Analysis Improvement Strategy of Urban Heat Island Effect by Applying Green Roofs from Satellite Remote Sensing.

• Main Authors: Yu, yu-an, 游于安
• Other Authors: Chen, wei-yea
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/x762us

碩士 === 東海大學 === 環境科學與工程學系 === 105 === In the recent years, the global population keeps growing and also keeps continuous urbanization. So it makes the artificial structures in the city unlimited expand and decrease the original plant. Tons of landscape be changed will increase Urban Heat Island Effect intensely, and put the central city in a long-tern high temperature situation. When the Urban Heat Island Effect sustained impact human’s life, lots of researchers had been try to solve this problem in many different way. But this study is trying to combine the Satellite Remote Sensing technology and Green Roof structure. To establish a quickly method that can applied on reducing Urban Heat Island Effect. Including how to calculate the Land Surface Temperature in Split-Window algorithm, establish a new equation to calculate Land Surface Temperature by landscape distribution, and also using the overlay analysis method to screening improved zone or benefit an cost. According to the result, laying lots of Green Roof in the city has enormous effect to the extreme temperature part. Basis on statistics, the total improved zone area in Taipei is 10.75〖km〗^2, the average temperature difference is 0.28℃, the annual average cost is 22.8 billion. After considering the population and improved effectiveness, this study separate the whole improved zone into 7 kinds of improved cells. Depends on the decrease effectiveness from every one hundred million cost in each improved cells, can summarize their temperature’s price-to-earning ratio, to weigh the cost and benefit. According to this ratio, this study truly establish a strategy that can relieving Urban Heat Island Effect and avoid redundant cost to fits government’s demand. Keywords：Urban Heat Island Effect, Satellite Remote Sensing, Split-Window algorithm, Green Roof.