Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/5899
標題: 遙測植生指標於微氣象及污染物模擬之影響-以高斯煙流軌跡模式為例
Responses of NDVI to micrometeorology and air quality simulation – A case study by Gaussian Trajectory transfer-coefficient model
作者: 朱品蓉
Chu, Ping-Jung
關鍵字: 高斯煙流軌跡模式;GTx;土地利用型態;常態化差異植生指標;葉面積指數;CTCI land use;NDVI;LAI
出版社: 環境工程學系所
引用: Birky, A. K., 2001. NDVI and a simple model of deciduous forest seasonal dynamics. Ecological Modelling 143,43-58. Brutsaert, W., 1982, Evaporation into the Atmosphere: Theory, History, and Applications. D Reidel Pubilishing Company, Dordrecht/Boston/Lancaster. Chen, C. L., Tsuang, B. J., Pan, R. C., Tu, C. Y., Liu, J. H., Huang, P. L., Bai, H. L., Cheng, M. T., 2002. Quantification on the source/receptor relationship of primary pollutants and secondary aerosols from ground sources-Part II. Model description and case study. Atmospheric Environment 36(3), 421-434. Deutsches Klimarechenzentrum (DKRZ), 1994. The ECHAM3 Atmospheric General Circulation Model. Tech. Report No.6, Dtsch. Klimarechenzent (Germany Climate Computing Center), Hamburg, Germany. Garratt, J. R., 1992, The atmospheric boundary layer. Cambridge University Press, New York, U.S.A. Hagemann, S., M. Botzet, Enil, L. D., Machenhauer, B., 1999. Derivation of global GCM boundary conditions from 1 km land use satellite data. MPI Report No. 289, Max Planck Institute for Meteorology, Hamburg. Hertel, O., Christensen, J., Runge, E. H., Asman, W. A. H., Berkowicz, R. and Hovmand, M. F., 1995. Development and Testing of a New Variable Scale Air Pollution Model-ACDEP. Atmospheric Environment 29, 1267-1290. Holtan, H. N., Stiltner, G. J., Henson, W. H., Lopez, N. C., 1975. USDAHL-74 revised model of watershed hydrology: A United States Contribution to the International Hydrological Decade. Agricultural Research Service Technical Bulletin No.1518, U.S. Department of Agriculture, Washington, D. C. Holzworth, G.C., 1972. Mixing heights, wind speeds and potential for urban air pollution through contiguous United States. AP-101, U.S. EPA, Raleigh, NC. Liang, L. S., Chen, K. S., Chu, C. R., 2004. Monitoring of Vegetation Coverage of Taiwan Island Using SPOT Imagery Data. Geoscience and Remote Sensing Symposium. Vol.5, 3424-3427. Pasquill, F., 1961. The estimation of the dispersion of windborne material, Meteorological Magazine 90, 33-49. Press, W. H., Teukolsky, S.A., Vetterling, W. T., Flannery, B. P., 1992. Numerical recipes in C : The Art of Scientific Computing – 2nd ed. Cambridge University Press, New York, U.S.A. Saito, K., Ogawa, S., Aihara, M., Otowa, K., 2001. Estimates of LAI for forest management in Okutama. 22nd Asian Conference on Remote Sensing, November 5-9, 2001, Singapore, 600-605. Scott, B. C., 1982. Theoretical estimates of the scavenging coefficient for soluble aerosol particles as a function of precipitation type, rate and altitude. Atmospehric Environment 16, 1753-1762. Seinfeld, J. H., 1986. Atmospheric Chemistry and Physics of Air Pollution. John Wiley & Sons, Inc., New York, U.S.A. Seinfeld, J. H., S. N., Pandis, 1998. Atmospheric chemistry and physics. John Wiley & Sons, Inc., New York, U.S.A. Sellers, P. J., Mintz, Y., Sud, Y. C., Dalcher, A., 1986. A simple biosphere model (SiB) for use within general circulation models. Journal of the Atmospheric Sciences 