後續研究建議

為獲得更精確的臺北盆地溫度分佈及都市熱島強度結果，在後續的相關研究 實驗，應將本研究未納入之因素，如流動人口密度、新北市地理資訊統一建制、

河岸區域安排更多固定溫度測點路線，及縮小實測與 CFD 模擬間都市熱島強度數 值之差距等予以安排納入實驗解析期能獲致更精準的結果。然而依據本研究結果 已能對今日臺北盆地都市熱島效應有相當了解，若能以此研究成果為基礎結合專 家學者和行政單位共同努力透過各種建設、設計、宣導及執行等策略以減緩都市 熱島效應，改善都市生活環境並朝向永續都市的目標邁進。

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參考文獻

一、中文參考文獻

1. 林憲德、孫振義、李魁鵬、郭曉青，2005，台南地區都市規模與都市熱島強 度之研究，都市與計劃 ，32卷1期，pp91～96

2. 林憲德、郭曉青、李魁鵬、陳子謙、陳冠廷，2001，台灣海岸型城市之都市

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二、英文參考文獻

1. B.C. Hedquist, S. Di Sabatino, H.J.S. Fernando, L.S. Leo, A.J. Brazel, 2009, Results From The Phoenix Arizona Urban Heat Island Experiment, The seventh International Conference on Urban Climate,29 June - 3 July 2009, Yokohama, Japan, pp.1~4

2. Sun Chen-Yi; Anthony J Brazel; Winston T. L. Chow; Brent C. Hedquist; Lela Prashad, 2009,Desert heat island study in winter by mobile transect and remote sensing techniques, Theoretical and Applied Climatology, Volume 98, Issue 3-4, pp. 323-335

3. David R. Streutker, 2002, A remote sensing study of the urban heat island of Houston, Texas, International Journal of Remote Sensing, Volume 23, Number 13, pp.2595-2608(14)

4. Jeffrey B. Basara, Heather G. Basara, Bradley G. Illston, and Kenneth C.Crawford1,2010 ,The Impact of the Urban Heat Island during an Intense Heat Wave in Oklahoma City, Advances in Meteorology,Volume 2010, pp.1-10 5. K. P. Gallo, A. L. McNab, T. R. Karl, J. F. Brown, J. J. Hood, and J.D.

Tarpley,1993, The Use of NOAA AVHRR Data for Assessment of the Urban Heat Island Effec, Journal of Applied Meteorology 32,pp.899-908

6. Kinouchi, J-Yoshitani, 2001, Simulation of the urban heat island in Tokyo with future possible increases of anthropogenic heat, vegetation cover and water surface, Proceedings of the 2001 Interational Symposium on Enviromental Hydraulics, pp.1~6

7. Kohin Cho, Takaaki Kono,Yasunobu Ashie, 2008, Large-scale cfd Simulation of Heat Island Phenomenon and countermeasures in Tokyo, Annual Report of the Earth Simulation Center Aprial 2007~March 2008, pp.67~71

8. Kun Li, Zhuang Yu, 2008, Comparative and Combinative Study of Urban Heat island in Wuhan City with Remote Sensing and CFD Simulation, Sensors 2008, 8, 6692-6703; DOI: 10.3390/s8106692, pp.1~12

9. Leong Wai Siu,2011, Quantifying urban heat island intensity in Hong Kong SAR, China, THE UNIVERSITY OF HONG KONG, MPhil THESIS,pp.13-127

10. Manju Mohan, Anurag Kandya, Arunachalam Battiprolu,2011,Urban Heat Island Effect over National Capital Region of India: A Study using the Temperature Trends, Journal of Environmental Protection, Volume 2, pp.465-472

11. Melissa Hart and David J. Sailor,2007, Assessing Causes in Spatial Variability in Urban Heat Island Magnitude, Portland State University, Portland OR,pp.1-6 12. N. Magee, J. Curtis, and G. Wendler,1999,The Urban Heat Island Effect at

Fairbanks, Alaska,Theor. Appl. Climatol,Volume64, pp39-47

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13. P. Shahmohamadi1, A.I. Che-Ani1, N.M. Tawil, K.N.A. Maulud, M.M.

