Department of Urban Planning, Tarbiat Modares University, Nasr, Jalal AleAhmad, Tehran 14115-335, Iran.
Department of Civil Engineering, Ferdowsi University of Mashhad, Azadi Square, Mashhad 9177948974, Iran.
Int J Environ Res Public Health. 2019 Jan 24;16(3):313. doi: 10.3390/ijerph16030313.
In this study, the spatio-temporal changes of urban heat island (UHI) in a mega city located in a semi-arid region and the relationships with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) are appraised using Landsat TM/OLI images with the help of ENVI and ArcGIS software. The results reveal that the relationships between NDBI, NDVI and land surface temperature (LST) varied by year in the study area and they are not suitable indices to study the land surface temperature in arid and semi-arid regions. The study also highlights the importance of weather conditions when appraising the relationship of these indices with land surface temperature. Overall, it can be concluded that LST in arid and steppe regions is most influenced by barren soil. As a result, built-up areas surrounded by soil or bituminous asphalt experience higher land surface temperatures compared to densely built-up areas. Therefore, apart from setting-up more green areas, an effective way to reduce the intensity of UHI in these regions is to develop the use of cool and smart pavements. The experiences from this paper may be of use to cities, many of which are struggling to adapt to a changing climate.
本研究利用 ENVI 和 ArcGIS 软件，借助 Landsat TM/OLI 图像，评估了位于半干旱地区的特大城市的城市热岛（UHI）的时空变化及其与归一化差异植被指数（NDVI）和归一化差异建筑指数（NDBI）的关系。结果表明，在研究区域，NDBI、NDVI 和地表温度（LST）之间的关系随年份而变化，它们不是研究干旱和半干旱地区地表温度的合适指标。该研究还强调了在评估这些指数与地表温度的关系时天气条件的重要性。总体而言，可以得出结论，干旱和草原地区的 LST 主要受贫瘠土壤的影响。因此，与密集建成区相比，由土壤或沥青覆盖的建成区的地表温度更高。因此，除了建立更多的绿地外，减少这些地区 UHI 强度的有效方法是开发使用凉爽和智能的路面。本文的经验可能对许多正在努力适应气候变化的城市有用。
