首页|城市规划中绿化布局对区域气象环境影响的数值试验研究

城市规划中绿化布局对区域气象环境影响的数值试验研究

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城市的植被覆盖对城市区域的气象环境有重要影响.为了探讨利用区域边界层气象模式来研究这种影响的可行性,本文以北京为例,采用北京地区目前的城市规划资料以及拟议中的绿化方案,初步模拟分析了不同绿化带布局对北京市冬夏气象环境的影响,并进行了讨论.同时对地气相互作用过程中的各种地面通量进行一些定量分析,以研究其对气象环境的影响.通过本文工作发现,所用区域边界模式能够较细致地模拟出城市规划中绿化布局对区域气象环境的影响.结果表明:绿化林和绿化草地的增加会导致地面风速减小,一般减小0.5m/s;在冬天算例中,北部绿化林和绿化草地会造成白天轻微增温,夜间微弱降温,幅度约为0.5~1℃,东南面绿化带对市区内气象环境影响不大;在夏天算例中,北部绿化林使气温降低,最大幅度约为2℃,东南面绿化林降低北京市区南部的气温,有利于缓解北京夏季的高温灾害.
Simulation of greenbelts effect on meteorological environment in urban planning
The vegetation types have great effect on urban meteorological environment. We aim to investigate the feasibility to study this effect using a regional boundary layer model. Beijing is taken as an example. We simulate how the greenbelts and their types affect the meterological environment in Beijing in winter and summer with the city design data and the afforesting plans which are in discussion. The interactions of the surface-atmosphere processes are ananlyzed to investigate the effects on the meterological environment of the changes of surface flux. It shows that the regional boundary layer model can simulate the effect of greenbelt on urban meteorological environment well. The simulated results show that both the increase of forests and the increase of lawn can reduce the surface wind speed about 0.5m/s; in winter, the increase of forests or lawn in the north of Beijing leads to a temperature increase in daytime and decrease in night of 0.5 ~ 1℃, the effect of greenbelt in southeast of Beijing is little; in summer the increase of forests and lawn in the north of Beijing leads to a tempearature decrease less than 2℃ and can weaken the high temperature in Beijing in daytime.

Urban meteorological environmentUrban planningGreenbelt planningNumerical simulationSurface flux

陈燕、蒋维楣、徐敏、王晓云

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南京大学大气科学系,南京,210093

中国科学院大气物理与大气化学国家重点实验室,北京,100029

北京市气象局,北京,100089

城市气象环境 城市规划 绿化布局 数值模拟 地面通量

国家自然科学基金

40333027LAPC-KF-2004-07

2005

地球物理学报
中国地球物理学会 中国科学院地质与地球物理研究所

地球物理学报

CSCD北大核心
影响因子:3.703
ISSN:0001-5733
年,卷(期):2005.48(2)
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