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| 基于自然区块的城市热环境空间分异性研究 | |
| 引用本文： | 杨智威,陈颖彪,吴志峰,千庆兰,黄清瑶.基于自然区块的城市热环境空间分异性研究[J].地理科学进展,2019,38(12):1944-1956. |
| 作者姓名： | 杨智威 陈颖彪 吴志峰 千庆兰 黄清瑶 |
| 作者单位： | 广州大学地理科学学院,广州 510006 广东省地理国情监测与综合分析工程技术研究中心,广州 510006 |
| 基金项目： | 广东省自然科学基金项目(2016A030313551);国家自然科学基金项目(41671430);国家自然科学基金项目(41771127) |
| 摘 要： | 通过有效解决建设用地子类划分,实现定量评价城市热环境的空间分异性,对改善城市生态环境、实现城市化的健康发展具有重要的意义和科学价值。论文以广州市为例,参考自然城市的概念,基于5类兴趣点(Point Of Interest,POI)开放数据,结合城市建设用地分类标准,构建5类自然区块;在Landsat 8遥感影像地表温度反演的基础上,计算分析自然区块下地表热场等级分布格局、热场平均值及热环境足迹范围,以对城市热环境空间分异性进行评价。研究表明：① 自然区块的构建,能准确地反映各类POI数据空间分布情况,能够实现对建设用地子类型的划分;② 5类自然区块内部地表热场等级均以高温像元为主,但等级分布具有显著差异。同时,自然区块的热场平均值由高到低的排序为：工业区块>商业服务业区块>交通与道路区块>居住区块>公共管理与服务区块;③ 自然区块形成的高温集聚区,存在热量扩散现象,实际影响范围大于其物理边界,5类自然区块的热环境足迹范围具有分异性。热环境足迹影响范围由大到小排序为：工业区块>商业服务业区块>居住区块>道路与交通区块>公共管理与服务区块。研究结果可为微观尺度上分析城市热环境、改善城市生态环境、实现城市化的健康发展提供科学依据。 |
| 关 键 词： | POI 自然区块 热环境 空间分异 广州 |
| 收稿时间： | 2019-02-18 |
| 修稿时间： | 2019-03-11 |
Spatial variability of urban thermal environment based on natural blocks |
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| YANG Zhiwei,CHEN Yingbiao,WU Zhifeng,QIAN Qinglan,HUANG Qingyao.Spatial variability of urban thermal environment based on natural blocks[J].Progress in Geography,2019,38(12):1944-1956. | |
| Authors: | YANG Zhiwei CHEN Yingbiao WU Zhifeng QIAN Qinglan HUANG Qingyao |
| Institution: | School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China Guangdong Province Engineering Technology Research Centre for Geographical Conditions Monitoring and Comprehensive Analysis, Guangzhou 510006, China |
| Abstract: | Addressing the issue of subdivision of construction land for quantitative evaluation of spatial variability of urban thermal environment is of great significance for improving the ecological environment of cities and realizing the healthy development of urban areas. In this study, we used Landsat 8 remote sensing imageries to retrieve the surface temperature data of Guangzhou City. Based on the concept of natural city combined with the classification standard of urban construction land, we identified five types of natural blocks based on the open data of point of interest (POI). On this basis, the distribution pattern of land surface heat field levels, thermal field average value of natural blocks, and thermal environment footprint range were calculated and analyzed to evaluate the spatial variability of the urban thermal environment of the city. The results show that: 1) The identification of natural blocks may accurately reflect the spatial distribution of all kinds of POI and realize a meaningful division of the sub-types of construction land. 2) Land surface heat field in the five types of natural blocks was dominated by high temperature pixels (more than 90%), and the distribution range of low temperature pixels is small (less than 1%). But the distribution of the heat field levels was significantly different across the natural blocks. In the residential, road and traffic, and public management and service natural blocks, the proportion of land surface heat field levels was similar; the proportion of mesothermal pixels in the commercial and services natural block was less than half of the above three types of natural blocks. The proportion of high temperature pixels in the industrial natural block was the highest, reaching 99%, and there was no low temperature pixel. The order of thermal field average value of natural blocks from high to low is: industrial natural block > commercial and services natural block > road and traffic natural block > residential natural block > public management and service natural block. 3) Heat diffusion exists in the high temperature agglomeration area formed by natural blocks, and the actual influence range is larger than its physical boundary. The thermal environment footprint range of the five types of natural blocks was different. The thermal environment footprint of industrial natural block was the widest, and the 6th ring buffer zone was still in the scope of impact. While the thermal environment footprint of public management and service natural block only affects the 2nd ring buffer zone, compared with the other four types of natural blocks, the effect of heat diffusion was not significant. The influence range of thermal environment footprint from large to small is: industrial natural block > commercial and services natural block > residential natural block > road and traffic natural block > public management and service natural block. The result of this study may provide some scientific basis for the analysis of urban thermal environment, the improvement of urban ecological environment, and the healthy development of urbanization. |
| Keywords: | point of interest (POI) natural block thermal environment spatial variability Guangzhou City |
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