Tahir,2011, The Conceptual Framework to Achieve Energy Consumption Blance in Kuala Lumpur Shophouses for Mitigating Urban Heat Island Effects WithFocusing on Anthropogenic Heat Factor, Journal of Surveying, Construction

& Property , Volume 2 Issue 1,pp.32-53

14. .Philip Morris, 2012, Computational Fluid Dynamics Simulation and Wind Tunnel Testing: Mitigating London’s Urban Heat Island, The University of Newcastle upon Tyne, UK, pp.32~39

15. Published by: Greater London Authority City Hall, undertaken by : King’s College London, Arup, London School of Hygiene and Tropical MedicineUniversity of Birmingham, Brunel University, Arizona State University, 2006, London’s Urban Heat Island: A Summary for Decision Makers,pp.6-26

16. Robert D. Bornstein, 1968, Observations of the Urban Heat Island Effect in New York City, American Mathematical Society, Volume 7 Issue 4,pp.575–582

17. Rosenzweig, C., Solecki, W.D., Parshall, L., Lynn, B., Cox. J., Goldberg, R.

Hodges, S., Gaffin, S., Slosberg, R.B., Savio, P., Dunstan, F. and Watson, M.,2009, New York City’s Urban Heat Island, Bulletin of the American Meteorological Society , Volume 90, pp.1297-1312

18. Rajagopalan Priyadarsini, Wong Nyuk Hien, 2009, Causes of Urban Heat Island in Singapore: An investigation using computational fluid dynamics (CFD), 26^th Conference on Passive and Low Energy Architecture, Quebec City, Canada,22~24 June 2009, pp.1~6

19. Steve Kardinal Jusuf à , N.H. Wong, Emlyn Hagen, Roni Anggoro, Yan Hong, 2007 ,The influence of land use on the urban heat island in Singapore,Habitat International , Volume 31,pp.232–242

20. Winston T. L. Chow, Matthias Roth, 2006, Temporal dynamics of the urban heat island of Singapore, International Journal of Climatology, Volume 26, Issue 15, pages 2243–2260

21. Xiao-Ling Chen , Hong-Mei Zhao , Ping-Xiang Li , Zhi-Yong Yin,2006, Remote sensing image-based analysis of the relationship betweenurban heat island and land use/cover changes, Remote Sensing of EnvironmentVolume 104 ,pp.133–146 22. Yasunobu Ashie, Takaaki kono, keiko Takahashi, 2010, Computainal Fluid Dynamics Simulation of Daytime and Nighttime Summer Temperatures in 23 Special Wards of Tokyo, Annual Report of the Earth Simulator Center, April 2009-March 2010, pp.43~47.

23. Yasunobu Ashie, Takayuki Tokairin, Takaaki Kono, Keiko Takahashi, 2007, Numerical Simulation of Urban Heat Island in a Ten-kilometer Square Area of Tokyo, Annual Report of the Earth Simulator Center April 2006~March 2007, pp.45~49

24. Yasunobu Ashie, Yasuo Kuwasawa, Keiko Takahashi, Masayuki Kakei, 2011, Three-Dimensional Nonsteady Coupled Analysis of Thermal Environment and Energy Systems in Urban Area, Annual Report of the Earth Simulator Center April 2010~March 2011, pp.39~41

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25. Yasunobu Ashie, Koji Kagiya, Takaaki Kono, 2012, CFD Simulation of Summertime Air Temperature Distribution of the Ten Kilo-meter Square Area of Center of Tokyo, Annual Report of the Earth Simulator Center April 2011 - March 2012, Chapter 1 Earth Science, pp.1~5

26. Yasunobu Ashie, Takayuki Tokairin, Takaaki Kono, Keiko Takahashi, 2006, Numerical Simulation of Urban Heat Island in a Ten-kilometer Square Area of Central Tokyo, Annual Report of the Earth Simulator Center April 2006 - March 2007, Chapter 1 Earth Science, pp.45~48

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分析，運算，統計，連結與結果呈現；包含 overlap/buffer/calculator 等功 能。

1. 環域分析(buffer analysis)：為了區別某一範圍的實體資料對其周圍地物的物理 特性影響而在其指定周圍建立起特定形狀(如圓形)的帶狀區域，並進行套疊後