博碩士論文 105623006 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:11 、訪客IP:3.80.6.254
姓名 蔡昱德(Yu-Te Tsai)  查詢紙本館藏   畢業系所 太空科學研究所
論文名稱 對數常態分布應用於台灣地區氣膠單峰消光廓線擬合之分析與改進
(The improvement of mapping single-peak aerosol extinction with log-normal distribution in Taiwan)
相關論文
★ 應用經驗模態分解法在福衛五號遙測照像儀之相對輻射校正★ 福爾摩沙衛星五號遙測儀之在軌絕對輻射校正
★ 應用衛星資料及地理資訊系統在印尼BALURAN國家公園野生牛棲息地之測繪★ 利用MISR衛星資料反演陸地區域氣膠光學厚度和地表反射率
★ MTSAT-1R衛星資料在東亞沙塵暴監測及氣膠光學厚度反演之探討★ 結合衛星與地面觀測氣膠輻射參數在東南亞地區氣膠種類辨識之應用
★ 衛星資料在臺灣地區西南氣流降雨估算之應用★ MODIS衛星資料在亞洲地區氣膠種類辨識之應用
★ 結合MODIS與MISR觀測資料在氣膠單次散射反照率反演之應用★ 應用衛星資料探討大台北地區都市熱島效應之時空分布
★ AERONET觀測資料在氣膠種類輻射參數之探討★ 結合衛星資料與建物資訊解析台北市空間發展與都市熱島效應之鏈結
★ 季風輻合效應在台灣地區熱帶氣旋降雨影響之探討★ 衛星資料探討台南都市發展在熱島效應及區域降雨型態之影響
★ 福爾摩沙衛星二號遙測照相儀之在軌相互輻射校正★ Landsat-7衛 星 資 料 反 演 都 市 大 氣 氣膠光學厚度之研究與應用
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 氣膠不僅會影響全球氣候變遷,其對於人類身體健康亦會造成相當的危害,因此近年來空氣品質的監測已成為人們所關注的重要議題。其中與人類生活息息相關的近地表氣膠資訊雖然能夠透過地面測站之觀測獲得,然而其資訊卻受到地面測站的位置所限制,相反地,衛星雖然能夠進行大範圍的觀測,並且可以提供整層大氣總和的氣膠分布資訊,卻無法掌握漂浮於近地表的懸浮微粒(PM),其中最為關鍵的原因便在於氣膠垂直分布訊息之缺乏,本研究延續李等人(李,2016)之研究,改善其對於氣膠單峰消光廓線之擬合與近地表氣膠資訊之反演結果,並分析本研究方法之可行性。
  對數常態分布擁有與單峰型態的氣膠消光廓線相似的特性,本研究根據十年的MPLNET觀測資料,藉由程式擬合與迴歸分析所建立之氣象參數(氣膠光學厚度AOD、行星邊界層高度PBLH)與對數常態分布參數(對數平均數μ、對數標準差σ)之間的轉換關係式,同時為了更準確掌握近地表之氣膠資訊,根據近地表消光係數之比較結果設定地表層高度(Surface Layer Height),成功建構出完整的氣膠單峰消光廓線之繪製方法。結果分析部分,在一整天皆為單峰的情況下,本研究方法繪製之廓線結果與實際觀測資料的比較結果大致皆可以達到0.9以上的相關係數,同時在近地表消光係數之反演方面,本研究反演結果與實際資料亦達到0.8973的相關係數,驗證了本研究方法之可行性。最後本研究透過結合衛星觀測及氣象模式資料,成功將台灣地區二維平面的氣膠資訊進一步以三維空間的分布呈現,並且在與懸浮微粒濃度之相關性分析結果中,驗證了透過本研究方法取得之氣膠垂直分布資訊,確實能夠改善衛星在近地表氣膠資訊之反演結果,同時也對於台灣地區空氣品質之監測有所助益。
摘要(英) Aerosols can not only affect climate change but also human health seriously. Therefore, the monitor of air quality has become an important issue in recent years. Although we can obtain the information of aerosols near surface from ground observations, which related to public health, it is still limited by the sites of stations. Satellite remote sensing can provide the total column aerosol information over a wider spatial range than ground-based point measurements, but the information near surface is still restrictive by the vertical distribution of aerosols. Therefore, this study continued the study of Lee, 2016, aimed at improving the mapping of aerosol extinction profile for the information of aerosols near surface.
  Because of the similar pattern between log-normal distribution and aerosol vertical distribution with single-peak conditions, regression analysis has been used to construct the relationship between meteorological data (Aerosol Optical Depth, AOD and Planetary Boundary Layer Height, PBLH) and log-normal variables (μ and σ) based on ten-years dataset from MPLNET (Micropulse Lidar Network). Besides, we determined the Surface Layer Height according to comparison result of near surface aerosol extinction in order to improve the accuracy of aerosols near surface layer. The correlation coefficients between mapping results after improvements and observation data are almost up to 0.9 under single-peak conditions. The correlation coefficient of surface layer extinction also reaches up to 0.8973. Then the proposed method was further applied to satellite observation and model simulation data in mapping extinction profile around Taiwan for the 3D spatial distribution of particulate matters (PM) concentration. The correlation results between surface extinction and PM concentration indicated high feasibility of proposed method in mapping the vertical distribution of aerosols surface PM retrievals by means of satellite remote sensing, as well as facilitated to the monitor of air quality.
