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The relationship between PM10 and meteorological variables in the mega city Istanbul.
- Source :
- Environmental Monitoring & Assessment; Feb2023, Vol. 195 Issue 2, p1-19, 19p
- Publication Year :
- 2023
-
Abstract
- PM<subscript>10</subscript>, one of the air pollutants, occurs regularly in İstanbul during the winter months, namely in December, January, and February. PM<subscript>10</subscript> pollutant is affected by numerous factors. Among these factors are various meteorological variables and climatological factors. This article aims to determine the relationship between PM<subscript>10</subscript> and meteorological variables (wind speed, wind direction, temperature, and relative humidity) and to interpret these results. PM<subscript>10</subscript> and meteorological data were examined between 2011 and 2018. To determine the relationship, multiple linear regression, Pearson's correlation coefficient (PCC), Spearman's rank correlation, Kendall Tau correlation, autocorrelation function (ACF), cross-correlation function (CCF), and visuals were determined using the R program (open-air) packages. In the study, the relationship between wind, temperature, and relative humidity with PM<subscript>10</subscript> was determined, and it was observed that the PM<subscript>10</subscript> concentration was maximum between January and February. PM<subscript>10</subscript> concentrations have a positive relationship with relative humidity and wind direction, while a negative relationship with wind speed and temperature was observed. The correlation values for relative humidity and temperature were found to be 0.01 and − 0.15, respectively. Furthermore, the relationship between wind speed and PM<subscript>10</subscript> was calculated from multiple linear regression model, and the estimated value was − 0.12 while looking at the wind direction value, it was approximately 0.03. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01676369
- Volume :
- 195
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Environmental Monitoring & Assessment
- Publication Type :
- Academic Journal
- Accession number :
- 161958594
- Full Text :
- https://doi.org/10.1007/s10661-022-10866-3