State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai Street, Haidian District, Beijing 100875, PR China.
Environ Pollut. 2013 Jul;178:102-14. doi: 10.1016/j.envpol.2013.03.006. Epub 2013 Apr 1.
This study combines the methods of observation statistics and remote sensing retrieval, using remote sensing information including the urban heat island (UHI) intensity index, the normalized difference vegetation index (NDVI), the normalized difference water index (NDWI), and the difference vegetation index (DVI) to analyze the correlation between the urban heat island effect and the spatial and temporal concentration distributions of atmospheric particulates in Beijing. The analysis establishes (1) a direct correlation between UHI and DVI; (2) an indirect correlation among UHI, NDWI and DVI; and (3) an indirect correlation among UHI, NDVI, and DVI. The results proved the existence of three correlation types with regional and seasonal effects and revealed an interesting correlation between UHI and DVI, that is, if UHI is below 0.1, then DVI increases with the increase in UHI, and vice versa. Also, DVI changes more with UHI in the two middle zones of Beijing.
本研究结合观测统计和遥感反演方法，利用城市热岛（UHI）强度指数、归一化差异植被指数（NDVI）、归一化差异水体指数（NDWI）和差值植被指数（DVI）等遥感信息，分析城市热岛效应与大气颗粒物时空集中分布的相关性。分析结果建立了（1）UHI 与 DVI 之间的直接相关性；（2）UHI、NDWI 和 DVI 之间的间接相关性；以及（3）UHI、NDVI 和 DVI 之间的间接相关性。结果证明了三种具有区域和季节性影响的相关类型的存在，并揭示了 UHI 和 DVI 之间有趣的相关性，即如果 UHI 低于 0.1，则 DVI 随 UHI 的增加而增加，反之亦然。此外，DVI 在北京市的两个中间区域随 UHI 的变化更大。
