Study of Annual Urban Heat Island Characteristics Affected by Climatic Factors in Taipei City

• Main Authors: Lai, Wei-Erh, 賴威爾
• Other Authors: Chang, Hsiao-Tung
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/19727631845065931626

碩士 === 中國文化大學 === 建築及都市設計學系 === 101 === Taipei metropolitan area continues to expand, urbanization from the waste heat emissions, cement and green cover to reduce heat island effect phenomenon. The urban heat island effect has obvious spatial characteristics and time-varying characteristics; difference in different geographical areas and time of the heat island phenomenon. Explore the full year, Taipei urban heat island in a different space and time variation characteristics. Fixed Station to Taipei junior high and elementary school weather station data as the suburbs without heat island phenomenon, and the other to the Central Weather Bureau freshwater station reference value for 2009 full-year climate data as the basis of this study. Scale of the urban heat island characteristics of the different regions of the city where boundary maps. 　Studies have shown that both the full year in 2009 appeared urban heat island effect (UHI), an average of about UHI is 1.9 ℃, 0.2 ℃ in the range from 2.8 ℃. The average minimum temperature under UHI 3.5 to 6.2 ℃, an average of 5.4 ℃; annual average maximum temperature under UHI is -7.2 to -4.7 ℃, an average of -5.8 ℃. Taipei heat island areas, spring into the North's Shihlin District, Songshan; Southern District is Zhongzheng District, Wanhua District area as well as Eastern and Neihu, Nangang District; summer solstice in Shihlin District, Songshan and Neihu area; autumnal equinox in the Shihlin District, Songshan District, Zhongzheng District, Wanhua District and Neihu area; winter solstice is the Wanhua District, Zhongzheng District, Xinyi District and Neihu area. Heat island intensity was for the spring and winter seasons; fall some time to produce a cold island effect. SPSS statistical software through multiple regression analysis showed that changes in the heat island intensity under the influence of meteorological factors other consequential changes will affect the heat island effect related to the relevance of individual factors emerged, discussions with multivariate regression analysis to be in a variety of different factors influence each other under the effect of various factors to investigate the impact of the magnitude of the heat island effect generated amount.