人为热对城市冬季降水的影响  

Impacts of anthropogenic heat on urban winter precipitation

作　　者：邢月 刘家辉 倪广恒[1] XING Yue;LIU Jiahui;NI Guangheng(State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]清华大学水沙科学与水利水电工程国家重点实验室,北京100084

出　　处：《清华大学学报（自然科学版）》2023年第12期1909-1923,共15页Journal of Tsinghua University(Science and Technology)

基　　金：国家重点研发计划(2018YFA0606002)。

摘　　要：城市人为热在冬季的气候效应比夏季更为显著,该文通过气象研究与预报(WRF)模型内置人为热揭示了人为热对城市冬季水热环境的影响机制,进一步利用大尺度城市能(LUCY)模型计算得到了北京地区高时空分辨率的人为热数据,将其耦合到WRF模型中,研究了北京地区人为热对降雪的影响,并与已有关于人为热对夏季降雨影响的研究结论进行对比分析,指出了人为热对夏季及冬季降水影响的不同之处。结果表明,人为热增加对冬季气温的影响幅度无明显阈值,但在空间的影响高度上存在阈值。人为热对夏季和冬季降水的影响机制不同,对夏季降水的影响范围和量级较大,影响机制较为复杂,而对冬季降水的影响主要集中在城市内部,主要影响降水相态。[Objective] Anthropogenic heat is a crucial feature of urbanization and human activities. Large amounts of anthropogenic heat emissions can affect the regional land-atmosphere process and exacerbate the local climate change in cities. In winter, the anthropogenic heat emissions caused by central heating increase significantly in the North China, thereby enhancing the urban heat effect. The urban heat effect may have a substantial impact on winter snowfall. Therefore, studying the impact of anthropogenic heat on urban winter precipitation can help improve our understanding of the impact of urbanization and human activities on urban precipitation. [Methods] Here, the weather research and forecasting(WRF) model was used to analyze the impact of anthropogenic heat on urban winter precipitation by simulating a winter precipitation event in Beijing. To study the impact mechanism of anthropogenic heat on the urban water and thermal environment in winter and the possible threshold, sensitivity experiments were conducted using the default anthropogenic heat built in the WRF, which is an ideal experiment to explore the possible threshold of anthropogenic heat magnitude. By setting built-in anthropogenic heat values of different intensities, the impact mechanism and intensity threshold of different anthropogenic heat intensities on urban water and thermal environment in winter were compared and analyzed. Based on the conclusion of the sensitivity experiment, anthropogenic heat with high spatiotemporal resolution calculated using the large-scale urban consumption of energy(LUCY) model in Beijing was used as the input data for WRF. The WRF-LUCY coupling model was applied to investigate the impact of anthropogenic heat on winter precipitation in Beijing. By setting up simulated scenarios with and without anthropogenic heat, the impact of anthropogenic heat on winter precipitation was compared and analyzed. Furthermore, the results of the WRF-LUCY coupling model were compared with the existing effects of anthropogenic heat on s

关 键 词：人为热 城市降水 冬季降水 

分 类 号：P49[天文地球—大气科学及气象学]