大氣中的揮發性有機物為生成臭氧之前驅物之一，對臭氧生成扮演了重要角色。為了分析揮發性有機物的貢獻源與貢獻比例，本研究以PMF受體模式之底層引擎—ME-2進行改寫，使之可以不需經由圖形化界面即可執行，藉由IM/IS法計算適當的污染源模擬數量，並自動判定各因子所屬之污染源。
使用改寫後的ME-2引擎，本研究以2014年1月朴子、臺西、臺南與小港光化測站的資料進行模擬，分析出四站各有4、4、4與5個主要污染源。
經過污染源定性篩選與定量計算，再將根據貢獻量日夜變化修正之後，朴子站之4個Factors分別為Gasoline exhaust (32%)、Lubricant refinery (31%)、Hydrocarbon storage (24%) 與Surface coating (14%)；臺西站之4個Factors分別為Gasoline exhaust (46%)、Lubricant storage (21%)、Metallurgy (19%) 與Surface coating (14%)；臺南站之4個Factors分別為Dry cleaning (30%)、Surface coating (24%)、Gasoline exhaust (23%) 與Household solvent use (23%)；小港站之5個Factors分別為Surface coating (37%)、Dry cleaning (22%)、Gasoline exhaust (17%)、Hydrocarbon cracking (13%)與Liquefied petroleum gas (11%)。

Volatile organic compounds (VOCs) are a main group of air pollutants. The main propose of this study is to execute Positive Matrix Factorization model automatically and apportion the sources of simulation results.
Utilizing VOCs data at January, 2014, which was measured by Puzi, Taixi, Tainan, and Xiaogang PAMS of the Taiwan EPA, these data have been analyzed using the automatic PMF model and was used to insure the simulation results.
At Puzi the following source apportionments estimates were obtained: Gasoline exhaust (32%), Lubricant refinery (31%), Hydrocarbon storage (24%) and Surface coating (14%); at Taixi, this study identified 4 sources which were Gasoline exhaust (46%), Lubricant storage (21%), Metallurgy (19%) and Surface coating (14%); at Tainan, Dry cleaning (30%), Surface coating (24%), Gasoline exhaust (23%) and Household solvent use (23%) factors were identified; Factors identified at Xiaogang were Surface coating (37%), Dry cleaning (22%), Gasoline exhaust (17%), Hydrocarbon cracking (13%) and Liquefied petroleum gas (11%).

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