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Physical and non-physical factors driving urban heat island: Case of Bangkok Metropolitan Administration, Thailand

机译:物理和非物理因素驱动城市热岛:以泰国曼谷市政府为例

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This study is focused on two aspects of the urban heat island (UHI). Firstly, the study is aimed at examining the difference in temperature between zones that are classified into different built areas and other land cover types instead of using the urban and rural classification, which is prevalent in the existing literature. Secondly, we consider the heat-intensity-related physical structure of the city such as the sky view, building coverage, building height, surface albedo, and pervious and impervious surfaces, as well as non-physical factors such as anthropogenic heat, travel demand, electricity consumption, and air pollutant concentration. The local climate zone (LCZ) is used as an approach for characterizing the landscape and physical structure of the study areas. The Bangkok Metropolitan Administration (BMA) is used as the case study and 2016 as the base year for examination. The LCZ is classified using Landsat data and the training areas are created using Google Earth and Google Street View. The heat intensity is studied by deriving the land surface temperature (LST) from the thermal band of the Landsat satellite images of March 3, April 4, and April 12, in 2016, which represent the summer season in Bangkok. The result shows that the industry building areas have the highest mean LST is 32.41 degrees C, while the lowest LST is 28.32 degrees C in areas of water bodies; the temperature difference was approximately 4 degrees C. The factors significantly influencing the warming in the BMA are pervious and impervious surfaces, the building coverage ratio, and the anthropogenic heat flux, while the sky view factor, vehicular traffic, and air pollutant concentration are the weak drivers of UHI.
机译:这项研究集中在城市热岛(UHI)的两个方面。首先,该研究旨在检查被划分为不同建筑区域和其他土地覆盖类型的区域之间的温度差异,而不是使用现有文献中普遍存在的城市和农村分类。其次,我们考虑与城市热强度相关的物理结构,例如天空景观,建筑物覆盖范围,建筑物高度,地表反照率,透水和不透水表面,以及非人为因素,例如人为热量,出行需求,电力消耗和空气污染物浓度。本地气候带(LCZ)被用作表征研究区域的景观和物理结构的一种方法。以曼谷市政府(BMA)为例,以2016年为基准年。使用Landsat数据对LCZ进行分类,并使用Google Earth和Google Street View创建培训区域。通过从代表曼谷夏季的2016年3月3日,4月4日和4月12日的Landsat卫星图像的热带中得出地表温度(LST)来研究热强度。结果表明,在水体区域,工业建筑的平均LST最高,为32.41摄氏度,最低的LST为28.32摄氏度;温度差约为4摄氏度。显着影响BMA中变暖的因素是透水和不透水的表面,建筑物的覆盖率和人为的热通量,而空中视野因素,车辆通行和空气污染物的浓度是UHI的驱动力较弱。

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