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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80292完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳章甫(CHANG-FU WU) | |
| dc.contributor.author | Chien-Mei Yen | en |
| dc.contributor.author | 嚴千媄 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:03:56Z | - |
| dc.date.available | 2026-07-02 | |
| dc.date.available | 2022-11-24T03:03:56Z | - |
| dc.date.copyright | 2021-08-18 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-07-05 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80292 | - |
| dc.description.abstract | 細懸浮微粒(PM2.5)是一種普遍存在於空氣中的污染物。已有許多研究指出暴露到細懸浮微粒對健康有許多不良影響；此外，不同化學物種組成的細懸浮微粒及含量會導致不同的健康效應。在大型都會區為了滿足居住需求必須建造許多高樓建築，且在交通擁擠的市區也會建造高架橋來解決道路阻塞問題。然而，大多數探討空間變化的細懸浮微粒之研究只考慮了水平面向的變化，關於垂直高度之變化的研究目前非常有限。若能確定細懸浮微粒的主要來源和成分，並了解這些來源在不同高度的貢獻程度及時序上的變化，將有助於制定細懸浮微粒相關的防治政策。本研究選擇鄰近高架橋的建築作為採樣地點，此研究從2019年10月至2020年6月探討細懸浮微粒的垂直變化。採樣設備分別設置在三個不同樓層，低：2樓（6公尺高）、中：6樓（23公尺高）和高：11樓（44公尺高）。樣本採集在鐵氟龍濾紙上，採集後的樣本會進行細懸浮微粒之質量濃度、吸收係數、14種元素和7種水溶性離子的分析。為了量化暴露的來源及貢獻，使用正矩陣因子法解析物種濃度和來源分佈之間的質量守恆公式。結果顯示，在中樓層的PM2.5平均濃度最高(14.68 μg/m3)，其次為低樓層(14.48 μg/m3)和高樓層(13.81 μg/m3)。在分析的物種中，二次無機性氣膠(SIA)對於細懸浮微粒的濃度有極大的貢獻，尤其硫酸鹽(SO42-)佔最大的比例。透過正矩陣因子模式解析出七種污染來源，將其統整成相似污染源排序後，衍生性氣膠相關污染來源(35%)以及道路相關污染源(24%)貢獻最高，其次為長程傳輸(22%)、海鹽飛沫(10%)、重油燃燒(9%)。與道路來源(Road source)相關的來源因子4(粉塵來源)及來源因子6(交通排放)，在垂直高度變化之貢獻有所差異，而其餘污染來源並無觀察到垂直變異，顯示交通污染可能是細懸浮微粒濃度具有垂直變異的關鍵因素之一。 | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:03:56Z (GMT). No. of bitstreams: 1 U0001-2906202105453800.pdf: 4333252 bytes, checksum: ea5049e1ecb7f9e0729cddb590551aa2 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 摘要 i Abstract ii 目錄 iv 圖目錄 vi 表目錄 vii 公式目錄 viii 符號說明 ix 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機與目的 4 1.3 研究架構 5 第二章 研究方法 6 2.1 研究區域 6 2.2 採樣策略 7 2.2.1 採樣地點 7 2.2.2 採樣規劃 7 2.3 資料收集及化學分析 8 2.3.1 質量濃度 8 2.3.2 吸收係數 8 2.3.3 元素分析 9 2.3.4 離子分析 10 2.4 離子微粒之特性探討 13 2.5 逆軌跡模式 16 2.6 受體模式 17 2.6.1 正矩陣因子法 17 2.6.2 資料前處理 18 2.6.3 資料品質確定 19 2.6.4 污染源數目選擇 20 2.6.5 圖譜解釋 21 2.7 品保品管 21 2.7.1 採樣 21 2.7.2 分析 22 第三章 研究結果與討論 25 3.1 描述性統計 25 3.1.1 細懸浮微粒質量濃度 25 3.1.2 細懸浮微粒化學組成 25 3.1.3 濃度之垂直變異 26 3.1.4 濃度之時序性差異 27 3.2 細懸浮微粒之離子特性探討 29 3.3 正矩陣因子模式解析結果 30 3.3.1 輸入資料 30 3.3.2 決定污染源數目 31 3.3.3 污染源辨識 32 3.3.4 污染源貢獻與時序性差異 34 3.3.5 污染源貢獻之垂直變異 36 第四章 結論與建議 39 4.1 結論 39 4.2 研究限制與建議 40 第五章 參考文獻 62 第六章 附錄 74 | |
| dc.language.iso | zh-TW | |
| dc.subject | 正矩陣因子法 | zh_TW |
| dc.subject | 來源分析 | zh_TW |
| dc.subject | 垂直變異 | zh_TW |
| dc.subject | 成分分析 | zh_TW |
| dc.subject | 細懸浮微粒 | zh_TW |
| dc.subject | Chemical composition | en |
| dc.subject | PM2.5 | en |
| dc.subject | Positive Matrix Factorization (PMF) | en |
| dc.subject | Source apportionment | en |
| dc.subject | Vertical variation | en |
| dc.title | 以無機物種探討高架道路旁建築之細懸浮微粒來源及垂直變異 | zh_TW |
| dc.title | Vertical Variation of Source-Apportioned PM2.5 using Inorganic Species as Tracers at a Building near Viaduct | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 蔡詩偉(Hsin-Tsai Liu),陳佳堃(Chih-Yang Tseng) | |
| dc.subject.keyword | 細懸浮微粒,正矩陣因子法,來源分析,垂直變異,成分分析, | zh_TW |
| dc.subject.keyword | PM2.5,Positive Matrix Factorization (PMF),Source apportionment,Vertical variation,Chemical composition, | en |
| dc.relation.page | 77 | |
| dc.identifier.doi | 10.6342/NTU202101182 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-07-05 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 環境與職業健康科學研究所 | zh_TW |
| dc.date.embargo-lift | 2026-07-02 | - |
| 顯示於系所單位： | 環境與職業健康科學研究所 | |
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