近年來懸浮微粒之濃度藉由空氣污染管制已有顯著成效，因此臭氧逐漸取代懸浮微粒成為空氣品質不良之主要污染物。本研究使用環保署高屏地區光化學測站之2007年與2008年連續監測資料，以平均濃度、最大反應增量(MIR)及丙烯當量濃度三種不同方法探討高屏地區VOCs濃度及光化反應特性，而且應用受體模式之化學質量平衡法(CMB)與正矩陣因子法( PMF)推估高屏地區VOCs之污染源貢獻比例，與配合MIR分析高屏區VOCs主要貢獻源之臭氧生成潛勢。
以VOCs濃度而言，高屏地區之烷類、烯類、炔類及芳香烴類分別佔49~51%、9~13.5%、2~2.5%、33.5~39.5%，以toluene為最高，iso-pentane次之。以MIR及丙烯當量濃度而言，高屏地區芳香烴類為最多、其次為烯類、烷類，儘管烯類VOCs濃度較低，由於其光化反應性高，臭氧生成貢獻濃度之貢獻比例大於烷類。由CMB模式解析結果顯示小港站受到鄰近工業區之影響，以鋼鐵業、煉油業與油氣揮發為主；潮州站附近無明顯之工業排放源，VOCs主要來自於建材表面塗裝、二行程機車與汽車排放；橋頭站則以鋼鐵業、煉油業及建材表面塗裝為主要污染源。而PMF分析結果顯示在潮州站與橋頭站，VOCs主要的污染源有9個，而在小港站的主要VOCs污染源有7個，各污染源之貢獻比例與CMB模擬結果相近。
不同污染源以MIR推估臭氧生成潛勢結果顯示小港站之臭氧生成由鋼鐵業與移動源為主要臭氧貢獻源；潮州站為移動源與建材表面塗裝；橋頭站則以鋼鐵業、建材表面塗裝業與移動源為主。

In recent years, the major air pollutant responsible for PSI over 100 was ozone in KP air basin. In this study, the VOCs characteristics for PAMS data in KP area were evaluated by means of three indices: annual average mass concentrations, maximum incremental reactivity (MIR) and propylene-equivalent concentrations (Prop-equiv). Two different receptor models, chemical mass balance (CMB) and positive matrix factorization (PMF), were used to analyze the contributions of VOCs. Finally, MIR was used to evaluate ozone formation potential by various emission sources.
For mass concentration, the fractions of alkanes, alkenes, alkynes and aromatics are 49~51%, 9~13.5%, 2~2.5%, 33.5~39.5%, respectively; for chemical compositions, toluene is the dominant species. For MIR and Prop-equiv, aromatics are the greatest, followed by alkenes. Because of higher photochemical reactivity, alkenes have greater ozone formation potential than alkanes. The results of CMB analysis show that the major VOCs sources are steel industry, refinery, and gasoline vapor at Shian-Gang’s (SG). At Chao-Chou’s (CC), there are building surface coating, two-stroke motorcycle, and vehicle exhaust and are steel industry, refinery, and building surface coating at Chiau-Tou’s (CT). The results of PMF analysis reveal that there are 9 main VOCs sources at Chao-Chou and Chiau-Tou, and are 7 main sources at Shiau-Tou; the contribution from various sources are similar to those analyzed by CMB.
The main sources contributing the ozone formation potential by using MIR are steel industry and mobile source at SG, are mobile source and building surface coating in CC, and are steel industry and building surface coating at CT.

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