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  1. NTU Theses and Dissertations Repository
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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80339
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳維婷(Wei-Ting Chen)
dc.contributor.authorTzu-Han Hsuen
dc.contributor.author徐子涵zh_TW
dc.date.accessioned2022-11-24T03:04:44Z-
dc.date.available2021-07-08
dc.date.available2022-11-24T03:04:44Z-
dc.date.copyright2021-07-08
dc.date.issued2021
dc.date.submitted2021-06-22
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Boundary-Layer Meteorology, 113(2), 249–271. https://doi.org/10.1023/b:boun.0000039371.41823.37 Epifanio, C. C., Durran, D. R. (2001). Three-Dimensional Effects in High-Drag-State Flows over Long Ridges. Journal of the Atmospheric Sciences, 58(9), 1051–1065. https://doi.org/10.1175/1520-0469(2001)058<1051:tdeihd>2.0.co;2 Gohm, A., Harnisch, F., Vergeiner, J., Obleitner, F., Schnitzhofer, R., Hansel, A., Fix, A., Neininger, B., Emeis, S., Schäfer, K. (2009). Air Pollution Transport in an Alpine Valley: Results From Airborne and Ground-Based Observations. Boundary-Layer Meteorology, 131(3), 441–463. https://doi.org/10.1007/s10546-009-9371-9 Henne, S., Furger, M., Nyeki, S., Steinbacher, M., Neininger, B., de Wekker, S. F., Dommen, J., Spichtinger, N., Stohl, A., Prévôt, A. S. (2004). Quantification of topographic venting of boundary layer air to the free troposphere. 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(2008). A Three-Dimensional Anelastic Model Based on the Vorticity Equation. Monthly Weather Review, 136(1), 276–294. https://doi.org/10.1175/2007mwr2095.1 Junker, C., Wang, J.-L., Lee, C.-T. (2009). Evaluation of the effect of long-range transport of air pollutants on coastal atmospheric monitoring sites in and around Taiwan. Atmospheric Environment, 43(21), 3374–3384. https://doi.org/10.1016/j.atmosenv.2009.03.035 Lai, H.-C., Lin, M.-C. (2020). Characteristics of the upstream flow patterns during PM2.5 pollution events over a complex island topography. Atmospheric Environment, 227, 117418. https://doi.org/10.1016/j.atmosenv.2020.117418 Lang, M. N., Gohm, A., Wagner, J. S. (2015). The impact of embedded valleys on daytime pollution transport over a mountain range. Atmospheric Chemistry and Physics, 15(20), 11981–11998. https://doi.org/10.5194/acp-15-11981-2015 Lehner, M., Rotach, M. (2018). 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Estimating Topographic Blocking Using a Froude Number When the Static Stability Is Nonuniform. Journal of the Atmospheric Sciences, 65(3), 1035–1048. https://doi.org/10.1175/2007jas2100.1 Savtchenko, A., Ouzounov, D., Ahmad, S., Acker, J., Leptoukh, G., Koziana, J., Nickless, D. (2004). Terra and Aqua MODIS products available from NASA GES DAAC. Advances in Space Research, 34(4), 710–714. https://doi.org/10.1016/j.asr.2004.03.012 Serafin, S., Adler, B., Cuxart, J., De Wekker, S., Gohm, A., Grisogono, B., Kalthoff, N., Kirshbaum, D., Rotach, M., Schmidli, J., Stiperski, I., Večenaj, Ž., Zardi, D. (2018). Exchange Processes in the Atmospheric Boundary Layer Over Mountainous Terrain. Atmosphere, 9(3), 102. https://doi.org/10.3390/atmos9030102 Smolarkiewicz, P. K., Rotunno, R. (1989). Low Froude Number Flow Past Three-Dimensional Obstacles. Part I: Baroclinically Generated Lee Vortices. Journal of the Atmospheric Sciences, 46(8), 1154–1164. https://doi.org/10.1175/1520-0469(1989)046<1154:lfnfpt>2.0.co;2 Steyn, D. G., De Wekker, S. F., Kossmann, M., Martilli, A. (2012). Boundary Layers and Air Quality in Mountainous Terrain. Springer Atmospheric Sciences, 261–289. https://doi.org/10.1007/978-94-007-4098-3_5 Su, S.-H., Chu, J.-L., Yo, T.-S., Lin, L.-Y. (2018). Identification of synoptic weather types over Taiwan area with multiple classifiers. Atmospheric Science Letters, 19(12). https://doi.org/10.1002/asl.861 Wagner, J. S., Gohm, A., Rotach, M. W. (2014). The impact of valley geometry on daytime thermally driven flows and vertical transport processes. Quarterly Journal of the Royal Meteorological Society, 141(690), 1780–1794. https://doi.org/10.1002/qj.2481 Wang, S.