摘要
使 用 MODIS 地 表 温 度 夏 季 影 像 , 通 过 均 值 - 标 准 差 法 和 空 间 叠 加 分 析 , 研 究 了 扬 子 江 城 市 群
2000—2017 年城市热岛时空变化 与演变规律特征 。结果表明:扬 子江 城市群热岛效应 逐年增强,
且强热岛主要体现在长江以南的苏州市、无锡市、常州市、南京市 4 个城市;城市群中各个城市的
城市热岛都呈现由主城区向周围扩展的特征,其中,南京市呈现“条带状”分布扩展,苏州市、无锡
市、常州市呈“摊饼状”扩展,其他城市呈“点状”扩展;2000—2009 年扬子江城市群的热岛效应增
强比 2009—2017 年的明显,两个时间段内不同地表温度区像元转化具有相同规律,即无论地表
温度升高或降低,变化主要集中在该温度区附近的两个温度区。其中,由较低温度区转化为较高温
度区的像元主要分布在苏州市、无锡市、常州市 3 个城市,其中苏州市贡献最多。
Abstract
The spatio-temporal variation and the characteristics of evolution law of urban heat
island (UHI) in the Yangtze River urban agglomeration from 2000 to 2017 are
studied with the summer images of MODIS land surface temperature (LST) by
mean-standard deviation method and spatial overlay analysis. The results show that
the UHI effect in the Yangtze River urban agglomeration increases year by year,
and the strong UHI mainly occurs in Suzhou, Wuxi, Changzhou and Nanjing,
which are in the south of the Changjiang River. The UHI of each city in the urban
agglomeration shows the characteristic of expanding from the main urban area to
the surrounding area. Among them, Nanjing shows a “strip-shaped” distribution
expansion mode, Suzhou, Wuxi and Changzhou show a “cake-like” expansion
mode, and other cities show a “dot-like” expansion mode. The enhancement of UHI
effect in the Yangtze River urban agglomeration in the period from 2000 to 2009 is
more obvious than that in the period from 2009 to 2017. The pixel transformation in
different LST regions in the two periods has the same rule, that is,whether LST
increases or decreases,the changes are mainly concentrated between the two
nearest LST classes. Moreover,the pixels transformed from low temperature region
to high temperature region are mainly distributed in Suzhou,Wuxi and
Changzhou,while Suzhou contributes the most.
译
关键词
城市热岛; 地表温度; 时空变化; 遥感技术; MODIS; 扬子江城市群
Keywords
urban heat island; Land surface temperature; spatio-temporal variation; remote
sensing technology; MODIS; the Yangtze River urban agglomeration
译