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Mitigation of Urban Heat Development by Cool Island Effect of Green Space and Water Body

机译:绿地和水体的冷岛效应缓解城市热力发展

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In order to understand how green space and water body could mitigate urban heat island, a study was carried out to quantitatively evaluate the influence of park/garden and lake characteristics on surrounding air temperatures. Five thousand one hundred and eighty-five air temperature data of the surrounding areas of 6 parks and 3 lakes in Chongqing were collected during the daytime. The data were analyzed using regression analysis of the park and lake characteristics such as area, landscape shape index (LSI), green ratio, altitude, distance to lake body, and canopy comprehensive temperature (CCT). The findings were as follows: (1) the cool island effect of parks with a maximum of 3.6 °C was greater than that of lake with maximum of 2.9 °C, (2) key factors influencing thermal environment of park and lake were respectively due to the park area and CCT, (3) the less LSI or the rounder the shape of the parks and lakes were, the better the improvement effects of parks and lakes on the thermal environment of the surrounding environment, and (4) the statistic model of parks and lakes could effectively predict the cool island intensity (CII) of parks and surrounding air temperature of lakes (SAT) in Chongqing, the R~2 was 0.787 and 0.721, respectively.
机译:为了了解绿色空间和水体如何缓解城市热岛效应,进行了一项研究,定量评估了公园/花园和湖泊的特征对周围空气温度的影响。白天,收集了重庆市6个公园和3个湖泊周边地区的1588.5个气温数据。使用对公园和湖泊特征(例如面积,景观形状指数(LSI),绿化率,海拔高度,到湖泊主体的距离以及冠层综合温度(CCT))的回归分析来分析数据。研究结果如下:(1)最高3.6°C的公园的冷岛效应大于最高2.9°C的湖的冷岛效应,(2)分别影响公园和湖泊热环境的关键因素对于公园面积和CCT,(3)LSI越小或公园和湖泊的形状越圆,公园和湖泊对周围环境热环境的改善效果就越好;(4)统计模型重庆市公园和湖泊的数量可以有效预测重庆市公园的冷岛强度(CII)和湖泊周围空气温度(SAT),R〜2分别为0.787和0.721。

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