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  1. NTU Theses and Dissertations Repository
  2. 生物資源暨農學院
  3. 園藝暨景觀學系
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52341
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???org.dspace.app.webui.jsptag.ItemTag.dcfield???ValueLanguage
dc.contributor.advisor林寶秀
dc.contributor.authorCiao-Ting Linen
dc.contributor.author林巧婷zh_TW
dc.date.accessioned2021-06-15T16:12:18Z-
dc.date.available2017-08-19
dc.date.copyright2015-08-19
dc.date.issued2015
dc.date.submitted2015-08-18
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12. Bruse, M. & Fleer. H. (1998). Simulating surface–plant–air interactions inside urban environments with a three dimensional numerical model. Environmental Modelling & Software, 13(3–4), 373-384.
13. Bruse, M. & Skinner, C. J. (1999). Rooftop greening and local climate: A case study in Melbourne Available.
14. Bruse, M., Thönnessen, M. & Radtke, U. (1999). Practical and theoretical investigation of the influence of facade greening on the distribution of heavy metals in urban streets. Proceedings International Conference on Urban Climatology & International congress of Biometeorology, Sydney.
15. Ca, V. T., Asaeda, T. & Abu, E. M. (1998). Reductions in air conditioning energy caused by a nearby park. Energy and Buildings, 29(1), 83-92.
16. Carnielo, E. & Zinzi, M. (2013). Optical and thermal characterisation of cool asphalts to mitigate urban temperatures and building cooling demand. Building and Environment, 60, 56-65.
17. Chang, C. R., Li, M. H. & Chang, S.D. (2007). A preliminary study on the local cool-island intensity of Taipei city parks. Landscape and Urban Planning, 80(4), 386-395.
18. Chen, Y. & Wang, N. H. (2006). Thermal benefits of city parks. Energy and Buildings, 38(2), 105-120.
19. Chow, W. T. L. & Brazel, A. J. (2012). Assessing xeriscaping as a sustainable heat island mitigation approach for a desert city. Building and Environment, 47, 170-181.
20. Chow, W. T. L., Pope, R. L., Martin, C. A. & Brazel, A. J. (2011) Observing and modeling the nocturnal park cool island of an arid city: horizontal and vertical impacts. Theoretical and Applied Climatology, 103(1-2), 197-211.
21. Dimoudi, A. & Nikolopoulou, M. (2003). Vegetation in the urban environment: microclimatic analysis and benefits. Energy and Buildings, 35(1), 67-76.
22. Hamada, S. & Ohta, T. (2010). Seasonal variations in the cooling effect of urban green areas on surrounding urban areas. Urban Forestry and Urban Greening. 9; 15-24.
23. Honjo, T. & Takakura, T. (1990). Simulation of thermal effects of urban green areas on their surrounding areas. Energy and Buildings, 15(3–4), 443-446.
24. Huttner, S. (2012). Further development and application of the 3D microclimate simulation ENVI-met. Ph.D. thesis, Johannes Gutenberg University of Mainz, Mainz.
25. Huttner, S., Bruse, M. & Dostal, P. (2008). Using ENVI-met to simulate the impact of global warming on the microclimate in central European cities, 5th Japanese-German Meeting on Urban Climatology, pp.307-312.
26. Jesionek, K., Bruse, M. (2003). Impacts of vegetation on the microclimate: Modelling standardized building structures with different greening level, ICUC5, Lodz.
27. Lalic, B. & Mihailovic, D. T. (2004). An empirical relation describing leaf-area density inside the forest for environmental modeling. Journal of Climate and Applied Meteorology, 43, 641–645.
28. Lahme, E. & Bruse, M. (2003). Microclimatic effects of a small urban park in densely built-up areas: Measurements and model simulations, ICUC5, Lodz.
29. Krüger, E. L., Minella, F. O. & Rasia, F. (2011). Impact of urban geometry on outdoor thermal comfort and air quality from field measurements in Curitiba, Brazil. Building and Environment, 46(3), 621-634.
30. Middel, A., Häb, K., Brazel, A. J., Martin, C. A. & Guhathakurta, S. (2014). Impact of urban form and design on mid-afternoon microclimate in Phoenix Local Climate Zones. Landscape and Urban Planning, 122, 16-28.
31. Ng, E., Chen, L., Wang, Y. & Yuan, C. (2012). A study on the cooling effects of greening in a high-density city: An experience from Hong Kong. Building and Environment, 47, 256-271.
