Analysis of Thermal Environment in a Street Canyon Using Thermal Images

大多数针对城市气候模拟的研究都是基于这样的考虑，即城市冠层可以假设为粗糙度，因此，很难获得合适的城市冠层热量平衡。这个问题导致了我的论文，这是重点调查所有城市表面使用一个新的指标，可以评估城市热环境在城市发展规划。利用遥感和GIS数据对所有城市表面的实际情况进行了调查，验证了采用该指数的效果。1）提出了一种基于感热通量的城市热岛势指数，用以表征城市中各类区域的热特征，即城市中各类区域的热强度、城市中各类区域的热辐射强度等。空间形式和材料。建立一个用于进行热平衡模拟的粒子系统所需的最佳网格尺度被发现是1米。2）一个实用的，基于计算机性能的方法，用于预测所有城市表面的表面温度分布。在假设环境表面温度分布与空气温度相等的条件下，模拟了各粒子系统的热平衡。基于提供所有城市表面的温度分布的结果，模拟来自周围环境的长波辐射，使得每个粒子系统的热平衡可以再次模拟，该反馈系统在两次迭代后被优化。通过计算结果与实际地表温度分布的对比，验证了基于GIS数据的算法的有效性。

Most studies directed at simulating an urban climate have been based on the consideration that an urban canopy layr can be assumed roughness, and therefore, obtaining a suitable heat balance for an urban canopy layr has been difficult. This problem led to my thesis, which is focused on investigating all urban surfaces using a new index that can evaluate an urban thermal environment during urban development planning. The effects of employing the index are verified using remote sensing and GIS data to investigate the actual conditions of all urban surfaces. In addition, a heat balance algorithm is developed which can simulate these surfaces such that urban thermal images can be constructed.1)A new index based on sensible heat flux, called "heat island potential(HIP)", was defined to express the thermal characteristics of each type of region contained in an urban area, i.c., spatial forms and materials. The optimum mesh scale required to set up an system of particles used to perform the heat balance simulation was found to be 1 m.2)A practical, computer-performance-based method was developed for predicting the surface temperature distributions of all urban surfaces. On the assumption that the surface temperature distributions of surroundings is equal to air temperature, the heat balance of each particle system was simulated. Based on results providing the temperature distribution of all urban surfaces, the long wave radiation from the surroundings was simulated such that the heat balance of each particle system could be simulated again, with this feedback system being optivized after two iterations. The effectiveness of the algorithm developed based on GIS data was verified by comparing calculated results with actual surface temperature distributions observed by remote sensing.