Urban morphology has an important impact on the outdoor thermal environment; studying the temporal and spatial distribution characteristics of air temperature and its relationship with urban morphology is the prerequisite for improving the outdoor thermal environment in the urban sectors. In July 2016, the study selected five sectors (C1 is a commercial sector, I1 is an industry sector, and R1-R3 are three residential sectors respectively) in the urban area of Wuhan to carry out the mobile measurement, and used ArcGIS tools to visualize the temporal and spatial distribution of air temperature, and then analyzed the correlation between air temperature and four indicators of urban morphology of the five sectors: building density(BD), vegetation coverage(VC), floor area ratio(FAR) and sky view fraction(SVF). The results suggested that: (1) In general, building density and floor area ratio are positively correlated with air temperature, while vegetation coverage and sky view fraction are negatively correlated with air temperature. (2) In the morning and evening hours, the maximum values of the average air temperature appear in the C1 (31.8 °C in the morning) and R1 (36.8 °C in the evening), which have the largest building density (56.4%) and the highest floor area ratio (4.87), respectively. While the lowest average temperature (27 °C in the morning, 31.5 °C in the evening) occurs in the R3 (a water-front residential sector) with a large lake surface and the lowest building density. In the afternoon, the highest air temperature (41.5 °C) and the maximum temperature difference (4.2 °C) both appear in the R3 sector which has a complex urban morphology, with large area lakes, high-density built-up areas and elevated road. (3) The water body has a significant cooling effect on the air temperature. In the R3 sector, the air temperature near the side of the water body is about 4.8 °C higher than the air temperature far from the side of the water body. (4) The relationship between floor area ratio, building density, sky view fraction and air temperature may not be a simple linear correlation, but there is a certain threshold. When they are greater than this threshold, the relationship between those indicators and air temperature will show an opposite trend. Since this phenomenon only occurs in some sectors, more data is needed to verify it.

城市形态对室外热环境有重要影响。研究气温的时空分布特征及其与城市形态的关系，是改善城市室外热环境的前提。2016年7月，研究选择了武汉市区的五个部门（C1为商业部门，I1为工业部门，R1-R3分别为三个居民部门）进行移动测量，并使用ArcGIS工具进行了测量。可视化气温的时空分布，然后分析气温与五个部门的城市形态四个指标之间的相关性：建筑密度（BD），植被覆盖率（VC），建筑面积比（FAR）和天空视图分数（SVF）。结果表明：（1）一般而言，建筑密度和建筑面积比与气温呈正相关，而植被覆盖率和天空视野分数与气温呈负相关。（2）在早晨和傍晚，平均空气温度的最大值出现在建筑物密度最大的C1（早晨31.8°C）和R1（晚上36.8°C）中（56.4％）。 ）和最高建筑面积比（4.87）。最低平均温度（早晨27°C，晚上31.5°C）出现在R3（滨水住宅区）中，湖面很大，建筑物密度最低。下午，最高的气温（41.5°C）和最大的温差（4.2°C）都出现在R3区域，该区域的城市形态复杂，湖泊面积大，高密度建筑区和高架道路。（3）水体对气温有明显的冷却作用。在R3区域，靠近水体一侧的空气温度比远离水体一侧的空气温度高4.8°C。（4）容积率，建筑密度，天空视野率与气温之间的关系可能不是简单的线性关系，而是有一定的阈值。当它们大于此阈值时，这些指标与气温之间的关系将显示相反的趋势。由于此现象仅在某些扇区中发生，因此需要更多数据来进行验证。距离水体侧面较远的气温高8°C。（4）容积率，建筑密度，天空视野率与气温之间的关系可能不是简单的线性关系，而是有一定的阈值。当它们大于此阈值时，这些指标与气温之间的关系将显示相反的趋势。由于此现象仅在某些扇区中发生，因此需要更多数据来进行验证。距离水体侧面较远的气温高8°C。（4）容积率，建筑密度，天空视野率与气温之间的关系可能不是简单的线性关系，而是有一定的阈值。当它们大于此阈值时，这些指标与气温之间的关系将显示相反的趋势。由于此现象仅在某些扇区中发生，因此需要更多数据来进行验证。