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The application of a high-density street-level air temperature observation network (HiSAN): The relationship between air temperature, urban development, and geographic features

机译:高密度街道级气温观测网络(HiSAN)的应用:气温,城市发展与地理特征之间的关系

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The urban heat island effect in cities has become an important problem in relation to not only urban climate but also public health and urban planning. Tainan, which located in Southern Taiwan, is a compact city with intense development. Therefore, this study investigated the urban thermal condition by employing a high-density street-level air temperature observation network (HiSAN). A total of 100 measurement points were set in various urban development areas. The geographic factors in Tainan can be used for indicating the relationship between thermal conditions and urban built environments to comprehensively compare the approaches, such as conducting traverse measurement and utilizing only a single datum or a small amount of weather station data. Buffer zone analysis was used in this study for zones of different sizes, and it was determined that a 300-m scale is optimal to illustrate the effects of land features on microclimate. The results revealed that the thermal condition in Tainan is influenced by urban development factors, such as the floor area and land cover area, and by geographic factors, such as the distance to the sea. A better cooling effect can be obtained from a vegetation area during the night time and from a water body during the daytime. Moreover, different cooling effects are observed based on the distance to the sea. Through these results, a model for predicting the thermal condition for different periods can be established using a multiple regression model. Urban planners and architects can proffer design and planning suggestions for different areas based on the findings of this study to reduce thermal stress in urban areas. (C) 2019 Elsevier B.V. All rights reserved.
机译:城市中的城市热岛效应不仅与城市气候有关,而且与公共卫生和城市规划也已成为一个重要问题。台南位于台湾南部,是一个紧凑,发展迅速的城市。因此,本研究通过采用高密度街道级空气温度观测网络(HiSAN)来研究城市的热状况。在各个城市发展地区共设置了100个测量点。台南的地理因素可用于指示热状况与城市建筑环境之间的关系,以全面比较方法,例如进行导线测量和仅使用单个基准面或少量气象站数据。在这项研究中,对不同大小的区域使用了缓冲区分析,并确定300米的尺度最适合用来说明土地特征对微气候的影响。结果表明,台南的热状况受城市发展因素(如建筑面积和土地覆盖面积)以及地理因素(如距海的距离)的影响。夜间从植被区域和白天从水体可以获得更好的降温效果。此外,根据与大海的距离,观察到了不同的冷却效果。通过这些结果,可以使用多元回归模型建立用于预测不同时期的热状况的模型。城市规划师和建筑师可以根据本研究的结果为不同地区提供设计和规划建议,以减少城市地区的热应力。 (C)2019 Elsevier B.V.保留所有权利。

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