For the study on the local climate effects of green space layout, this paper adopts the GRAPES method, a mesoscale atmospheric simulation model of south China. The simulation experiment was carried out in ArcGIS10.0 and ERDAS9.2 platform which topography and urban land use spatial data had been conversed to GRAPES interface. The test results show that the spatial distribution of urban green space has significant effects on the formation and distribution of urban local wind field, but less impact on that of temperature field. Meanwhile, the circle layers effects of local wind field can be formed between urban green spaces and surrounding built area, which can strengthen the wind speed and air flow,hence is advantageous to the dilution of air pol ution. Therefore, the spatial planning of urban green space shall take into consideration about its influence on urban wind field. Through the layout of the green space, the secondary wind circulation and the local wind wil be stimulated to lower the temperature in the surrounding environment, and improve the micro climate. In conclusion, to improve local climate, the optimization of green space layout means retain and build the large-scale green space as oxygen source on the upwind direction of the city. At the same time, concentrated minimum 70 hectares of green space, instead of scattered in smal er pieces.%为研究城市绿地布局对所在城市区域的局地气候的影响效应，采用华南中尺度区域模式GRAPES大气模拟方法，在ArcGIS10.0和ERDAS9.2平台上进行地形与城市土地利用空间数据的转换，使其接入GRAPES大气模拟界面进行局地气候模拟试验。试验结果表明，城市绿地空间分布对局地风场的形成影响显著，并与其分布紧密相关，城市绿地能够与周围建成区之间形成局地风场的圈层效应，强化周边区域的风速，利于空气污染的稀释。试验结果还表明，城市绿地空间分布对温度场的空间分布影响微弱。据此分析，城市绿地的空间布局规划应当考虑其对城市局地风场形成的影响，通过一定规模面积的绿地布局能够增强城市气流输送，并激发城市中尺度次级环流，进而改善周围环境温度，对局地气候产生积极影响。因此，基于局地气候改善的优化绿地布局方式是保留并建设位于城市上风向的大规模氧源绿地，同时在城市一定范围区域内，集中布局面积不小于70ha的绿地，而非进行点小面广的星星点点式布局。
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