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

Yavuz V., Ozen C., Capraz O., Ozdemir E. T., Deniz A., Akbayır İ., ...Daha Fazla

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, cilt.29, sa.11, ss.16213-16232, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 11
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s11356-021-16958-w
  • Dergi Adı: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace Database, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.16213-16232
  • Anahtar Kelimeler: Air pollution, Istanbul, SODAR, Ceilometer, WRF model, HYSPLIT System, BOUNDARY-LAYER CLOUDS, TEMPORAL VARIATIONS, MIXING HEIGHT, POLLUTION, MEGACITIES, BLOCKING, TURKEY, MODEL, LIDAR, PM10
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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 NO2 and PM10. Moreover, low wind speeds and high pressure values during the episode prevented the dispersion of pollutants and caused air pollution in Istanbul.