43(6), 505-531. Sun, N. Z.,1994. Inverse Problems in Groundwater Modeling. Kluwer Academic Publishers, Netherlands. Tsai, J. L., Tsuang, B. J., Lu, P. S., Yao, M. H., Shen, Y., 2007. Surface Energy Components and Land Characteristics of a Rice Paddy. Journal of Applied Meteorology and Climatology 46, 1879–1900. Tsuang, B, J., Tu, C. Y., 2001. Model structure and land parameter identification: An inverse problem approach. Journal of Geophysical Research 107, 4096-4108. Tsuang, B. J., 2003. A Gaussian plume trajectory model to quantify the source/receptor relationship of primary pollutants and secondary aerosols: Part I. Theory. Atmospheric Environment 37 (28), 3981-3991. Tsuang, B. J., 2003. Analytical asymptotic solutions to determine interactions between the planetary boundary layer and the Earth‘s surface. Journal of Geophysical Research 108(D16). Tsuang, B. J., 2003. Quantification on the source/receptor relationship of primary pollutants and secondary aerosols by a Gaussian plume trajectory model: Part I—theory. Atmospheric Environment 37, 3981-3991. Tsuang, B. J., Chao, C. P., 1999. Application of circuit model for Taipei City PM10 simulation. Atmospheric Environment 33, 1789-1801. Tsuang, B. J., Chao, J. P., 1997. Development of a circuit model to describe the advection-diffusion equation for air pollution. Atmospheric Environment 31, 639-657. Tsuang, B. J., Chen, C. L., Pan, R. C., Liu, J. H., 2002. Quantification on source/receptor relationship of primary pollutants and secondary aerosols from ground sources - Part I. Theory. Atmospheric Environment 36 (3), 411-419. Tsuang, B. J., Chen, C. L., Tu, C. Y., 2000. Vertical profiles of air pollutants measured from sampling bags by tethered balloon in Central Taiwan. Proceedings of the Australia-Taiwan joint symposium on environment modelling and management, 7-13. Tsuang, B. J., Lee, C. T., Cheng, M. T., Lin, Y. C., Lin, N. H., Chen, C. L., Kuo, P. H., 2003. A Gaussian plume trajectory model to quantify the source/receptor relationship of primary pollutants and secondary aerosols: Part III. Asian dust-storm periods. Atmospheric Environment 37 (28), 4007-4017. Tsuang, B. J., Wang, J. L., Chang, W. L. F., Cheng, M. T., Lin, M. D., 2002. Production, monitoring and simulation of VOC, O3 and aerosol over central Taiwan – Central Taiwan Air Quality Management Plan (CTAMP): Scientific Assessment,永續發展科技與政策研討會,台北市,行政院國家科學委員會永續發展推動委員會,27,297-344. Tsuang, B. J.,Tu, C. Y., Tsai, J. L., Dracup, J. A., Arpe, K., Meyers, T., 2009. A more accurate scheme for calculating Earth’s skin temperature. Climate Dynamics, Vol.32, November 2-3,251-272. Wesly, M. L., Hicks, B. B., 2000. A review of the current status of knowledge on dry deposition. Atmospheric Environment 34, 2261-2282. Xiao, X., He, L., Salas, W., Li, C., Moore III, B., Zhao, R., S. Frolking , S. Boles, 2002. Quantitative relationships between field-measured leaf area index and vegetation index derived from VEGETATION images for paddy rice fields. International Journal of Remote Sensing, 23:18, 3595-3604. 中央氣象局(CWB),2010,網址: http://www.cwb.gov.tw/ 。 中鼎工程股份有限公司(CTCI),2000,CTCI CORPORATION TEDs 5.1 archive。 中鼎工程股份有限公司(CTCI),2003,CTCI CORPORATION TEDs 6.1 archive。 中鼎工程股份有限公司(CTCI),2007,CTCI CORPORATION TEDs 7.1 archive。 交通部,2010,網址:http://www.motc.gov.tw/。 