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清华大学学报(自然科学版)  2020, Vol. 60 Issue (2): 162-170    DOI: 10.16511/j.cnki.qhdxxb.2019.22.040
  水利水电工程 本期目录 | 过刊浏览 | 高级检索 |
基于WRF-LUCY模型的冬季集中供暖对局地气候的影响
黄蓓, 倪广恒
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
Local climate impact of central heating in the winter based on the WRF-LUCY model
HUANG Bei, NI Guangheng
State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China
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摘要 快速的城市化发展通过改变下垫面影响了区域的陆气过程,同时高密度、高强度的人类活动带来大量的人为热排放,加剧了城市局地气候变化。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具有重要的科学价值。该研究在中尺度气象模式(WRF)中考虑人为热估算模型(LUCY),选取北京地区为研究对象,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,并以冬季集中供暖为例分析了大量人为热集中释放对局地气候的影响。结果显示:采用WRF-LUCY模型的模拟结果在各气象要素变化以及城乡环流中均有较为合理的表现;集中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;气温的升高幅度在夜间较大,日间较小。该研究为城市局地气候模拟提供了可靠的工具,为城市能耗规划和环境改善提供了科学依据。
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黄蓓
倪广恒
关键词 城市局地气候冬季集中供暖人为热    
Abstract:Rapid urbanization affects land and atmospheric processes through changes in the underlying surface conditions. At the same time, high-density, high-intensity human activities in urban areas result in large amounts of anthropogenic heat (AH) emissions which impact the local urban climate. Thus, research on the impact of anthropogenic heat on the local urban climate is important for exploring urban land-atmosphere interactions. This study couples weather research and forecasting model (WRF) with the heating results calculated by the large scale urban consumption of energy (LUCY) model. This study analyzes how the high spatial and temporal resolution of the anthropogenic heat emission model used in the WRF model affects the simulation results. The Beijing winter central heating system is used as an example to study the impact of a large anthropogenic heat release on the local climate. The results show that the WRF-LUCY model gives reasonable predictions of the meteorological elements and the urban-rural circulation, that the anthropogenic heat released by the heating causes the air temperature to rapidly increase, and that the temperature rise is greater at night than during the day. This study provides a reliable tool for urban local climate simulations and a scientific basis for urban energy planning and environmental improvement.
Key wordsurban local climate    winter central heating    anthropogenic heat
收稿日期: 2019-05-08      出版日期: 2020-01-15
基金资助:倪广恒,教授,E-mail:ghni@tsinghua.edu.cn
引用本文:   
黄蓓, 倪广恒. 基于WRF-LUCY模型的冬季集中供暖对局地气候的影响[J]. 清华大学学报(自然科学版), 2020, 60(2): 162-170.
HUANG Bei, NI Guangheng. Local climate impact of central heating in the winter based on the WRF-LUCY model. Journal of Tsinghua University(Science and Technology), 2020, 60(2): 162-170.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2019.22.040  或          http://jst.tsinghuajournals.com/CN/Y2020/V60/I2/162
  表1 模拟实验的参数方案设置
  表2 模拟实验方案设置
  图1 (网络版彩图)模拟区域示意图
  图2 (网络版彩图)模拟方案B 1、 B 2的人为热输入示意图
  图3 WRF AH方案和LUCY AH方案下模拟结果与观测结果的Taylor图
  图4 北京城区的显热、潜热、地表温度、2m气温、2m湿度、边界层高度、10m风速的空间平均结果图
  图5 2016年7月16日12点d03区域在WRF AH与LUCY AH场景下10m风速的差值空间分布比较
  图6 (网络版彩图)2016年7月16日12点WRF AH与LUCY AH场景下风速垂向分布图(m·s-1)及其差值比较
  图7 2 0 1 3年1 1月北京供暖前后显热、 地表温度、 2m 气温、1 0m 风速的时间分布
  图8 2 0 1 2年1 1月北京供暖前后显热、 地表温度、 2m 气温、1 0m 风速、 降雨强度的时间分布
  图9 2 0 1 0—2 0 1 3年期间供暖前后每3h气温变化
  图1 0 2 0 1 3年1 1月1 7日2 0点北京在有/无供暖下显热、 地表温度、2m气温、 边界层高度的空间分布差值
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