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研究生(外文):Meng-Chi Sun
論文名稱(外文):A study for using receptor model to analysis the affect of river bank in central air quality area
外文關鍵詞:Receptor modelPMFestimated sampleriver bank
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本研究所採用的受體模式為—正矩陣因子法(Positive Matrix Factorization,PMF)。此模式是多變量分析中的一種,它利用樣本濃度和其不確定性,藉著有效變異加權最小平方法去推估污染源。它不像傳統受體模式CMB需要污染源指紋資料。此方法有幾項優點:(1)免去搜集污染源指紋那樣龐大的資料而怕資料不完全無法有效分析。(2)也沒有像傳統CMB模式在解析污染源相似的情形之下會有共線性問題的存在,因此無法有效判定污染源及特徵因子。(3)亦不像其他多變量分析有負值產生,比較好去判斷分析結果。
This study institute used receptor model is PMF. This model is a kind of Multivariate analysis, it used the samples’ consistency and uncertainty to conjecture the source pollution. PMF has some advantages: (1) not require so much source profiles like CMB. (2) when under the similar pollution source, traditional CBM will exist collinear problem and make determining the pollution sources and characteristic factors ineffectively, but PMF don’t have this problems. (3) do not have the negative value as other Multivariate analysis have, is much better to determine the analytic result.

This study base on CHUNG SHAN MEDICAL UNIVERSITY ’s sampling data and central Taiwan monitor’s data to category and analyze every factors’ characteristic. Since the main object is the raise dust which had the extraordinary similar structure that river bank use riverbed’s soil element concentration as background value to proceed comparing. Focused on Central Taiwan measure station (Dajia、Houli、Wurih、Shengang、Taisi、Siansi、Lunbei) proceed sampling analyzing and used PMF to analyze the sampling’s contribution value caused by river bank. Preliminary expected the river bank collected from the river in central Taiwan(Tachia River、Ta-an River、Choshui River、Tatu River) may affect the air quality nearby. We plan that the local government should aim at this issue proposing the improving measures.
摘要 I
目錄 III
表目錄 VI
圖目錄 VII
第一章 前言 1
1.1 研究緣起 1
1.2 研究目的 1
1.3 研究架構 2
第二章 文獻回顧 3
2.1 大氣懸浮微粒組成 3
2.2 受體模式相關理論 5
2.2.1 化學質量平衡式(Chemical Mass Balance) 5
2.2.2 正矩陣因子法(Positive Matrix Factorization) 6
2.2.3 受體模式之相關研究及應用 11
第三章 研究方法 15
3.1 工具軟體之應用 15
3.2 污染源指紋資料之建置 15
3.3 PMF模式之應用 17
3.3.1 建置有效的濃度資料 18
3.3.2 模式結果的說明 25
3.4 模擬樣本的使用 27
3.5 模式分析之前置工作 32
3.5.1 污染源指紋資料之收集 32
3.5.2 判定污染源之指標元素 41
第四章 結果與討論 43
4.1 自製模擬樣本之探討 43
4.1.1 四河床污染源(方法一) 46
4.1.2 四河床污染源(方法二) 51
4.1.3 四河床污染源(方法三) 54
4.1.4 四河床污染源(方法四) 57
4.1.5 四非相似污染源(方法一) 60
4.1.6 四非相似污染源(方法二) 63
4.1.7 四非相似污染源(方法三) 66
4.1.8 四非相似污染源(方法四) 69
4.1.9 小結 72
4.2 使用修改後之PMF模式來解析 72
4.2.1 四河床污染源(方法一) 72
4.2.2 四河床污染源(方法三) 76
4.2.3 小結 79
4.3 實際樣本一 79
4.4 實際樣本二 85
4.4.1 大甲測站 85
4.4.2 后里測站 88
4.4.3 崙背測站 91
4.4.4 線西測站 94
4.4.5 台西測站 96
第五章 結論與建議 98
5.1 結論 98
5.2 建議 99
參考文獻 100
附錄 106
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