請用此 Handle URI 來引用此文件: http://hdl.handle.net/11455/5576
標題: 戴奧辛模擬系統改善之研究-排放量推估及氣固相機制
Development of dioxin system - emission inventory and gas/particle partition
作者: 林徽雅
Lin, Huei-Ya
關鍵字: GTx, Dioxin, Gas/particle partition, an extension of an emission inventory
戴奧辛
高斯軌跡傳遞係數模式
氣固相分佈
排放量清單
出版社: 環境工程學系所
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摘要: 本研究主要目的為改善高斯軌跡煙流模式(Gaussian Trajectory transfer-coefficient model, GTx) 系統,進而模擬大氣中戴奧辛污染物濃度。以戴奧辛排放量(清單)推估及加入戴奧辛之氣固相轉換機制作為本研究探討的目標。 在過去的模擬結果中發現,戴奧辛濃度呈現低估的現象,推測的原因可能為:(1)考量的戴奧辛污染源不夠詳盡及(2)將戴奧辛污染物視為PM2.5物種並模擬其濃度。為了真實反映大氣中的戴奧辛污染物機制,本研究將對於過去的戴奧辛模擬系統進行修正,以達到模式的效用。 戴奧辛排放量之推估分成兩階段,其污染源包含固定源、交通源、溢散源及裸露地表揚塵。初步階段,排放量清單模擬結果顯示,其毒性當量的觀測值及模擬值相關係數(r)為0.2,其偏差值為±0.2%以內,但5月及6月會有高估的情形,推測裸露揚塵的污染源會受到降雨的影響,因此以雨量的多寡作為揚塵是否為污染源之判定指標。經採樣數據比對及統計發現,以雨量7×10-5 mm/s (約0.25 mm/hr)為界線判別裸露地表揚塵是否為受體點的污染源,而模擬數據及觀測數據的相關係數提高至0.4,其偏差值為±0.2%以內。而過去模式模擬戴奧辛污染物皆假設戴奧辛附著在PM2.5上,造成污染物易受到沉降機制,使得模擬結果低估,故本研究加入氣固相機制於模式中,氣相污染物不易沉降,模擬結果較接近真實的戴奧辛在大氣中狀況。初步整體模擬結果顯示,毒性當量濃度的模擬與觀測結果相近,固相指紋及總指紋有0.8以上的相關係數,但在氣相指紋模擬不佳。 第二階段的排放量推估是修正初步階段的排放量,利用原來的排放量做權重的分配,以OCDD物種為指標分門別類: (1)受檢驗的污染源並以OCDD為指標的類別、(2)檢驗的污染源且不以OCDD為指標的類別、(3)未檢驗的污染源並以OCDD為指標的類別、(4)未檢驗的污染源且不以OCDD為指標的類別及(5)揚塵污染源、(6)交通源及溢散源。第二階段的排放量主要以固定源為大宗,檢驗的污染源且不以OCDD為指標的工廠排放量是原來清單的15倍。模擬結果顯示固相分配比例上的相關係數佳,而固相指紋及總濃度指紋的相關係數也達0.8以上,甚至氣相指紋的相關係數提高至0.7以上,明顯顯示修正後的清單對氣相指紋模擬有較佳的呈現。 本模擬結果顯示修正後的排放量清單有良好的效用,故推估修正後的清單較接近真實狀況,其中已受檢的工廠且不以OCDD為指標類別推估排放量為原來的15倍,與工廠抽檢是定檢排放量的10幾倍之狀況相符,推斷不以OCDD為指標的工廠抽檢時之排放量較接近平日情形。
The source apportionment of dioxin compounds (a group of polyhalogenated compounds) is of interest because of its carcinogenicity to human and animals. Model approach can provide a quantitatively linkage between source and receptor of dioxin compounds. Nonetheless, the magnitudes of the simulated concentrations of dioxin compounds by a model are still underestimated, which was likely due to the lack of a comprehensive emission inventory. Besides, the assumptions made for simulating dioxin might not be appropriated. Therefore, this study is attempted to improve the modeling system of the Gaussian Trajectroy transfer-coefficient model (GTx) for dioxin simulation. The major improvements include an extension of an emission inventory and the introduction of a mechanism for gas/particle partition. Two stages for the emission inventory modification were performed. In the first stage, four pollution sources, including stationary sources, traffic sources, combustion of agriculture waste, and dust from exposed surface, were modeling for the comparison of the predicted concentrations of dioxin with the observations at 19 stations. Using the GTx model cooperated with gas/particle partition mechanism, the results showed that the correlation coefficient of TEQ between observation and simulation is 0.2 0.2% with slightly overestimation. According to the statistical analysis, it was deduced that the amount of dust from exposed surface was affected by the precipitation and, consequently, the amount of precipitation was considered as an index for the exist dust from exposed surface. By adopting the critical value of rainfall of about 710-5 mm/s (0.25 mm/hr), the correlation coefficient increased up to TEQ to 0.4 0.2%. Moreover, after incorporating the mechanism for gas/particle partition, the prediction of TEQ was close to the observation and the correlation coefficients of a value of 0.8 was obtained in the particle and total fingerprint matching. In the second stage, six weighted categories using OCDD as index were simulated. The results showed that the correlation coefficients of dioxin congener profiles in particle partition or gas plus particle partition were close to that mentioned in the first stage. But a great increase of correlation coefficient of dioxin congener profiles in individual gas partition reached about 0.7. The results of this study indicated that the predication efficiency of GTx model to simulate the dioxin concentration was improved with the modification of emission inventory and the addition of mechanism of gas/particle partition.
URI: http://hdl.handle.net/11455/5576
其他識別: U0005-0207200920334800
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-0207200920334800
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