細懸浮微粒可分為原生性細懸浮微粒與衍生性細懸浮微粒，二次衍生性氣膠主要是由氣相污染物轉化而成，在不同的月份與氣膠系統組成形態下應對形成速率有所影響，因此於不同季節執行採樣並推算出該時段之形成速率，並搭配ADS採樣系統所分析之數據利用ISORROPIA模擬該時段氣膠系統中可能存在之各項物種，探討其中之關聯性。
本研究在2016年10~11月、2017年2月與2017年4~5月三個時段於台西、朴子、嘉義、善化、台南、橋頭、小港、屏東、潮州九個地點架設手動測站，同時進行PM2.5周界大氣採樣，將採集到樣品做水溶性離子分析與碳成分分析，並在其中朴子、善化與潮州三站架設ADS同心圓管採集系統，採集PM2.5粒狀物與氣態污染物，前者配合逆軌跡模式用以推估衍生性氣膠之形成速率，後者分析之數據將用於ISORROPIA熱力學模式分析氣膠系統組成。
10月採樣計算出之形成速率中，硫形成速率平均值為4.34%/hr。氮形成速率平均值為1.61%/hr。碳轉化速率為平均值為0.91%/hr；2月採樣計算出之轉化速率中，硫轉化速率平均值為3.50%/hr。氮轉化速率平均值為1.31%/hr。碳轉化速率平均為0.40%/hr。4月採樣計算出之轉化速率中，硫轉化速率平均值為5.72%/hr。氮轉化速平均值為1.09%/hr。碳轉化速率平均為0.75%/hr。結果顯示平均之硫形成速率高於氮形成速率及碳形成速率，其推估原因為篩選時段大部分為夜晚時段，硫形成機制主要為夜晚之液相反應，而氮、碳形成機制主要為日間之光化學氣相反應。
比較日夜與季節變化，季節變化中衍生性氣膠轉化速率會因不同之氣象因子如相對濕度、溫度與背景污染物如臭氧濃度而有所不同。而在日夜變化中因日夜衍生性氣膠形成機制不同而有不同表現。
以ISORROPIA II模擬氣膠成分組成中，大多數物種與實測值相關性良好且無顯著差異(無母數檢定)，本研究中對ISORROPIA II模擬結果中含水率與pH值對轉化速率做討論，結果發現含水率與氮轉化率有正相關，應與氮的異相反應有關，而硫轉化率與pH值呈負相關，顯示在一定pH值內氣膠pH越低硫轉化速率越大。

There are two types of atmospheric aerosols: one is the primary aerosol, which is emitted directly, and the other one is secondary aerosol, which is formed by complex chemical reaction in the atmospheric. Different variables will change the formation rate. In this study, we sampling 9 site in Chiayi- Pingtung at three different months (October, February and April.). Analyzing the samples’ chemical composition such as water-soluble ions and carbon composition. And then we used HYSPLIT back trajectory model to find the path of air mass, calculating the formation rate with the spatial interpolation method. In October, the average formation rate of sulfur is 4.34%/hr, and formation rate of nitrogen is 1.61%/hr, and formation rate of carbon is 0.91%/hr. In February, the average formation rate of sulfur is 3.50%/hr, and formation rate of nitrogen is 1.31%/hr, and formation rate of carbon is 0.40%/hr. In April, the average formation rate of sulfur is 5.72%/hr, and formation rate of nitrogen is 1.09%/hr, and formation rate of carbon is 0.75%/hr. This study used the thermodynamic model, ISORROPIA II, to simulate the aerosol system composition. The simulate result shows good relevance with measured value. This study discusses the relationship between formation rate and environmental factors (pH value and aerosol water content). We find that the aerosol water content and formation rate of nitrogen are positive correlation. The pH value and formation rate of sulfur are negative correlation.

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