32. Peng, L. L. H. & Jim, C. Y. (2013). Green-Roof effects on neighborhood microclimate and human thermal sensation. Energies, 6(2), 598-618.
33. Sandra, O., Henrique, A. & Teresa, V. (2011). The cooling effect of green spaces as a contribution to the mitigation of urban heat. A case study in Lisbon. Building and Environment, 46, 2186-2194.
34. Shahidan, M. F., Jones, P. J., Gwilliam, J. & Salleh, E. (2012). An evaluation of outdoor and building environment cooling achieved through combination modification of trees with ground materials. Building and Environment, 58, 245-257.
35. Shashua-Bar, L. & Hoffman, M. E. (2000). Vegetation as a climatic component in the design of an urban street - An empirical model for predicting the cooling effect of urban green areas with trees. Energy and Buildings, 31(3), 221-235.
36. Shashua-Bar, L. & Hoffman, M. E. (2002). The Green CTTC model for predicting the air temperature in small urban wooded sites. Building and Environment, 37(12), 1279-1288.
37. Skelhorn, C., Lindley, S. & Levermore, G. (2014). The impact of vegetation types on air and surface temperatures in a temperate city: A fine scale assessment in Manchester, UK. Landscape and Urban Planning, 121, 129-140.
38. Spronken-Smith, R. A. & Oke, T. R. (1998). The thermal regime of urban parks in two cities with different summer climates, International Journal of Remote Sensing, 19, 2085-2104.
39. Srivanit, M. & Hokao, K. (2013). Evaluating the cooling effects of greening for improving the outdoor thermal environment at an institutional campus in the summer. Building and Environment, 66, 158-172.
40. Vos, P. E. J., Maiheu,B., Vankerkom, J. & Janssen, S. (2013). Improving local air quality in cities: To tree or not to tree? Environmental Pollution, 183, 113-122.
41. Wania, A., Bruse, M., Blond, N. & Weber, C. (2012). Analysing the influence of different street vegetation on traffic-induced particle dispersion using microscale simulations. Journal of Environmental Management, 94(1), 91-101.
42. Wong, N. H. & Jusuf, S. K. (2008). GIS-based greenery evaluation on campus master plan. Landscape and Urban Planning, 84(2), 166-182.
43. Wong, N. H., Jusuf, S. K., la Win, A. A., Thu, H. K., Negara, T. S. & X. C., Wu, (2007). Environmental study of the impact of greenery in an institutional campus in the tropics. Building and Environment, 42(8), 2949-2970.
44. Yang, X., Zhao, L., Bruse, M. & Meng, Q. (2012). An integrated simulation method for building energy performance assessment in urban environments. Energy and Buildings, 54, 243-251.
45. Yang, X., Zhao, L., Bruse, M., & Meng, Q. (2013). Evaluation of a microclimate model for predicting the thermal behavior of different ground surfaces. Building and Environment, 60, 93-104.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52341-