關鍵字(中) ★ 氣膠單峰消光廓線
★ 對數常態分布
★ 氣膠光學厚度
★ 行星邊界層高度
★ 懸浮微粒濃度
關鍵字(英)
論文目次 摘要 i
Abstract ii
致謝 iv
目錄 v
圖目錄 vii
表目錄 xi
第一章 緒論 1
1-1 背景說明 1
1-2 文獻回顧 3
1-3 研究動機與目的 13
第二章 研究資料 14
2-1 模式擬合資料 14
2-1-1 研究地區與實驗時間 14
2-1-2 AERONET 15
2-1-3 MPLNET 16
2-2 應用資料 17
2-1-1 MODIS 17
2-2-2 Himawari-8 18
2-2-3 GMAO 19
2-2-4 環保署空氣品質監測網 21
第三章 研究方法 22
3-1 研究概念 22
3-1-1 氣膠消光廓線 22
3-1-2 對數常態分布 23
3-2 資料處理與模式擬合 25
3-2-1 資料處理 25
3-2-2 氣膠消光廓線擬合 26
3-2-3 轉換關係式建立 27
3-2-4 氣膠單峰消光廓線繪製 30
3-3 研究架構 32
第四章 結果與討論 33
4-1 模式擬合之結果與分析 33
4-1-1 轉換關係式擬合結果 33
4-1-2 地表層高度設定與結果 37
4-1-3 氣膠消光廓線繪製結果與分析 43
4-2 模式應用 48
4-2-1 地面測站資料測試與討論 48
4-2-2 MODIS衛星資料測試與討論 52
4-2-3 H-8衛星資料測試與討論 64
第五章 結論與展望 68
5-1 結論 68
5-2 未來展望 70
參考文獻 71
參考文獻 Boyouk, N., Léon, J. F., Delbarre, H., Podvin, T., & Deroo, C. (2010). Impact of the mixing boundary layer on the relationship between PM2. 5 and aerosol optical thickness. Atmospheric Environment, 44(2), 271-277.
Caiazzo, F., Ashok, A., Waitz, I. A., Yim, S. H., & Barrett, S. R. (2013). Air pollution and early deaths in the United States. Part I: Quantifying the impact of major sectors in 2005. Atmospheric Environment, 79, 198-208.
Chu, D. A., Tsai, T. C., Chen, J. P., Chang, S. C., Jeng, Y. J., Chiang, W. L., & Lin, N. H. (2013). Interpreting aerosol lidar profiles to better estimate surface PM2. 5 for columnar AOD measurements. Atmospheric environment, 79, 172-187.
Compton, J. C., Delgado, R., Berkoff, T. A., & Hoff, R. M. (2013). Determination of planetary boundary layer height on short spatial and temporal scales: A demonstration of the covariance wavelet transform in ground-based wind profiler and lidar measurements. Journal of Atmospheric and Oceanic Technology, 30(7), 1566-1575.
JMA.2014. Geostationary Meteorological Satellite System for Himawari-8/9. Accessed April 09, 2015, from http://www.jma.go.jp/jma/kishou/books/index.html.
Khoshsima, M., Ahmadi-Givi, F., Bidokhti, A., & Sabetghadam, S. (2014). Impact of meteorological parameters on relation between aerosol optical indices and air pollution in a sub-urban area. Journal of Aerosol Science, 68, 46-57.
Kaufman, Y. J., Tanré, D., & Boucher, O. (2002). A satellite view of aerosols in the climate system. Nature, 419(6903), 215.
Lin, C., Li, Y., Yuan, Z., Lau, A. K., Li, C., & Fung, J. C. (2015). Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2. 5. Remote Sensing of Environment, 156, 117-128.
Limpert, E., Stahel, W. A., & Abbt, M. (2001). Log-normal Distributions across the Sciences: Keys and Clues: On the charms of statistics, and how mechanical models resembling gambling machines offer a link to a handy way to characterize log-normal distributions, which can provide deeper insight into variability and probability—normal or log-normal: That is the question. AIBS Bulletin, 51(5), 341-352.
Quan, J., Gao, Y., Zhang, Q., Tie, X., Cao, J., Han, S., ... & Zhao, D. (2013). Evolution of planetary boundary layer under different weather conditions, and its impact on aerosol concentrations. Particuology, 11(1), 34-40.
Stocker, T. (Ed.). (2014). Climate change 2013: the physical science basis: Working Group I contribution to the Fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
Tsai, T. C., Jeng, Y. J., Chu, D. A., Chen, J. P., & Chang, S. C. (2011). Analysis of the relationship between MODIS aerosol optical depth and particulate matter from 2006 to 2008. Atmospheric Environment, 45(27), 4777-4788.
Van Donkelaar, A., Martin, R. V., Brauer, M., Hsu, N. C., Kahn, R. A., Levy, R. C., ... & Winker, D. M. (2016). Global estimates of fine particulate matter using a combined geophysical-statistical method with information from satellites, models, and monitors. Environmental science & technology, 50(7), 3762-3772.
Wang, S. H., Lin, N. H., Chou, M. D., Tsay, S. C., Welton, E. J., Hsu, N. C., ... & Holben, B. N. (2010). Profiling transboundary aerosols over Taiwan and assessing their radiative effects. Journal of Geophysical Research: Atmospheres, 115(D7).

李宗庭,2016,對數常態分布在氣膠消光係數廓線擬合之應用。國立中央大學遙測科技碩士學程碩士論文,中壢。
孫達旻,2018,同時輻射率定法在向日葵八號氣膠光學厚度反演之應用。國立中央大學遙測科技碩士學程碩士論文,中壢。
賈浩平,2008,微脈衝光達及太陽光度計之應用:2005-2007年中壢地區氣膠光學垂直特性分析。國立中央大學大氣物理研究所碩士論文,中壢。
指導教授 林唐煌(Tang-Huang Lin) 審核日期 2019-1-28
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明