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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳章甫(Chang-Fu Wu) | |
| dc.contributor.author | Yi-Tzu Li | en |
| dc.contributor.author | 李翊慈 | zh_TW |
| dc.date.accessioned | 2021-06-16T03:39:50Z | - |
| dc.date.available | 2015-03-12 | |
| dc.date.copyright | 2015-03-12 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-02-16 | |
| dc.identifier.citation | Anttila, P., Paatero, P., Tapper, U., Jarvinen, O., 1995. Source identification of bulk wet deposition in Finland by positive matrix factorization. Atmospheric Environment 29, 1705-1718.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/54849 | - |
| dc.description.abstract | 揮發性有機化合物(VOCs)在大氣中扮演重要角色。本研究使用環保署於雲林地區六座學校設置的移動監測車量測資料。量測時間為2011年4月至2012年9月共18個月的VOCs濃度變化。資料利用受體模式辨認並推估雲林地區56 種VOCs在空氣汙染物中分布情形，並進一步分析汙染源分布差異及影響因子。此外使用氣象資料，也能夠了解各地汙染源來源分布狀況。
PMF(positive matrix factorization)矩陣因子模式進行運算結果，分析出7個汙染源: Factor1石化工業、Factor2汽油揮發、Factor3液化石油氣逸散、Factor4遠程傳輸與生質燃燒混合、Factor5柴油燃燒、Factor6交通排放、Factor7有機溶劑使用。透過監測車實際到不同點量測，發現每個地點主要貢獻汙染來源不盡相同，Site1、Site3、Site6以有機溶劑使用汙染源為主; Site2以汽油揮發為主要貢獻汙染源; Site4、Site5則是以混合型的汙染源為主。另外，研究也探討風向區間、週末與週間、大氣溫度三個不同因子進行統計檢定，最後發現在所有汙染源當中，Factor3液化石油氣逸散、Factor7有機溶劑使用皆明顯受到三項變因影響。 本次研究有幾個研究限制:1.量測點偏少且分布不均。2.缺乏季節影響之探討。3.研究資料沒有同時進行量測。4.對於當地環境活動瞭解不多5.汙染源解析時會有成分相近汙染源混合的情形。6.辨識出的汙染源有可能也受到石化工業的影響卻沒有辦法排除。7.需要利用中央測站進行時間校正。未來若需要進行類似的研究建議可修正幾項研究設計，使結果更趨於完整。 | zh_TW |
| dc.description.abstract | Volatile organic compounds (VOCs) are a main group of air pollutants. This study utilized 18months VOCs data from April, 2011 to Septemper, 2012 which was measured by a mobile platform of the Taiwan EPA. The aim of this study was to identify and apportion the source of air pollutants in Yun Lin as well as the distribution of the factor effect from different source. In addition, meteorological data was also used to assist the identification and apportionment of the pollution for each site.
According to the modeling results of positive matrix factorization (PMF), this study identified 7 sources which were: Factor1 petrochemical manufacturing processes, Factor2 gasoline evaporation, Factor3 natural gas leakage,Factor4 mixture of long transportation and biomass burning,Factor5 diesel combustion,Factor6 vehicle exhaust emissions, and Factor7 solvent usage. Measurements at different sites through the monitoring vehicle found that the main contributions from the pollution sources varied from each location. At Site1、Site3、Site6, sources were mainly related to solvent usage; At Site2, the source came from gasoline evaporation; At Site4、Site5, sources came from mixture of long transport and biomass burning. Furthermore, this research discussed about wind sectors、week variation and temperature these three different impact factors. The result showed that Factor3 (natural gas leakage) and Factor7 (solvent usage) were apparently affected by these three factors. The limitation of our study: 1.Measured sites were below normal and unevenly distributed. 2. Lack of discussion about seasons. 3. Studies did not measure simultaneously. 4. Know much about activity for the local environment. 5. There will be a similar situation when pollution parsing component mixed sources. 6. Identify possible sources of pollution were also affected by the petrochemical industry, but there was no way to exclude. 7. Need to use central site information to adjust the time. For similar studies in the future, suggestion may be amended several study designs so that the results tend to be more completed. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T03:39:50Z (GMT). No. of bitstreams: 1 ntu-104-R01841010-1.pdf: 2945552 bytes, checksum: 32827d7362cb584a2959196b7021aec1 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
誌謝 ii 摘要 iii Abstract iv 目 錄 v 圖目錄 vii 表目錄 viii 附錄 ix 第一章 前言 1 1.1 研究背景 1 1.2 台灣地區光化測站(PAMS)簡介 2 1.2.1 行動監測車 3 1.3 受體模式相關理論 5 1.3.1 正矩陣因子轉置法(Positive Matrix Factorization, PMF) 5 1.4 研究架構 8 第二章 研究方法 15 2.1 雲林地區環境簡介 15 2.2 研究資料蒐集 15 2.3 資料前處理 16 2.4 資料品質管控 17 2.5 決定汙染源數量 17 2.6 Explained Variation (EV值) 18 2.7 條件機率函數(Conditional Probability Function,CPF) 19 第三章 結果與討論 24 3.1 光化測站物種描述性統計結果 24 3.2 光化測站物種依官能基分類結果 24 3.3 選定factor數量(p) 25 3.4 汙染源解析 25 3.5 汙染源貢獻度分析 28 3.5.1 週末與週間貢獻量趨勢 30 3.5.2 風向區間貢獻量分析 30 3.5.3 大氣溫度與貢獻度分析 31 3.5.4 特定VOCs物種貢獻度分析 32 3.6 光化測站固定站校正時間 33 第四章 結論與建議 63 第五章 參考文獻 65 第六章 附錄 74 | |
| dc.language.iso | zh-TW | |
| dc.subject | 受體模式 | zh_TW |
| dc.subject | 移動監測車 | zh_TW |
| dc.subject | 光化學測站 | zh_TW |
| dc.subject | VOCs | zh_TW |
| dc.subject | PMF | zh_TW |
| dc.subject | PMF | en |
| dc.subject | Source apportionment | en |
| dc.subject | VOCs | en |
| dc.subject | mobile platform | en |
| dc.subject | PAMS | en |
| dc.title | 利用移動監測資料進行揮發性有機化合物濃度特性分析以及受體模式解析 | zh_TW |
| dc.title | Characterization of VOCs Concentrations Using Mobile Measurement and Source Apportionment | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳志傑,吳焜裕 | |
| dc.subject.keyword | 受體模式,PMF,VOCs,移動監測車,光化學測站, | zh_TW |
| dc.subject.keyword | Source apportionment,PMF,VOCs,mobile platform,PAMS, | en |
| dc.relation.page | 83 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-02-17 | |
| dc.contributor.author-college | 公共衛生學院 | zh_TW |
| dc.contributor.author-dept | 職業醫學與工業衛生研究所 | zh_TW |
| 顯示於系所單位： | 職業醫學與工業衛生研究所 | |
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