Analysing of atmospheric conditions and their effects on air quality in Istanbul using SODAR and CEILOMETER

• Published in: Environmental science and pollution research international 2022-03, Vol.29 (11), p.16213-16232
• Main Authors: Yavuz, Veli, Özen, Cem, Çapraz, Özkan, Özdemir, Emrah Tuncay, Deniz, Ali, Akbayır, İbrahim, Temur, Hande
• Format: Article
• Language: English
• Subjects: air; Air monitoring; air pollutants; Air Pollutants - analysis; Air pollution; Air Pollution - analysis; Air quality; Aquatic Pollution; Atmospheric conditions; Atmospheric Protection/Air Quality Control/Air Pollution; Cities; Cross correlation; Earth and Environmental Science; Ecotoxicology; Environment; Environmental Chemistry; Environmental Health; Environmental Monitoring; Environmental science; High pressure; Mathematical models; Meteorological parameters; Nitrogen dioxide; Outdoor air quality; Particulate matter; Particulate Matter - analysis; Pollutants; Pollution dispersion; Pollution monitoring; Remote sensing; Remote sensing systems; Research Article; Sodar; temporal variation; Trajectory analysis; Waste Water Technology; Water Management; Water Pollution Control; Weather; Weather forecasting; weather research and forecasting model; wind; Wind speed
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-021-16958-w

In this study, first, air pollution that is caused by the air pollutants’ concentration exceeding the limit value in Istanbul between 2017 and 2020 were analysed. In addition to this analysis, the effects of meteorological parameters on pollution were also examined within the same period of time. Second, for a 14-day period during which the concentration values of the air pollutants were calculated higher than the standards, therefore, were selected as an episode. In that respect, measurements of both pollutant and meteorological parameters were obtained from air quality monitoring stations. The Weather Research and Forecasting (WRF) model was used to examine the changes of meteorological parameters in the surface and upper atmospheric levels. The cross-correlation function (CCF) was performed together with both air quality monitoring station and the WRF model output data to examine the effects of temporal changes in meteorological parameters on air pollutant concentrations on a temporal scale. In addition, some meteorological parameters were obtained from remote sensing systems (SODAR and Ceilometer). Finally, with the help of the trajectory analysis model, it was determined whether the pollutant parameters were transported or not. Consequently, within a 3-year period, the most critical parameters in terms of pollution throughout the city were assessed as NO 2 and PM 10 . Moreover, low wind speeds and high pressure values during the episode prevented the dispersion of pollutants and caused air pollution in Istanbul.