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Student Number 976201012
Author Jia-wan Kao(高嘉婉)
Author's Email Address No Public.
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Department Graduate Institute of Atmospheric Physics
Year 2009
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title The significance and regularity of PAMS observations of Taiwan
Date of Defense 2010-06-25
Page Count 99
Keyword
  • detection limt
  • HHT
  • PAMS
  • significant test
  • Abstract The purpose of this study is to find out the confidence level and regularity of VOCs hourly data detected by Photochemical Assessment Monitoring Station (PAMS).The examination consists of two parts. First, We use the detection limit of PAMS species and Hilbert-Huang Transform(HHT) to calculate the degree to reach detection limit of each PAMS species and define it as pass ratio to check the confidence level of observed data. The result of study shows that the value of each PAMS species’s pass ratio varies obviously at different location. For example, the pass ratio of most PAMS species are over 70 % at Chunlung and Tsaotun stations, it shows that the PAMS species data observed from those two stations are highly reliable. On the other hand, the Pass ratio of most PAMS species are less than 20 % at Jhushan station, it shows that reliability and confidence level of observed data from this station are lower than Chunlung and Tsaotun stations. Second, after HHT analyzing of PAMS data, check the significance of each Intrinsic Mode Function (IMF) of observed data. We then classify the result of detection limit and significance comparison as three kinds of species to find out the value of PAMS species data of Taiwan PAMS stations in further research. First kind is low concentration and irregular species, second kind is high confidence level and regular species. third kind is other species which act between first kind and second kind.
    Overall speaking, most PAMS observations of Chunlung and Tsaotun stations have reach detection limit and better significant test result, hence they have higher confidence level and regularity. Although the PAMS species of Jhushan station has less confidence level than Chunlung and Tsaotun stations because of its location at lee, it still can assist Chunlung and Tsaotun stations to discuss PAMS species characteristic of whole central area of Taiwan. Wanhua、Tucheng and Ciaotou stations all locate at urban area and industrial park, so they have higher confidence level of PAMS observation and more PAMS species with regularity. Although Taisi station locate at suburb of southern central area which has lower concentration, but it has fewer PAMS species with low confidence level and regularity. This is because lower threshold value of pass ratio compared to other stations make it has more PAMS species with higher confidence level and regularity. It is supposed Taisi station has more steady pollution PAMS species source, and the main pollution source is No. 6 Naphtha industrial park nearby, therefore even it has low pass ratio we can still find regularity from it. It has a big difference in concluded result between all stations PAMS species, and the analysis process can identify PAMS species with higher confidence level and regularity in every station. It also can filter low concentration and confidence level PAMS species comparatively in every station.
    Table of Content 摘要...................................................I
    Abstract.............................................III
    致謝...................................................V
    目錄.................................................VII
    附表說明..............................................IX
    附圖說明..............................................XI
    第一章 前言............................................1
    1.1 研究動機...........................................1
    1.2 研究目的...........................................2
    第二章 文獻回顧........................................3
    2.1 PAMS測站與物種.....................................3
    2.1.1 PAMS光化測站簡介.................................3
    2.1.2 PAMS物種簡介.....................................5
    2.2 Hilbert-Huang Transform(HHT).....................6
    2.2.1經驗模態分解法(Empirical Mode Decomposition)....7
    2.2.2系集經驗模態分解法(Ensemble EMD;EEMD)..........9
    2.2.3 Hilbert Spectrum................................11
    2.2.4顯著性測試(Significance test)..................12
    第三章 研究方法.......................................14
    3.1研究方法流程.......................................14
    3.2資料來源與前處理...................................14
    3.2.1資料來源.........................................14
    3.2.2 PAMS資料篩選....................................15
    3.2.3 PAMS物種偵測極限................................16
    3.3 HHT分析...........................................16
    3.3.1 EEMD參數設定....................................17
    3.3.2 顯著性測試......................................19
    3.3.3 Hilbert Spectrum分析............................20
    第四章 結果分析與討論.................................22
    4.1 PAMS觀測資料與物種偵測極限之比較..................22
    4.2 EEMD結果討論......................................25
    4.3 顯著性測試結果分析................................26
    4.4 PAMS物種偵測極限與顯著性測試結果綜合分析..........28
    4.5 規律性統整與歸納..................................29
    4.6 Hilbert Spectrum 結果討論.........................33
    第五章 結論與未來展望.................................34
    5.1 結論..............................................34
    5.2 未來展望..........................................36
    參考文獻..............................................37
    附表..................................................39
    附圖..................................................51
    Reference 行政院環境保護署網頁,http://taqm.epa.gov.tw/taqm/zh-tw/default.aspx
    美國PAMS網站,http://www.epa.gov/air/oaqps/pams
    台灣環保署民國 91 年度光學評估監測站操作維護及運轉計畫報告書
    台灣地區光化學污染之形成、傳輸機制及其影響期末報告書
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    Advisor
  • Julius S. Chang(張時禹)
  • Files
  • 976201012.pdf
  • approve immediately
    Date of Submission 2010-07-28

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