The influence of spatial arrangement of urban parks on local temperature reduction

• Main Authors: Ciao-Ting Lin, 林巧婷
• Other Authors: 林寶秀
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/89410088897433650696

碩士 === 國立臺灣大學 === 園藝暨景觀學系 === 103 === With the process of urbanization, lifestyle of high density of industrial and commercial activities, which is highly dependent on the consumption of non-renewable energy sources, such as burning oil, coal, natural gas and other fossil fuels, has changed urban climate and caused environmental problems, declined the urban living standards and affected the sustainable urban development. Urban heat island (UHI) is one of most serious parts. A city park can produce local cold island effect, and regulate urban microclimate as to improve efficiency of urban thermal environment, so it is importance for the city to has green spaces. In the past, planners always primarily focused on providing sufficient quantity of parks, and used service radius of the park to be a reference when planning the location of the park. However, in the trend of global climate change and the heat island effect, local cold island effect of the park also offer an important consideration factors, and it should be included in planning. Previous studies focused on the cooling effect of surrounding outdoor environment of one single park, but in the aspect of the number of parks and their spatial distribution, its cooling effect on the entire region has not yet been clarified. So, the main purpose of this study was to investigate that how spatial distributions of parks affect the park local cold island effect. Study sites located in the Zhongshan district, Taipei, with area of about 171 hectares. In this study, the spatial distribution of the park is defined by both the total area of the park, and the distribution and location of the park. The study refers to the past literature Construction and Planning Agency (1999), and Parks and Street Lights Office of Taipei City Government, and develop the scenario. Finally, there are eight kinds of the scenario. Use ENVI-met 3.1 software as tools to conduct numerical simulations. Simulation period is from 8:00 a.m. to 6:00 p.m. Then, we take the hottest period time, 1:00 pm, to analysis. Study results showed that the different spatial distribution of parks resulted in different local park cooling effect. Stepwise multiple regression results showed that the total park area and spatial distribution eveness were the key factors influence the local park cooling effect. The more total park area, the better cooling effect it can be. In the case that the parks scattered over the site, we will get a well local park cooling effect.