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首页> 外文期刊>Building and Environment >Impact of urban morphology on outdoor air temperature and microclimate optimization strategy base on Pareto optimality in Northeast China
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Impact of urban morphology on outdoor air temperature and microclimate optimization strategy base on Pareto optimality in Northeast China

机译：城市形态对东北地区帕累托最优性的户外空气温度和微气候优化策略的影响

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The urban microclimate is affected by the urban morphology parameters. The objective of this study was to investigate the correlation between air temperature and urban morphology parameters in a cold-climate city in China. Field measurements were performed to record the microclimate parameters at 27 points in a 10 km(2) urban area in Harbin, China. Multilinear regression models were created to investigate the effects of the urban morphology parameters on the outdoor air temperature. Several interesting findings were obtained. First, the degree of influence of urban morphology on temperature was time-dependent and spatial-dependent, and the largest influence was observed in a 100 m radius around the point of interest. Second, an increase in the green plot ratio of 0.5 decreased (increased) the daytime average temperature by 0.8 degrees C (1.3 degrees C) in the summer (winter). For the same street width, a 10 m increase in the building height decreased the daytime temperature by 0.06 degrees C, and for the same building height, a 10 m increase in the street width increased the daytime temperature by 0.17 degrees C in summer. The daytime average temperature was significantly affected by the number of building floors; however, when the building had more than 20 floors, the temperature did not change significantly with the building height. In addition, a multi-objective optimization framework based on Pareto optimality was used to ascertain the optimal urban morphology layout considering the urban microclimate. The optimal wind and thermal environments were achieved at building densities ranging from 20% to 30% and building plot ratios ranging from 3 to 5.
机译：城市微气候受城市形态参数的影响。本研究的目的是探讨中国冷气候中的空气温度和城市形态参数之间的相关性。进行现场测量以在中国哈尔滨10公里（2）个城区的27分，在中国哈尔滨市中心的27分。创建了多线性回归模型，以研究城市形态参数对室外空气温度的影响。获得了几种有趣的结果。首先，城市形态对温度的影响程度是时间依赖性和空间依赖性，并且在兴趣点的100米半径范围内观察到最大的影响。其次，在夏季（冬季）（冬季）增加0.5的绿色曲线比的增加0.5℃（1.3摄氏度）。对于相同的街道宽度，建筑物高度的10米增加将白天温度减少0.06℃，并且对于相同的建筑物高度，街道宽度的10米增加将白天温度增加0.17摄氏度。白天平均气温受到建筑地板数量的显着影响;但是，当建筑物有超过20层时，该温度与建筑高度没有显着变化。此外，考虑城市微气候，采用了基于帕累托最优性的多目标优化框架来确定城市小气候的最佳城市形态布局。最佳风和热环境在建筑密度范围为20％至30％，并建立3至5的曲线比率。

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