Seasonal Air Pollution Investigation and Relation Analysis of Air Pollution Parameters to Meteorological Data (Kocaeli/Turkey)


ERENER A., SARP G., Yildirim O.

1st Springer Conference of the Arabian-Journal-of-Geosciences (CAJG), Hammamet, Tunisia, 12 - 15 November 2018, pp.355-358 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1007/978-3-030-01440-7_78
  • City: Hammamet
  • Country: Tunisia
  • Page Numbers: pp.355-358
  • Keywords: GIS, Pollution, Kriging, Regression, Wind map, Meteorological parameters

Abstract

Air pollution refers to the release of harmful, excessive amounts, above the normal values, of pollutants into the atmosphere. Although, it is crucial to map and analyze the temporal distribution of pollutants, meteorological factors also have great influence on these parameters distribution and their effect on the ecosystem. Therefore, this study aimed to analyze the relationship between dispersion characteristics of air pollution with the meteorological parameters such as, wind speed, wind direction, relative humidity, air pressure and temperature for different seasons using the correlation analysis. Additionally, the seasonal distribution changes of pollutants were mapped and analyzed using GIS techniques in Kocaeli case. In this study the daily data obtained from 8 air monitoring stations including SO2 and PM10, wind speed, wind direction, relative humidity, air pressure and temperature belonging to 2015 year were examined. Pollution and meteorological distribution maps of the study area were obtained using Kriging interpolation method using GIS. By integrating the pollution and meteorological data, the regression analyses were carried out. The results of seasonal regression analysis and pollution distribution maps were evaluated using the wind maps obtained for each seasons.