快速的城市化发展一方面通过改变下垫面影响了区域的陆气过程，城市的几何形态、建筑材料都是导致城市热岛、干岛效应的重要因素；另一方面，城市作为人类聚集地，高密度、高强度的人类活动带来了大量的人为热排放，加剧了城市局地气候的变化。分析人为热及其动态变化对城市局地气候的影响，对探究城市陆气过程及城市环境改善具有重要的科学价值。本文基于人为热估算模型LUCY，针对研究区域北京进行大量的数据更新和修正，得到一套适用于北京地区人为热研究的数据库及参数。该模型得到的人为热结果在时间分布上有较为合理的日内变化、日变化、季节变化及年际变化，可以作为中尺度气候模式WRF的人为热输入，为进一步分析人为热对城市水热环境的影响提供基础数据。本研究进而在WRF模拟中考虑LUCY人为热，一方面，通过这种方式将计算所得的温湿度等气象要素与观测数据进行对比，验证人为热时空分布的合理性；另一方面，对比分析了在WRF中是否考虑高时空精度的人为热带来的差异。结果显示，WRF模型中默认的人为热值偏小，其对显热、温湿度和风速等要素均不能造成明显影响，而WRF-LUCY较好地体现了人为热在其中的影响。采用WRF-LUCY模型的模拟结果在城乡环流、城市边界层和城市降水分布中均有较为合理的表现。因此在分析城市化进程带来的气候影响时，考虑WRF-LUCY模型是很有必要的。进一步的，本研究利用WRF-LUCY分析人为热动态变化对城市局地气候的影响。随着人为热排放量的增长，各气象要素在日间与夜间的变化幅度有较大差别，在热力学和动力学特性上的增长趋势也不相同。以北京冬季集中供暖为例，研究分析大量人为热集中释放对气候环境的影响。结果显示，供暖前后的人为热变化导致空气温度骤增且快速达到新的稳定状态，且气温的升高在夜间幅度较大，日间较小。最后，研究通州新城下垫面变化与人为热排放两方面对城市局地气候的综合影响。研究分别分析了二者对城市水热环境的贡献率，结果显示，人为热对城市气温和降水的影响更为明显，且二者具有协同作用，叠加作用下影响达到最大。在降水期间，通州新城和人为热排放的变化会改变暴雨云团的移动路径，改变城市及其下风向地区的降水分布，且影响时段主要在暴雨峰值过后。

Rapid urbanization development affects the land-atmosphere process through changing the underlying surface, such as the urban geometry and building materials, which are important factors leading to the urban heat island and urban dry island effect. At the same time, the high-density and high-intensity human activities in urban area result in a large amount of anthropogenic heat (AH) emissions, which has an important impact on urban microclimate. Thus, the spatiotemporal distribution of anthropogenic heat in Beijing area was calculated, based on a large scale urban consumption of energy model (LUCY), together with a great many parameter modifications in study area. The results show that the model gives reasonable diurnal cycle of AH, as well as daily, seasonal and interannual variations. Meanwhile, the spatial distribution of AH is consistent with population distribution. Therefore, LUCY could be used as AH input data for the mesoscale numerical weather prediction system WRF (Weather Research and Forecasting Model), for further analysis of the impact of anthropogenic heat on urban hydrothermal environment.This study coupled WRF with the AH results calculated by the LUCY model. On the one hand, the reasonability of the AH value will be evaluated indirectly by comparing the meteorological elements such as temperature, humidity and wind speed between numerical simulation and observation. On the other hand, whether AH with high spatial and temporal resolution is considered in WRF will affect simulation results, and the difference could be analyzed in this way. According to the results, the default AH values in the WRF were underestimated, which could not have a significant impact on sensible heat, temperature, humidity and wind speed. However, the influence of AH on these meteorological elements could be reflected through WRF-LUCY. Meanwhile, the WRF-LUCY effectively corrected the simulation of the urban boundary layer since the AH missions intensified the urban-rural circulation and raised the urban boundary layer. Therefore, it is necessary to consider AH with high spatial and temporal resolution by WRF-LUCY model when analyzing the impact of the urbanization process on urban microclimate.Further, this study analyzed the effects of AH value changes on urban microclimates. The meteorological elements showed a nearly linear increase with the increase of AH value, and the growth rates were quite different between day and night. In addition, taking the central heating in winter as an example, the impact of a sudden increase of AH release on the urban climate environment was analyzed. The results showed that air temperature increases by more than 10 °C within 2 hours, but the temperature increase mainly occurred at night, while the humidity did not change significantly. At the same time, the warming effect will be weakened during precipitation.At last, the study took the construction of Tongzhou New City as an example, and analyzed the impact of urbanization process when considering both the changes of underlying surface and anthropogenic heat emissions. It is found that the impact of anthropogenic heat on Beijing microclimate is far greater than the Tongzhou New City. Therefore, it is not scientific when only considering the change of the underlying surface in urbanization process analysis. During the precipitation period, the change of Tongzhou New Town and anthropogenic heat emissions will change the moving path of storm clouds and change the precipitation distribution of the city as well as its downwind areas, the impact period mainly occurred after the peak of the storm.