本研究針對2008年11月至2009年2月於台南市成功大學卓群大樓頂樓進行密集的採樣，於每天早上8點與晚上8點進行更換樣品，且同時進行PM10與PM2.5的採集，目的在觀測農廢燃燒期間大氣氣膠濃度與組成之影響與改變，所採集到的樣品先經過後處理及成分分析後由受體模式CMB與PMF互相驗證其各項污染源之貢獻度。
本研究另外進行了一次稻草燃燒試驗，目的在由實地的稻草燃燒試驗中求得其污染源之指紋（source profile），並且觀察其在不同的條件下，包含採樣時間多少，試驗所燃燒的稻草重量及堆放稻草的方式，其結果顯示在燃燒稻草時的堆放方式有較大的差異性，在堆放方式為堆放及攤放的條件下所採集到細微粒及粗微粒之指紋主要追蹤元素分別以OC、Cl-、K+、EC為主，其中重要的追蹤元素-去水醣類Levoglucosan也佔了很大的比例；而在稻草堆放方式為攤放下因其使稻草較完全的燃燒，因此所得到的EC在指紋中所佔的比例大幅上升，約比堆放時大了6倍。
本研究利用兩種受體模式分別為CMB與PMF進行比對，其中PMF模式則設定三種不同的污染源下進行解析，分別為PMF10、PMF11及PMF12，在CMB模式上成功解析出11個污染源，而PMF10、PMF11、PMF12分別解析出8、8及7個污染源可辨識的污染源；而CMB與PMF在解析貢獻度上最大的差異在地表揚塵及燃油鍋爐，CMB解析出之地表揚塵平均有40％的貢獻度，而PMF平均只有20%左右的貢獻度；燃油鍋爐方面CMB解析出之貢獻度不足1%，而PMF平均解析出10%之貢獻度；其他CMB與PMF在交通源、海洋飛沫、硫酸銨、硝酸銨、農廢燃燒之貢獻度推估上較為接近，但在PMF模式推估方面平均有10%之貢獻度無法辨認其來源。針對CMB與PMF逐筆貢獻度比對結果，皆不能得到一良好的關係性（R2），其主要原因應為所收集到的污染源組成不完整，再來即是在本研究中可辨識污染源的特殊指標性元素不足或濃度過低，造成判定上之困難。

Intensive samplings were performed on the top floor of Juo Chiun Building, National Cheng Kung University, Tainan from December 2008 to February 2009. PM10 and PM2.5, with duration time of 12 hours, were both measured at 8 a.m. and 8 p.m. LST. The objectives of this study are to observe the variations of PM concentrations and compositions during open-burning of rice straw and to compare the contributions analyzed by CMB and PMF.
An additional field experience of straw burning was conducted for the analysis of its source profile. Under various conditions such as different sampling periods, different loads, and different styles of collecting straws for burning, the results shows that significant difference only exists in the different ways of collection: piling and spreading. In the situation of piling and spreading, the major tracing species of PM2.5 and PM10 were OC, Cl-, K+, and EC and Levoglucosan, the other important tracing specie, contributes largely to PM2.5 and PM10. Straws spread out were burned more completely and the EC increases approximately by six times.
CMB and PMF were used in the study and compared. PMF was performed in different amounts of sources, that is, PMF10, PMF11, and PMF12. CMB found successfully 11 different sources, but PMF10, PMF11, and PMF12 found 8, 8, and 7 sources respectively. The significant difference of source by CMB and PMF is crustal and oil-fired boiler: CMB reveals crustal contribute 40% to particulate matter and only 20% for PMF.CMB indicates the contribution of oil-fired boiler is less than 1%, but 10% for PMF. Other contribution estimated such traffic, 50% sea spray, agriculture waste burning, ammonium sulfate, and ammonium nitrate are similar. However, 10% contribution is not identified in PMF. Comparing the result by PMF and CMB, they were not correlated well due to the incomplete source profiles and the deficiency and low concentration of tracing species.

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