臺灣博碩士論文加值系統

由台灣排放清冊資料庫TEDS 7.0和TEDS 8.1，可知南投縣PM2.5及其前驅物質SOx、NOx之排放量皆較台灣其他縣市為低，但PM2.5濃度卻時常高於其他縣市，成因值得探究。本研究乃利用高斯軌跡傳遞係數模式(GTx)模擬2007年及2010年南投縣PM2.5之污染分布，以逆軌跡及順軌跡分別解析南投縣PM2.5之污染來源與國內前十大點污染源對南投縣之影響情形。
研究結果顯示，南投縣的PM2.5污染約40%來自台灣境外，60%來自台灣各縣市，其中台灣中部以北縣市對南投縣PM2.5濃度影響較大，且以台中市之貢獻最多，其次為南投縣。各類污染源方面，點源的污染貢獻最大，原以原生性PM2.5貢獻較衍生性PM2.5高，轉變為衍生性PM2.5貢獻較原生性PM2.5高；其次為面源及線源，兩者之原生性PM2.5貢獻均高於衍生性PM2.5。2007年全台前十大排放量、排放當量點源貢獻濃度分別佔全台所有點源對南投縣PM2.5貢獻濃度之28.06%、33.81%；2010年全台前十大排放量、排放當量點源對南投縣PM2.5貢獻濃度則分別佔全台所有點源對南投縣PM2.5貢獻濃度之48.06%、44.09%。此外，管制編號L0200473的工廠對南投縣PM2.5濃度之影響均為最大，為南投縣主要污染貢獻點源。

The data of TEDS(Taiwan Emission Data System) 7.0 and TEDS 8.1 show that emissions of PM2.5 and its precursors such as SOx and NOx of Nantou County are lower than most of other counties and cities in Taiwan. However, Nantou’s PM2.5 concentration is often higher than other counties and cities. To investigate the cause, this study employed the Gaussian trajectory transfer coefficient model (GTx) to simulate the distribution of PM2.5 concentration in Nantou County for the years 2007 and 2010. Back trajectoty and forward trajectoty methods were both used to identify the PM2.5 pollution sources of Nantou County and analyze the pollution impacts of the Taiwan top ten PM2.5 point sources on Nantou.
The results show that the PM2.5 pollution in Nantou County from outside of Taiwan was about 40%, and about 60% from Taiwan itself. Central and northern administrative areas had greater influences on the concentration of PM2.5 in Nantou County. Taichung City is the largest contributor, followed by Nantou County itself. Besides, in terms of different kinds of pollution sources, the point source is the largest contributor, and mainly in the form of the primary PM2.5 in 2007, and the secondary PM2.5 in 2010. Area source and line source are the second and third largest contributors, respectively, and both mainly in the form of the primary PM2.5 in 2007 and 2010. In 2007, in the base of all point sources in Taiwan, the top ten PM2.5 emission and emission-equivalent point sources were respectively accounted for 28.06% and 33.81% of Nantou’s PM2.5 concentration. In 2010, the top ten PM2.5 emission and emission-equivalent point sources were accounted for 48.06% and 44.09% of Nantou’s PM2.5 concentration, respectively. In addition, among all individual factories, the factory L0200473 is the largest contributor of Nantou’s PM2.5 concentration in both 2007 and 2010.

目錄
摘要 i
Abstract ii
目錄 iii
圖目錄 v
表目錄 ix
第一章 前言 1
1.1研究緣起 1
1.2研究動機與目的 3
1.3研究流程與架構 9
第二章 文獻回顧 11
2.1南投地區環境背景資料 11
2.2懸浮微粒組成特性及其來源 13
2.3空氣品質模式相關研究 15
2.3.1 HYSPLIT模式 15
2.3.2 CAMx模式 18
2.3.3 CMAQ模式 20
2.3.4 GTx模式 23
2.4文獻小結 25
第三章 研究方法 26
3.1 GTx模式執行流程 26
3.2風場軌跡模式 29
3.3排放量資料 32
3.4高斯軌跡傳遞係數模式(GTx) 33
3.5研究案例說明 37
第四章 結果與討論 42
4.1 PM2.5觀測值與模擬值之比較 42
4.2南投縣PM2.5污染源貢獻變化 48
4.2.1台灣各縣市污染源對南投縣PM2.5之貢獻變化 48
4.2.2台灣境外污染源及台灣各縣市點、線、面源對南投縣PM2.5之貢獻變化 61
4.3前十大點污染源對南投縣PM2.5之污染貢獻 85
第五章 結論與建議 98
5.1 結論 98
5.2 建議 100
參考文獻 101

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