Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/4996
標題: 台中都會區秋冬季節PM2.5和PM2.5~10微粒的特性之研究
Characteristics of aerosol particles (PM2.5 and PM2.5~10) during the autumn and winter seasons in Taichung Urban City
作者: 吳昱穎
Wu, Yu-Ying
關鍵字: aerosol particles;氣膠微粒;statistical analysis;meteorological factor;統計分析;氣象因子
出版社: 環境工程學系所
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摘要: 
本研究主要探討採樣期間台中市地區秋冬季節氣膠微粒PM2.5和PM2.5~10之化學組成變化和特性,採樣的儀器為雙粒徑分道採樣器,在2010年9月底至2011年2月底,於土木環工大樓頂樓進行大氣懸浮微粒的密集觀測,有效樣本數總共為33筆,量測氣膠微粒質量濃度後,再利用離子層析儀(IC)分析微粒的水溶性離子成分。此研究並收集中興測站附近之監測站的PM濃度數據,分析不同測站PM濃度的相關性,以及同時亦分析氣象因子對PM濃度變化之影響和分析物種間之相關程度。

採樣期間中興測站、大里測站和忠明測站三組測站的PM10濃度或PM2.5濃度之相關程度大部份於冬季時較秋季時高,主要原因是冬季低風速,使得氣膠微粒不易擴散,提高三組測站PM10濃度或PM2.5濃度的相關性。統計分析中之變異數分析顯示三組測站的PM10或PM2.5濃度並無顯著性的差異。另外採樣期間大里測站和中興測站的PM2.5~10濃度也並無顯著性的差異。

單因子變異數分析顯示於採樣期間一個因子若為「粒徑」,則於秋季時不同粒徑之微粒濃度有顯著性的差異,但是冬季粒徑不同PM濃度卻無明顯的差異。若因子為「季節」,則變異數分析也顯示採樣期間秋季和冬季粗微粒PM2.5~10濃度有顯著性的差異;然而PM2.5濃度或總PM10濃度並沒有顯著性的差異。顯示台中都會區的懸浮微粒以細粒(PM2.5)居多,因此PM2.5與PM10的相關性較PM2.5~10與PM10的相關性高。

此外迴歸分析結果顯示採樣期間氣象因子風速對PM濃度的影響較溫度和相對濕度對PM濃度的影響較顯著,台中市地區秋季到冬季時粗微粒PM2.5~10所增加的量較細微粒PM2.5所增加的量高,台中市部份地區(南區和大里區)之PM2.5、PM2.5~10和PM10之間的相關性從秋季到冬季大部分有提高的現象。

The study is to investigate the changes of chemical composition and the characteristics of aerosol particles (PM2.5 and PM2.5~10) sampled in the autumn and winter seasons in Taichung City Area during the sampling period. A dichotomous sampler was used to sample the atmospheric aerosols at the top floor of Civil and Environmental Engineering Building from the end of September 2010 to the end of Februrary 2011. Thirty-three samples were collected totally, and the mass concentrations of aerosol particles were measured and then the composition of water-soluble ions were analyzed by ion chromatography(IC). Furthermore, the data of PM concentrations at different stations nearby Chung Hsing Station were collected in order to analyze the correlations among PM concentrations at different stations. The meteorological data to were also collected to analyze the effect of meteorological factors on PM concentrations. In this study, the correlations among different species were also analyzed.
The degrees of correlations of PM10 concentrations or PM2.5 concentrations among Chung Hsing Station, Dali Station and Zhongming Station were higher in the winter than in the autumn during the sampling period, and the main reason was that low wind speed in the winter which made aerosol particles not easily to diffuse, and it heightened the correlations of PM10 concentrations or PM2.5 concentrations among the three groups of stations. ANOVA analysis showed that PM10 or PM2.5 concentrations among three groups of stations were not different significantly. Also PM2.5~10 concentrations between Dali Station and Chung Hsing Station were not different significantly.
One-way ANOVA showed that if a factor was “size”, PM concentrations in different sizes were different significantly during the autumn, but PM concentrations in different sizes weren't different signifcantly during the winter. If the factor was “season”, ANOVA also showed that the coarse particles (PM2.5~10) concentrations in the autumn and winter seasons were different significantly. However, PM2.5 concentrations or PM10 concentrations weren't different significantly. It showed that the most of suspend particles were fine particles (PM2.5) in Taichung Urban City, and thus the correlations between PM2.5 and PM10 were higher than the correlations between PM2.5~10 and PM10.
Furthermore, regression analysis showed that meteorological factor wind speed was more influential than temperature and relative humidity on PM concentrations during the sampling period. The increasing quantity of PM2.5~10 was higher than the increasing quantity of PM2.5 in Taichung City Area during the sampling period. The correlations among PM2.5,PM2.5~10 and PM10 had mostly hightened from the autumn to the winter in the part of Taichung City Area (South Area and Dali Area) during the sampling period.
URI: http://hdl.handle.net/11455/4996
其他識別: U0005-1807201115263400
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