余遠城,2001,「C++徹底研究」,博碩文化。 內政部戶政司,2012,網址:http://www.ris.gov.tw/。 古頤榛,2000,「VISUAL C++ 教學範本」,基峯資訊。 嚴科智,2004,「網格模擬氣象場於軌跡模擬之發展與應用」,碩士論文,台中,國立中興大學環境工程研究所。 張晉豪,2011,「利用隨意渦流累積系統觀測水稻田溫室氣體CH4及CO2之探討」,碩士論文,台中,國立中興大學環境工程研究所。 徐定嘉,2000,「C++ 程式語言入門與應用」,博碩文化。 戴俐卉,洪景山,莊秉潔,蔡徵霖,倪佩貞,2006,「WRF模式中台灣地區土地利用型態織更新與個案研究」。95年天氣分析與預報研討會論文彙編,P.2-43,中央氣象局。 方盈,2002,「SQL SERVER 2000 中文版徹底研究」,博碩文化。 施雅軒,2007,「台灣島嶼生態環境的監測-MODIS時間序列資料的使用」全球華人地理學家大會會議論文。 杜佳穎,1999,「氣溫模式之發展與驗證」,碩士論文,台中,國立中興大學環境工程研究所。 林忠賢,2001,「軌跡模式加入高斯擴散機制之影響研究」,碩士論文,台中,國立中興大學環境工程研究所。 環保署全球資訊網(EPA),2007,網址:http://www.epa.gov.tw。 羅時凡、魏浚紘、 李崇誠、 陳朝圳,2009,「遙測技術應用於溪頭地區柳杉人工林之森林健康調查」,林業研究季刊31(1),37-54。 美國國家航空暨太空總署 (National Aeronautics and Space Administration, NASA),2012,網址:http://www.nasa.gov/。 莊秉潔,2006,「空氣品質模式認可申請文件資料-高斯軌跡傳遞係數 模式系統」。 莊秉潔、陳建隆、劉貞淮、潘榮長,1998,「電路模式結合反軌跡模式模擬台中地區大氣污染物濃度之研究」,第十五屆空氣污染控制技術研討會論文集,第32-38頁,高雄。 行政院農業委員會林務局農林航空測量所,2002,「91年綠資源 NDVI調查計畫成果報告書」。 許乾忠,1997,「台中地區大氣懸浮微粒乾沈降之模式發展」,碩士論文,台中,國立中興大學環境工程研究所。 許家綸,2007,「風場軌跡模式參數決定對空品模式模擬最佳化之研究」,碩士論文,台中,國立中興大學環境工程研究所。 郭丁彰,2003,「氣象觀測於軌跡模式的發展與改善」,碩士論文,台中,國立中興大學環境工程研究所。 郭珮萱,2002,「排放量時間解析、車行揚塵及海鹽模組應用於高斯軌跡煙流模式之發展」,台中,國立中興大學環境工程研究所。 鄭曼婷,2000,「中部地區懸浮微粒特性及污染來源分析」,國科會/環保署科技合作研究計劃,期末報告。 黃沛霖,2001,「軌跡模式加入地形參數之影響研究」,碩士論文,台中,國立中興大學環境工程研究所。 黃漢淨,2005,「以遙測技術探討土地利用對崩塌發生之影響」,碩士班專題討論報告,屏東,國立屏東科技大學森林系。 黨美齡,2010,「風場軌跡模式加入NCEP 資料於台灣境外污染長程傳輸之研究」,碩士論文,台中,國立中興大學環境工程研究所。
摘要: 
本研究主要目的為修改高斯煙流軌跡模式 (Gaussian Trajectory transfer-coefficient model, GTx),將美國國家航空暨太空總署(National Aeronautics and Space Administration, NASA) 衛星遙測之常態化差異植生指標 (Normalized Difference Vegetation Index, NDVI)資料加入模式計算模組,冀望利用 NDVI對植物生長敏感的特性獲得較符合真實情形之葉面積指數 (Leaf Area Lndex, LAI)資料庫,改善高斯煙流軌跡模式對氣象場之模擬,進而探討遙測植生指標對污染物濃度模擬之影響。
由於葉面積指數人工量測困難,且常有分期種植不同作物的情形,過去僅能利用季節變化建置大範圍之葉面積指數資料庫,易造成葉面積指數不符合真實狀態,故本研究於高斯煙流軌跡模式中加入 NASA衛星遙測之常態化差異植生指標 (Normalized Difference Vegetation Index, NDVI)資料,配合中鼎工程顧問公司 (CTCI)土地利用型態建立葉面積指數資料庫,以探討微氣象及污染物的變化並與觀測值比較。
結果顯示高斯煙流軌跡模式加入 NDVI資料後,溫度模擬有改善的趨勢,但冬季仍有低估現象。模擬霧峰農業試驗所2011年7月至12月期間,使用 NDVI之日均溫均方根誤差較小,顯示使用 NDVI進行 LAI之計算則可改善水田 LAI非隨季節變化所產生之模式模擬誤差。使用 NDVI資料在模擬污染物濃度部分未有明顯改善,應是受到其他計算參數影響所導致。

Dynamics vegetation module is important for an air quality model to determine the micrometeorology. NDVI (Normalized Difference Vegetation Index) and LAI (Leaf Area Index) are indispensable indices for monitoring. In this study, NDVI data from NASA (National Aeronautics and Space Administration) was used as an input of Gaussian Trajectory transfer-coefficient model (GTx) for LAI calculating, and improving the simulation of micrometeorology and concentration of air pollutants.
LAI was assumed as a function of Julian day in GTx. However, it’s hard to know the seasonal and annual variations in LAI, and it’s difficult to used in large area for estimating LAI. In this study, CTCI land use data and NDVI (Normalized Difference Vegetation Index) data from NASA (National Aeronautics and Space Administration) was used as an input of GTx to accurate the simulation of micrometeorology.
The results shows that in rice paddy field, using NDVI as an input of GTx in Taiwan Agricultural Research Institute (TARI) has reduce the RMSE of daily temperature from September to December in 2011. But there is no obvious variation in air quality simulation.
URI: http://hdl.handle.net/11455/5899
其他識別: U0005-0808201217043500
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