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高屏地區VOC之來源組成及其季節性變異之研究

Compositions and Seasonal Variations of Volatile Organic Compounds in Southern Taiwan

作者:馬中泰
畢業學校:輔英科技大學
出版單位:輔英科技大學
核准日期:2012-08-06
類型:Electronic Thesis or Dissertation
權限:Copyright information available at source archive--Fooyin University....

中文摘要

本研究藉由國內環保署光化測站所測得之VOCS數據,配合美國環保署認之受體模式Chemical Mass Balance (CMB) 8.2 Model進行污染來源之分析模擬。經分析高屏地區小港、潮州與橋頭等三光化測站96年秋季至98年夏季之VOCS監測數據,獲得以下之結論:(1)高屏地區受VOCS污染較嚴重之地區為小港,其次為北面之橋頭,位於小港東方靠屏東之潮州為最輕;(2)高屏地區VOCS來自固定排放源貢獻分佈為鋼鐵業(約23.76 %)、天然氣(18.89 %)、煉油業(3.67 %)、石化業(3.07 %)、表面塗裝業(2.28 %)、油氣逸散與揮發(2.18 %)、液化石油氣(0.70 %),固定排放源貢獻佔整體約54.54 %;移動排放源貢獻中汽車排氣(20.00 %)、柴油車排氣(15.45 %)、機車排氣(1.31 %)、飛機排放(7.54%),移動排放源佔整體貢獻為44.3 %;高屏地區天然排放源佔整體VOCS貢獻為1.17 %;(3)大氣溫度與各種固定排放源中之相關性為:表面塗裝業相關係數R² = 0.6409、油氣逸散與揮發 R² = 0.5647、液化石油氣R² = 0.8604 、天然氣R² = 0.7825、飛機排氣R² = 0.9411及生物源 R² = 0.9302,以上貢獻源皆與大氣溫度具有較高之線性關係;(4) 三光化測站測站之移動排放貢獻約略相同,但是主要貢獻車種有明顯之差異,應該是各測站附近道路之車流結構明顯不同所致。

英文摘要

In this study, VOCs data from Taiwan s PAMS stations are used. As well, Chemical Mass Balance (CMB) 8.2 from U.S. EPA are used to analyzed the contribution of different VOCs sources. The PAMS stations include Shaokong, Chaozhou, and Renwu. Data periods are from the autumn 2007 to summer 2009. The following conclusions are made from the data analysis in this study: (1) VOCs pollution is more serious in Shaokong area, followed by Renwu and Chaozhou. (2) The averaged VOCs contribution sources from varies stationary sources are, iron and steel industry (23.76%), natural gas (18.89%), oil refining industry (3.67%), petrochemical industry (3.07%), surface coating industry (2.28%), gas oven and volatile (2.18%), and liquefied petroleum gas (0.70%). The overall contributions from stationary sources are 54.54%. The various mobile sources contributions are car exhaust (20.00%), diesel exhaust (15.45%), motorcycle exhaust (1.31%), and aircraft emissions (7.54%). The averaged mobile sources contribution is44.3%. The natural sources contribution is 1.17%. (3)The linear correlation coefficient of the atmospheric temperature and various contribution sources are surface coating industry (R ² = 0.6409), gas oven and volatile (R ² = 0.5647), liquefied petroleum gas (the R ² = 0.8604), natural gas (R ² = 0.7825), aircraft exhaust (R ² = 0.9411) and biological source (R ² = 0.9302). (4) The three PAMS stations have similar mobile sources contributionsbut with different car categories contribution, implicating that the traffic flows in the nearby of the stations are associated with different car types.


召集委員 - 吳義林

委員 - 賴進興

指導教授 - 林清和


 

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