摘要
屋顶绿化在提升城市绿化率与调节建筑微气候方面具有显著优势,逐渐被广泛应用于城市建设当中,但目前我国对于寒冷地区屋顶绿化冷却效益研究仍缺乏定量的数据支撑。因此文中选取西安市曲江创意谷屋顶绿化作为研究对象,采用实地测试的方法对创意谷五种屋顶植物的直接和间接降温效益进行研究。研究发现针茅草直接降温效果最佳,与硬质铺地地表相比实时温度最大差值可达27.4℃,日均降温效益约18℃;杨树的间接降温效果最佳,温度变化幅度在33~38.5℃。最后基于实测数据,从植物配置方式及多要素协调等方面提出当前屋顶绿化优化策略,以期为当前城市的绿化建设提供科学的数据支撑和方法依据。
Roof greening has significant advantages in improving urban green rate and regulating building microclimate,and has been widely used in urban construction gradually.However,there is still a lack of quantitative data support for researches on cooling benefits of roof greening in cold regions in China.Therefore,this paper chooses roof greening of Qujiang Creative Valley in Xi’an city as the research object,and adopts the method of field measurement to study the direct and indirect cooling benefits of five roof plants.It found that the direct cooling effect of needle thatched was the best,and the temperature difference between it and the hard paved surface was up to 27.4℃,with the average daily cooling benefit of about 18℃.Poplar scene had the best indirect cooling effect,with the temperature varying from 33℃to 38.5℃.Finally,based on the experimental research,the current roof greening optimization strategy is proposed from the aspects of plant configuration and multi-element coordination,in order to provide scientific data support and method basis for the current urban greening construction.
作者
董琪
甄蒙
邹炜晗
DONG Qi;ZHEN Meng;ZOU Weihan(School of Architecture,Harbin Institute of Technology,Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150006,China;Department of Architecture,School of Human Settlements and Civil Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处
《低温建筑技术》
2020年第7期1-4,共4页
Low Temperature Architecture Technology
基金
国家自然科学基金重点项目(51938003)
中国博士后科学基金面上项目(2019M651289)
陕西省自然科学基础研究计划-一般项目(青年)(2019JQ-595)
中央高校基本科研业务费专项资金资助(HIT.NSRIF.2020036)。
关键词
屋顶绿化
寒冷地区
实地测试
降温效益
优化策略
roof greening
cold region
field test
cooling effect
optimizing strategy
