摘要
以大连市中山区的遥感和建筑数据为基础,利用单窗算法和相关分析方法,研究2007年、2017年研究区的地表温度空间分异特征,以及地表温度与建筑高度的相关性。研究结果表明:2007年、2017年研究区最低温度由22.497℃增长到29.015℃,最高温度由36.091℃增长到43.213℃。研究区北部、解放路和中南路沿线、青泥洼-天津街商贸集聚区附近温度明显增高。2007年、2017年,研究区区域内建筑都有所增高,中山区北部和青泥洼-天津街商贸集聚区附近建筑明显增高,研究区建筑有向南蔓延的趋势。2007年、2017年,地表温度与建筑高度呈现低相关性,相关系数分别为0.346、0.331。
Land surface temperature(LST) is one of the most important indicators of the urban thermal environment. The aggravation of urban thermal environment effect is closely related to the substitution of urban underlying surface by impervious layer and urban development. The urban space grows rapidly and the building height increases. The building height is an important index to measure the spatial distribution of buildings in a region. The vertical characteristics of urban buildings are remarkable. This article is based on the Zhongshan District of Dalian city building and remote sensing data, by using the single window algorithm and correlation analysis method, variation of the surface temperature of 2007 and 2017 space in the study area. The correlation between land surface temperature and the height of the building. The results show that: 1) The minimum temperature in the 2007 and 2017 study area increases from 22.497℃ to 29.015℃, and the maximum temperature increases from 36.091℃ to 43.213℃. Owing to the sea reclamation and the establishment of the Donggang Sub-district, the temperature in the northeastern part of the study area increased significantly. The study area in the northern Jiefang Road, and along the south, Qingniwa-Tianjin Street business gathering area near the temperature increases significantly. 2) In 2007 and 2017, the buildings are mostly distributed in the north and central parts of the study area. The buildings in the north of the study area are relatively high, while those in the middle of the study area(along Jiefang Road and Zhongnan Road) are relatively low. The regional construction has increased the north of Zhongshan District and Qingniwa-Tianjin Street business gathering area near the building of district construction has increased significantly, the trend spread south. 3) The data of land surface temperature and building height are divided grid(30 m×30 m) and the correlation analysis of ground surface temperature and building height is carried out by bivariate correlation analysis method. In 2007 and 2017, land surface temperature and building height show low correlation, the correlation coefficients are 0.346 and 0.331,respectively. To a certain degree, the correlation between land surface temperature and building height is discussed.
引文
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