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基于空间自相关的兰州市热环境

王鹏龙1**,张建明2,吕荣芳2   

  1. 1中国科学院国家科学图书馆兰州分馆/中国科学院资源环境科学信息中心, 兰州 730000; 2兰州大学资源环境学院, 兰州 730000)
  • 出版日期:2014-04-10 发布日期:2014-04-10

Urban thermal environment pattern with spatial autocorrelation in Lanzhou.

WANG Peng-long1**, ZHANG Jian-ming2, LU Rong-fang2   

  1. (1Lanzhou Branch of the National Science Library/Scientific Information Center for Resources and Environment, Chinese Academy of Sciences, Lanzhou 730000, China; 2College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)
  • Online:2014-04-10 Published:2014-04-10

摘要:

基于Landsat-8 OLI/TIRS数据,计算得到亮度温度热场,采用空间自相关方法分析了河谷型城市兰州市热环境的空间分布与内部结构。结果表明:兰州城市热环境的高温中心主要集中在4个主城区的工商业集中和人口密集区域,黄河及两岸的绿化带形成了一条贯穿城区的相对低温通道;波段10的热场能更好地突出高温中心和低温区域,同一土地利用类型的亮度温度分布更为集中,有利于城市热环境的分析;城市亮度温度热场具有高度的空间自相关性;相比较而言,波段10的亮度温度热场空间依赖性更好;在同等分辨率尺度下,城市热环境研究的采样间隔尺度可以确定为1 km;局部空间自相关能很好描述城市热环境内部关联模式,同时有效监测城市热环境的空间异常值区域,为城市生态规划提供依据。

 

关键词: 海洋产业生态化, 产业结构生态化, 生产方式生态化, 产业组织生态化, 决策试行与评价实验室(DEMATEL), 技术创新生态化

Abstract: Based on the Landsat-8 OLI/TIRS image, atsatellite brightness temperature was retrieved, and the spatial and internal patterns of urban thermal environment were analyzed with spatial autocorrelation in Lanzhou, a valley flat typed City. The results showed that the high temperature spots were mainly focused on the areas with intensive industry, commerce and population. The Yellow River and the afforesting belts along both sides of the river formed a relatively low temperature channel across the urban areas. The spatial pattern of brightness temperature retrieved from TIRS band 10 could better differentiate high or low temperature spots than from TIRS band 11. Meanwhile, band10based brightness temperature of the same land use/cover type was more concentrated, hence, more helpful to analyze the urban thermal environment. The spatial pattern of brightness temperature in Lanzhou was of significant autocorrelation. The band10based brightness temperature pattern had better spatial dependence. Given the same resolution to the TIRS, 1 km sampling interval could be used to study the urban thermal environment pattern. Local spatial autocorrelation could characterize the internal pattern of urban thermal environment, and monitoring the abnormal value spots could provide a sound background to ecological planning.

Key words: industrial structure ecologization, production mode ecologization, technological innovation ecologization., industrial organization ecologization, marine industrial ecologization, decision making trial and evaluation laboratory (DEMATEL)