-H., Hung, W.-T., Chang, S.-C., Yen, M.-C. (2016). Transport characteristics of Chinese haze over Northern Taiwan in winter, 2005–2014. Atmospheric Environment, 126, 76–86. https://doi.org/10.1016/j.atmosenv.2015.11.043 Winker, D. M., Pelon, J. R., McCormick, M. P. (2003). The CALIPSO mission: spaceborne lidar for observation of aerosols and clouds. Lidar Remote Sensing for Industry and Environment Monitoring III. https://doi.org/10.1117/12.466539 Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., Hunt, W. H., Young, S. A. (2009). Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms. Journal of Atmospheric and Oceanic Technology, 26(11), 2310–2323. https://doi.org/10.1175/2009jtecha1281.1 Wu, C.-M., Lin, H.-C., Cheng, F.-Y., Chien, M.-H. (2019). Implementation of the Land Surface Processes into a Vector Vorticity Equation Model (VVM) to Study its Impact on Afternoon Thunderstorms over Complex Topography in Taiwan. Asia-Pacific Journal of Atmospheric Sciences, 55(4), 701–717. https://doi.org/10.1007/s13143-019-00116-x
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80339-
dc.description.abstract"本研究使用觀測資料和高解析模式,探討細懸浮微粒濃度(fine particulate matter, PM2.5)的空間分布在台灣冬春季連續弱綜觀天氣下的變化。 根據台灣天氣型態資料庫、地面降雨和位於台灣東南風場下的上游測站石垣島探空資料,在2008至2019年台灣冬春季中,有302天被定義為弱綜觀天氣型態。另外,將台灣各個地面空氣品質測站的日均PM2.5濃度與各個測站該年冬春季均PM2.5濃度的比值定義為各測站的PM2.5比率,再計算弱綜觀天氣的日子下各個地面測站PM2.5比率大於1的頻率,此無因次頻率指標(無單位)代表各個測站在弱綜觀天氣下PM2.5相較於季節背景的加強程度。在弱綜觀天氣下PM2.5被增強的高頻率(大於0.65)測站位置,和背景東南風場下的背風側弱風區域相符。在連續弱綜觀天氣的日子下,台灣區域綜觀風場會由東南東風向轉為南南東風向,而位於背風側測站的頻率指標也會提高至大於0.8;此外,在連續弱綜觀天氣下,台北盆地PM2.5加強的頻率會在第二天大幅增加。觀測分析結果顯示連續弱綜觀日在台灣北部的日均PM2.5相較於各個測站冬春季背景有最顯著的增加;此外,在台灣複雜地形下,上游風場的風向改變對於背風側局地環流有重要的影響,並且會進一步影響粒狀汙染物在背風側的分布和傳送方向。 為了進一步探討背景風場的方向轉移對細粒狀汙染物傳送的影響,我們利用具有高解析度台灣地形的渦度向量模式,在兩組不同風向110度(東南東風)和140度(南南東風) 的背景風場下,以被動示蹤物(tracer) 模擬台灣重要人為排放源的的局地傳送。兩組實驗皆顯示白天台灣中北部地區的氣流由背風渦漩所引導的西南風場主導,因此從中部排放的被動示蹤物容易傳向台灣北部陸地,並且多數汙染物會局限在背風渦漩和山區之間。此外,南南東風的模擬中,台灣西北端背風渦漩的向北移動能在背風側引發更大範圍的西南回流,將被動示蹤物傳至更北的地區。整體而言,數值模擬結果顯示台灣複雜地形背風側渦漩的位置和移動,對上游風向十分敏感,並且對汙染物的向北傳送扮演著重要角色。"zh_TW
dc.description.provenanceMade available in DSpace on 2022-11-24T03:04:44Z (GMT). No. of bitstreams: 1
U0001-2106202113370400.pdf: 3453276 bytes, checksum: eb2b3824e9ab96ab1f79bb5a9f87b99e (MD5)
Previous issue date: 2021
en
dc.description.tableofcontents誌謝 i 中文摘要 ii Abstract iv Contents vii Figure Captions viii Table Captions xi 1. Introduction 1 2. Method 7 2.1 Meteorological and PM2.5 Data 7 2.2 Definition of Weak Synoptic Weather Days 7 2.3 The Enhanced PM2.5 ratio index 9 2.4 Model Description and Experiment Setup 9 3 Results 13 3.1 The Enhanced PM2.5 ratio index and Wind Flow under Weak Synoptic Weather Days 13 3.2 The Pollutant Enhancement in Consecutive Weak Synoptic Weather Days 14 3.3 Numerical Simulations 17 4 Discussion 20 4.1 The Quantification of Mountain Blocking Effect and Lee Vortices 20 4.2 The Vertical Distribution of the Particulate Pollution 21 5 Conclusion and Future Work 24 References 26 Figures 32 Tables 43
dc.language.isoen
dc.subject細懸浮微粒zh_TW
dc.subject局部環流zh_TW
dc.subject複雜地形zh_TW
dc.subjectlocal circulationen
dc.subjectmountainous terrainen
dc.subjectfine particulate matteren
dc.title冬春季連續弱綜觀天氣日細粒狀汙染物在台灣複雜地形背風側之分布zh_TW
dc.titleThe Fine Particulate Pollutants Distribution over the Lee Side of Mountains in Taiwan under Consecutive Cold-season Weak Synoptic Daysen
dc.date.schoolyear109-2
dc.description.degree碩士
dc.contributor.oralexamcommittee吳健銘(Hsin-Tsai Liu),蘇世顥(Chih-Yang Tseng),Christopher Moseley
dc.subject.keyword細懸浮微粒,局部環流,複雜地形,zh_TW
dc.subject.keywordfine particulate matter,local circulation,mountainous terrain,en
dc.relation.page44
dc.identifier.doi10.6342/NTU202101073
dc.rights.note同意授權(限校園內公開)
dc.date.accepted2021-06-22
dc.contributor.author-college理學院zh_TW
dc.contributor.author-dept大氣科學研究所zh_TW
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