dc.description.abstract隨著都市化的過程,高密集的工商活動、高度依賴與消耗非再生能源的生活型態,改變都市氣候並且造成都市環境問題,降低都市居民的生活品質以及影響都市的永續發展,其中都市熱島現象的影響受到人們關注,而都市公園能夠產生局部冷島效應,調節都市微氣候達到改善都市熱環境的效益,因此綠地空間的存在對於都市有其重要性。
過去公園規劃主要著重於提供足夠的公園數量,並且以公園服務半徑作為公園劃設區位的參考,然而在全球氣候變遷與熱島效應的趨勢下,公園所能提供的冷島效應也應該被納入規劃的重要考量因子。過去研究著重在單一公園對周圍戶外環境的降溫影響,關於公園數量與其空間分布,對整個區域內的降溫影響目前尚未被釐清,因此本研究的主要目的為探討公園空間分布型態對降溫的影響。
研究地點位在臺北市中山區,面積約171公頃。本研究的公園空間分布型態由公園總面積、公園分布位置兩者來定義,參考過去文獻以及內政部營建署的公園面積分類、臺北市政府工務局路燈工程處的公園管轄面積進行方案研擬,最後共計八種公園空間分布型態方案。研究工具使用ENVI-met 3.1軟體進行方案的數值模擬,模擬時段為早上8點到下午6點。最後取模擬結果的最高溫時段下午2點以及方案間溫差最大的下午6點,進行後續資料分析。
研究結果顯示,不同公園空間分布型態對戶外環境的降溫效果有顯著差異。以逐步回歸分析的結果顯示,影響公園降溫最大的因素為公園總面積,其次為公園的空間分布,當公園總面積越大的情況,降溫效果越好,另一方面,公園空間分布越分散,效果越好。
zh_TW
dc.description.abstractWith 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.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T16:12:18Z (GMT). No. of bitstreams: 1
ntu-104-R02628312-1.pdf: 8836113 bytes, checksum: 652e067c7099e78a281c1f4f84ff2152 (MD5)
Previous issue date: 2015
en
dc.description.tableofcontents第一章 緒論 1
第一節 研究動機 1
第二節 研究目的 2
第三節 研究流程 2
一、緒論 2
二、文獻回顧 3
三、研究方法 3
四、研究結果 3
五、結論與建議 3
第二章 文獻回顧 5
第一節 都市氣候與熱島效應 5
一、都市氣候 5
二、熱島效應 6
第二節 都市能量系統 7
第三節 都市公園減緩熱島效應 9
一、公園的局部冷島效應 9
二、公園空間分布影響公園周圍環境降溫 11
三、公園總面積影響公園周圍環境降溫 11
第四節 ENVI-met相關研究與應用 12
一、ENVI-met軟體簡介 12
二、ENVI-met軟體模擬限制與應用 18
第三章 研究方法 25
第一節 研究架構與內容 25
一、研究架構 25
二、研究假設 25
三、研究變項定義 26
第二節 研究地區 28
第三節 ENVI-met設定與模型驗證 29
一、建模與設定 29
二、模型驗證 30
第四節 都市公園空間分布型態的配置方案 33
一、方案發展過程與原則 33
二、方案說明 35
第五節 資料處理與分析計畫 45
一、資料處理 45
二、研究假設檢定 46
第四章 研究結果 49
第一節 不同方案的氣溫表現 49
一、現況與各方案在不同時刻的氣溫表現 49
二、不同方案間氣溫表現之比較 60
第二節 不同方案對降溫影響之分析 72
一、各方案在不同時刻的降溫效果 72
二、公園總面積對降溫效果之影響分析 73
(一)公園分布皆為上風處,公園總面積為6公頃或36公頃 73
(二)公園分布皆為下風處,公園總面積為6公頃或36公頃 76
(三)公園分布皆為平均分散,公園總面積為6公頃或36公頃 79
三、公園空間分布對降溫之影響分析 82
(一)公園總面積皆為6公頃,空間分布為上風處或下風處 82
(二)公園總面積皆為36公頃,空間分布為上風處或下風處 85
(三)公園總面積皆為36公頃,空間分布屬小型或中型公園平均分散88
四、公園空間分布型態對降溫之影響分析 91
五、公園空間分布型態對降溫之分析 95
第三節 驗證研究假設 97
第五章 結論與建議 99
第一節 結論 99
一、公園總面積對降溫效果的影響 99
二、公園空間分布對降溫效果的影響 99
三、公園空間分布型態的對降溫效果的影響 100
第二節 建議 101
一、都市公園的空間分布型態 101
二、後續研究 101
6 參 考 文 獻 103
dc.language.isozh-TW
dc.subjectENVI-metzh_TW
dc.subject數值模擬zh_TW
dc.subject空間分布型態zh_TW
dc.subject都市公園zh_TW
dc.subject都市熱島zh_TW
dc.subjectNumerical simulationen
dc.subjectUrban parken
dc.subjectSpatial arrangementen
dc.subjectUrban Heat Islanden
dc.subjectENVI-meten
dc.title都市公園空間分布型態對降溫效益影響之研究zh_TW
dc.titleThe influence of spatial arrangement of urban parks on local temperature reductionen
dc.typeThesis
dc.date.schoolyear103-2
dc.description.degree碩士
dc.contributor.oralexamcommittee歐聖榮,林晏州,張俊彥,鄭佳昆
dc.subject.keyword都市熱島,都市公園,空間分布型態,數值模擬,ENVI-met,zh_TW
dc.subject.keywordUrban Heat Island,Urban park,Spatial arrangement,Numerical simulation,ENVI-met,en
dc.relation.page106
dc.rights.note有償授權
dc.date.accepted2015-08-18
dc.contributor.author-college生物資源暨農學院zh_TW
dc.contributor.author-dept園藝暨景觀學系zh_TW
Appears in Collections:園藝暨景觀學系

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