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|dc.description.abstract||Two approaches were applied for characterization of organic compounds in the atmospheric aerosols. These were chemical and statistical grouping analysis. We applied chemical group analysis as a new approach using the GC×GC data. Based on the principle of GC×GC, analytes in two dimensional data were divided into 6 chemical group depending on their volatility and polarity. Using this classification standards, all analytes were classified as one of 6 chemical groups, HP-VOC, LP-VOC, HP-SVOC, LP-SVOC, HPNVOC and LP-NVOC. The relationship between the sum of the peak areas of each chemical group with other variables such as the concentrations of OC, EC, OCPOC, OC/EC and OCSOC were studied. However, no apparent relationship was observed. The principle component analysis (PCA) was carried out to find out the relationship among the analytes based on their sources. The OVOCs were dominant compounds in 3 out of 4 factors in summer. In winter, factor 1 was related to secondary organic aerosol and factor 3 was related to primary emission sources. The proposed approach looks promising in characterization of chemical groups but have limitations at current stage which are discussed. © 2019 by Asian Journal of Atmospheric Environment.||-|
|dc.publisher||Korean Society for Atmospheric Environment||-|
|dc.title||Classification and characterization of organic aerosols in the atmosphere over Seoul using two dimensional gas chromatography-time of flight mass spectrometry (GC×GC/TOF-MS) data||-|
|dc.relation.journaltitle||Asian Journal of Atmospheric Environment||-|
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