as an urban zone and Sasali Natural Life Park as a rural zone) of Izmir Province in Turkiye are used as a case study and the PM10 data is evaluated between 1 January 2017 and 31 December 2021. A one-tailed t-test is used in order to statistically determine the relationships between the PM10 pollutant data and meteorological parameters. As a further study, practical significance of the parameters is investigated via the effect size method and the results show that the RH is found to be the most influencing parameter on the PM10 for both zones, while T-air is found to be statistically non-significant.
Description
Gokcen Akkurt, Gulden/0000-0002-3444-9610
Keywords
meteorological parameters, statistical analysis, effect size, PM10, air quality, Pm<sub>10</sub>, statistical analysis, effect size, Meteorology. Climatology, meteorological parameters, PM<sub>10</sub>, QC851-999, air quality
Fields of Science
01 natural sciences, 0105 earth and related environmental sciences
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OpenCitations Citation Count
23
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Volume
14
Issue
3
Start Page
421
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CrossRef : 5
Scopus : 29
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Mendeley Readers : 49
SCOPUS™ Citations
29
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Web of Science™ Citations
26
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2
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7
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