Akademik Veri Yönetim Sistemi
Tezin Türü: Doktora
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Çevre Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2017
Öğrenci: EBRU KOÇAK
Eş Danışman: İPEK İMAMOĞLU, SÜLEYMAN GÜRDAL TUNCEL
Özet:There are two main objectives of this work. First one is to reveal general characteristics of organic particulate composition in Ankara atmosphere, including their temporal and spatial variability, dependence of composition to meteorology and sources. The second one is to generate new source markers to improve the resolution receptor oriented source apportionment studies. In this study, 45 particulate organic matters were measured at two different stations in Ankara. First one was located at parking site of Department of Environmental Engineering, METU. This site was classified as sub-urban station. The second one was located at Faculty of Agriculture, Ankara University. This site was classified as urban station. Sampling campaign was started at July 2014 and finished at September 2015. 336 daily PM2.5 samples were collected from urban station and 275 daily PM2.5 samples were collected from sub-urban station by using high volume samplers with an average flow rate of 1.08 m3 min-1. Analyzed compounds were categorized into five main groups: PAHs, n-alkanes, n-alkanoic acids, levoglucosan and EC-OC. Their temporal and seasonal variations were examined. In this study, EPA PMF 5.0 was applied to determine sources of particulate organic matter and contribution of sources to each compound. The optimized model results revealed presence of eight sources for urban and sub-urban stations. Two combustion factor, a natural gas combustion factor, a road dust factor, two food cooking factors, a biomass burning factor and a plant emissions factor were identified for urban station. Two combustion factors, a biomass burning factor, a vehicular emission factor, a natural gas combustion factor, a plant emission factor, a food cooking factor and a secondary organic aerosol factor were identified for sub-urban station.