本研究於2014年3月至2014年10月以不鏽鋼採樣桶 (Canister) 採樣並以氣相層析質譜儀 (Gas Chromatograph / Mass Spectrometer, GC/MS)進行科學園區不同季節大氣周界揮發性有機物(VOCs)採樣分析,並應用Surfer軟體瞭解風速及風向與污染源的相關性,瞭解科學園區大氣中VOCs濃度與特徵,最後以化學質量平衡法及正矩陣因子法作定量分析,推估科學園區各採樣點對受體點污染源貢獻量及比較。研究結果顯示,冬季期間所監測之揮發性有機物濃度為43.6 ~ 157 µg/m3,春季期間監測為34.2 ~ 196 µg/m3,夏季期間監測為38.5 ~ 157 µg/m3,秋季期間監測為37.3 ~ 270 µg/m3。各季科學園區特徵污染物,芳香類為每季科學園區特徵污染物濃度最高,醛酮類次之,最低為醇類,各季科學園區BTEX污染物濃度最高為甲苯(Toluene),二甲苯(Xylenes)次之,最低為乙苯(Ethylbenzene)。各季風向因季節而有所差異,以Surfer圖瞭解科學園區工廠排放解析,丙酮以春季為最高,丁酮以冬季為最高,甲苯以冬季為最高,苯以冬季為最高,乙苯以秋季為最高,二甲苯以秋季為最高,乙酸乙酯以秋季為最高。應用化學質量平衡法模式解析科學園區季節性VOCs貢獻污染源,綜觀該地區季節性VOCs最大貢獻源為光罩有機性排氣,次之為半導體一般性排氣,而後為光罩酸鹼性排氣。在應用正矩陣因子法分析大氣各測點採樣分析結果顯示污染源共分為4個因子,因子1至因子4分別之污染源定義為交通排放、柴油車排放、油品逸散、光電業。
In this study, the atmospheric volatile organic compounds (VOCs) in different seasons were collected from March, 2014 to October, 2014 in the Science Park. VOCs samples were collected by canisters and were analyzed by GC/MS (Gas Chromatograph / Mass Spectrometer) to realize the concentration and characteristics of VOCs in the atmosphere of science parks. “Surfer”was used to realize correlation among the wind speed and wind direction vs. these air pollutants. Finally, Chemical Mass Balance (CMB) and Positive Matrix Factoriztion method (PMF) to applied to estimate the source contribution in the Science Park. The results of this study show that VOCs emission concentration are between 43.6 and 157 µg/m3 during winter, 34.2 and 196 µg/m3 during spring, 38.5 and 157 µg/m3 during summer, 37.3 and 270 µg/m3 during autumn. Aromatic is the highest pollutants on the concentration in the Science Park for each season, followed by aldehydes and ketones.Toluene is the highest specie of BTEX, followed by xylenes and ethylbenzene. Acetone is highest in spring, methyl ethyl ketone, toluene and benzene are the highest compounds in winter. Ethylbenzene, xylene and ethyl acetate are highest in autumn. The results of CMB analysis show that the pollutants are primarily from organic exhaust reticle most, semiconductor general exhaust, acid and base exhaust reticle. There are four factors in Positive Matrix Factorization method: transportation emission, diesel emissions, oil dissipation, and photovoltaic industry.
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