Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki 305-8572, Japan.
Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, Ibaraki 305-8572, Japan.
Sci Total Environ. 2017 Jan 15;577:349-359. doi: 10.1016/j.scitotenv.2016.10.195. Epub 2016 Nov 7.
Due to its adverse impacts on urban ecological environment and the overall livability of cities, the urban heat island (UHI) phenomenon has become a major research focus in various interrelated fields, including urban climatology, urban ecology, urban planning, and urban geography. This study sought to examine the relationship between land surface temperature (LST) and the abundance and spatial pattern of impervious surface and green space in the metropolitan areas of Bangkok (Thailand), Jakarta (Indonesia), and Manila (Philippines). Landsat-8 OLI/TIRS data and various geospatial approaches, including urban-rural gradient, multiresolution grid-based, and spatial metrics-based techniques, were used to facilitate the analysis. We found a significant strong correlation between mean LST and the density of impervious surface (positive) and green space (negative) along the urban-rural gradients of the three cities, depicting a typical UHI profile. The correlation of impervious surface density with mean LST tends to increase in larger grids, whereas the correlation of green space density with mean LST tends to increase in smaller grids, indicating a stronger influence of impervious surface and green space on the variability of LST in larger and smaller areas, respectively. The size, shape complexity, and aggregation of the patches of impervious surface and green space also had significant relationships with mean LST, though aggregation had the most consistent strong correlation. On average, the mean LST of impervious surface is about 3°C higher than that of green space, highlighting the important role of green spaces in mitigating UHI effects, an important urban ecosystem service. We recommend that the density and spatial pattern of urban impervious surfaces and green spaces be considered in landscape and urban planning so that urban areas and cities can have healthier and more comfortable living urban environments.
由于城市热岛(UHI)现象对城市生态环境和整体宜居性的不利影响,它已成为城市气候学、城市生态学、城市规划和城市地理学等多个相关领域的主要研究焦点。本研究旨在探讨曼谷(泰国)、雅加达(印度尼西亚)和马尼拉(菲律宾)大都市地区的地表温度(LST)与不透水面和绿地丰度和空间格局之间的关系。使用了 Landsat-8 OLI/TIRS 数据和各种地理空间方法,包括城乡梯度、多分辨率网格和基于空间指标的技术,以促进分析。我们发现,三个城市的城乡梯度上,平均 LST 与不透水面密度(正相关)和绿地密度(负相关)之间存在显著的强相关性,描绘了典型的 UHI 分布。较大网格中不透水面密度与平均 LST 的相关性趋于增加,而较小网格中绿地密度与平均 LST 的相关性趋于增加,这表明不透水面和绿地对较大和较小区域 LST 变异性的影响分别更强。不透水面和绿地斑块的大小、形状复杂性和聚集度也与平均 LST 有显著关系,尽管聚集度具有最一致的强相关性。平均而言,不透水面的平均 LST 比绿地高约 3°C,突出了绿地在缓解 UHI 效应方面的重要作用,这是一项重要的城市生态系统服务。我们建议在景观和城市规划中考虑城市不透水面和绿地的密度和空间格局,以便城市地区和城市拥有更健康和更舒适的居住城市环境。