The relationship between PM10 and meteorological variables in the mega city Istanbul

Birinci E., Deniz A., Özdemir E. T.

Environmental Monitoring and Assessment, vol.195, no.2, 2023 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 195 Issue: 2
  • Publication Date: 2023
  • Doi Number: 10.1007/s10661-022-10866-3
  • Journal Name: Environmental Monitoring and Assessment
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Compendex, EMBASE, Environment Index, Food Science & Technology Abstracts, Geobase, Greenfile, MEDLINE, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Temperature, Wind speed, Istanbul, Relative humidity, Air pollution, Megacity
  • Istanbul Technical University Affiliated: Yes

Abstract

© 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.PM10, one of the air pollutants, occurs regularly in İstanbul during the winter months, namely in December, January, and February. PM10 pollutant is affected by numerous factors. Among these factors are various meteorological variables and climatological factors. This article aims to determine the relationship between PM10 and meteorological variables (wind speed, wind direction, temperature, and relative humidity) and to interpret these results. PM10 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 PM10 was determined, and it was observed that the PM10 concentration was maximum between January and February. PM10 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 PM10 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.