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山地城市热环境及其聚落特征的关联分析
引用本文:吕志强,庞容,朱金盛,邓睿,申丽萍. 山地城市热环境及其聚落特征的关联分析[J]. 保鲜与加工, 2017, 0(5): 60-71
作者姓名:吕志强  庞容  朱金盛  邓睿  申丽萍
作者单位:重庆工商大学 旅游与国土资源学院, 重庆 400067,重庆工商大学 环境与资源学院, 重庆 400067,重庆工商大学 环境与资源学院, 重庆 400067,重庆工商大学 旅游与国土资源学院, 重庆 400067,重庆工商大学 旅游与国土资源学院, 重庆 400067
基金项目:重庆市社会科学规划培育项目(2014PY63);国家自然科学基金项目(41101155,41301351);重庆市教委科技项目(KJ1400623);教育部人文社科项目(12XJCZH005);重庆市高等学校青年骨干教师资助计划(2011)。
摘    要:以重庆主城区为研究对象,利用Landsat 8传感器OLI和TIRS获取的遥感影像为数据源,进行城市聚落特征包括地形特征、土地利用等与地表温度的差异性分析。结果表明:城市的热环境空间分布差异较大,海拔高度对温度的影响强于地形起伏度;(NDVI、NDBI、MNDWI等)和地表温度的相关关系呈分段线性关系;不同土地利用类型的热强度和热变异程度差异明显,建设用地的温度最高且斑块温度间的变异性最强,虽然水体的平均温度最低,但斑块温度间的变异性却较高;从格网分析的结果可以看出,格网内部水体的“冷岛效应”明显、建设用地的“热岛效应”显著,耕地与自然植被面积的增加使得各空间格网温度更趋向于稳定。

关 键 词:山地城市  聚落特征  地表温度  格网分析  最佳分析尺度
收稿时间:2016-12-02

The correlation analysis of surface thermal environment and settlement characteristics in the hilly city
LYU Zhiqiang,PANG Rong,ZHU Jinsheng,DENG Rui and SHEN Liping. The correlation analysis of surface thermal environment and settlement characteristics in the hilly city[J]. Storage & Process, 2017, 0(5): 60-71
Authors:LYU Zhiqiang  PANG Rong  ZHU Jinsheng  DENG Rui  SHEN Liping
Affiliation:School of Tourism and Land Resources, Chongqing Technology and Business University, Chongqing 400067, P. R. China,School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, P. R. China,School of Environment and Resources, Chongqing Technology and Business University, Chongqing 400067, P. R. China,School of Tourism and Land Resources, Chongqing Technology and Business University, Chongqing 400067, P. R. China and School of Tourism and Land Resources, Chongqing Technology and Business University, Chongqing 400067, P. R. China
Abstract:Taking urban district of Chongqing as the research area, we analyzed the relationship between urban settlement characteristics and the surface temperature by using remote sensing image of Landsat 8 sensor OLI and TIRS as data source. The results show that the spatial distribution of the urban thermal environment is significant different. The elevation plays a much more role in affecting the urban land thermal environment than the topography The correlation between underlying surface parameters and the surface temperature show the piecewise linear relationship. The hot intensity of different land use types and thermal variation are significantly different, and the temperature and its variability of construction land are the highest among different land use types. In addition, the average temperature of water is the lowest, but its temperature variability is the highest. The grid analysis shows the water has obvious Cold Island Effect while the construction land has obvious Heat Island Effect. The increase of cultivated land and natural plant coved land stabilizes the analysis gird unit temperature.
Keywords:hilly city  settlement characteristic  surface temperature  grid analysis  optimum analysis scale
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