In order to understand the intensity of the heat island in Kaohsiung City 16 temperature and humidity measuring points were set up to collect one-year temperature data The Ordinary Kriging (OK) method is used to calculate the temperature index map and analysis the urban heat island intensity Moreover the temperature estimation formula is generated through the regression model With the rise of urban green energy and the Kaohsiung Green Building Project the study uses LiDAR maps to analyze building roofs creating urban solar panels and green roof potential maps and calculates the power generation efficiency of solar energy lost through the distribution map under the effect of urban heat island The result indicates that the maximum Urban Heat Island intensity in Kaohsiung City during the cool season was 9 3 °C which indicate that the heat dissipation capacity is insufficient in urban area For the power generation efficiency of urban solar panels the temperature reduction factor in summer urban areas is -6 1% while the solar energy in the lower temperature Shou Mountain area can increase the power generation efficiency by 0 7% The increased greening area under the implementation of Kaohsiung's schemes has increased the overall greening ratio of the six administrative districts by 0 2% In the future if the green roof potential map is comprehensively set the urban heat island of Kaohsiung City can be lowered by 1 5 °C This study is based on the recommendations of the six major administrative regions for the Kaohsiung Solar Energy Planning For solar power generation it should focus on improving the green area on roofs and balconies to reduce urban temperature Shou Mountain area is recommended to increase the installation of solar panel due to low temperature environment to achieve the best power generation efficiency In order to avoid over-exploitation the Zhongdu wetland and the Kaohsiung Art Museum will become another high-temperature hot spot in the city in that case erecting solar panels and appropriate greening should be carried out in the future
Date of Award | 2019 |
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Original language | English |
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Supervisor | Tzu-Ping Lin (Supervisor) |
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The establishment and application of smart temperature and environment observation network in Kaohsiung (STONK)
思元, 陳. (Author). 2019
Student thesis: Doctoral Thesis