為瞭解高屏地區事件日形成之原因，本研究以一氧化碳(CO)作為擴散因子(φ)，將增量來源分為擴散不良增量與額外增量討論。研究重點分為三個部分，首先為各站懸浮微粒逐月變化與逐時分佈關係，以瞭解各站趨勢變化關係，再彙整各站事件日物種濃度資料，統計並尋找各事件日發生原因，最後使用粒徑分佈儀器與質量濃度比對驗證。
根據南部懸浮微粒超級測站資料討論高屏地區懸浮微粒趨勢，測站位於大寮、橋頭、前鎮與潮州。由2006年1月~2008年3月之數據顯示，冬季高屏地區PM10月平均濃度最高可至70~80 μg/m3；PM2.5可至45~50 μg/m3，PM2.5中以硫酸鹽貢獻量最高，單月平均最高可至15 μg/m3。4站之月趨勢與逐時趨勢大致一致，只有潮州站冬季常有硝酸鹽濃度高於硫酸鹽之現象，且24小時逐時變化與其他三站差異較大。
高屏地區163筆事件日扣除17筆無法分析之數據，另外146筆事件日中，完全擴散增量型22筆；擴散增量型34筆；平均型29筆；額外增量型51筆；完全額外增量型有10筆，額外增量型為主之事件日應可透過污染物減量與防制避免發生。61筆以額外增量為主之事件日中依粗、細微粒額外增量事件日分別為30與31筆，其中大寮站以細微粒為主，其他三站皆以粗微粒較多，沙塵暴、非沙塵暴、衍生性與原生性細微粒分別為18、12、11與6筆。
高屏地區之事件日來源主要有三種特徵，非假日發生頻率高於假日；冬季以12月發生最多事件日，12月發生較多事件日之原因為受到冬季擴散條件不良之因素；另外1~3月粗微粒額外增量事件日增加，原因為沙塵暴造成。而針對不同型態之事件日分析，擴散不良為主、沙塵暴與細微粒額外增量型之類型為較大範圍之影響，大範圍影響之事件日當日常有2~4站同時超過事件日標準；而非沙塵暴粗微粒額外增量事件日為小區域影響之型態。同日異站之事件日建議可使用一般測站之風場資料做2維與3維逆軌跡加以分析其來源並驗證。
本研究使用粒徑分佈資料與質量濃度儀器之比對結果，日代表時段與質量濃度儀器比對中，13筆事件日僅有2筆不相同。而增量濃度比對結果以PM2.5結果較好，PM2.5~10由粒徑分佈資料體積濃度有明顯偏低之狀況，而根據測站平行比對資料顯示OPC於大粒徑顆粒濃度有低估現象，推測可能為測站採樣口與儀器間之管線彎曲且過長，較大之懸浮微粒附著於管壁上造成量測濃度之偏差。

In order to understand the main reasons for PM10 episodes in Kaoping area, the CO is used as a tracer to differentiate the contributions of dispersion and excess sources. There are three parts in this study, by the variation of mass concentration for each month and hour, we can understand the relation and trend in four supersites. Then use CO to find the main source when PM10 episodes were occurred. Finally, by the comparisons of mass concentration data and number concentration data to make sure the study is accurate.
There were four supersites station in Kaoping area including Dailiao、Chiaotou、Chianjen and Chaochou. According to the data measured by supersites during January 2006 to March 2008, the average concentration of PM10 maximum is 70~80 μg/m3 and concentration of PM2.5 is about 45~50 μg/m3. Those stations had the same trend in month variation and diurnal variation except Chaochou station. The Chaochou station often recorded higher concentration of Nitrate than other stations in winter. The diurnal variation of PM10 and PM2.5 trend also differ from other stations.
As the results, there were 163 PM10 events during January 2006 to March 2008. Among these events, there were 58 cases due to the effects by dispersion mainly and those for excess sources mainly were 61. The dispersion has the most contributions in December and the contributions by sandstorms increase from January to March. The dominant species is sulfate for those cases contributed by excess secondary pollutants. The effects of dispersion and sandstorm are generally shown at several monitoring sites simultaneously; the effects by excess primary emission are generally limited local area.
The results of the comparisons of mass concentration data and number concentration data showed that 13 PM10 events has only 2 days inconsistent.PM2.5~10 concentration was generally underestimated, it is believed that the tube of sampler is long and crooked, and it caused the coarse particle to impact on the wall of tube easily.

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