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基于内容分析法的中国垂直绿化研究进展 被引量:15

Research Progress of Vertical Greening in China by Content Analysis
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摘要 以墙面垂直绿化为研究对象,借助CNKI文献库,以垂直绿化及相关关键词检索文献。运用内容分析法,通过3个维度分析中国垂直绿化整体特征。集中分析2006-2015年文献资料,总结研究进展与研究趋势。研究目前主要探讨垂直绿化植物应用、构建技术、基质选择、灌溉技术等工程问题。植物应用贯穿整个研究过程,但主要关注植物选择,缺乏植物造景研究。新技术研究起步较晚,成果不断增加,但基质选择与灌溉技术的研究水平相对较低。此外,垂直绿化的效益研究逐渐成为热点方向,其实践应用也不断开展。为了完善垂直绿化体系,未来研究应朝学科交叉发展、系统性的理论研究及设计指导方法、景观绩效评价体系的建立3个方面继续深入进行。 Taking wall vertical greening for research object, with the help of CNKI, literature were searched by vertical greening and related keywords. The paper analyses the overall characteristics of Chinese vertical greening by content analysis from 3 aspects. Focused on the analysis of literature from 2006 to 2015, the paper summarizes the research progress and its trends. The research focuses on the vertical greening plant application,construction technology, base material, irrigation technology and other engineering problems. Plant application ran through the whole research process. It focused on plant selection but lack of plant landscape research. The research of new technology started relatively late but the results were increasing, and the research level of base material and irrigation technology was relatively low. In addition, the benefit of vertical greening has gradually become a hot spot, and its practical application is also being carried out. In order to improve the vertical greening system, the future research should be carried out in three aspects: interdisciplinary development, systematic theoretical research and design guidelines, establishment of landscape performance evaluation system.
作者 陈明 戴菲 殷利华 CHEN Ming;DAI Fei;YIN Li-hua(School of Architecture and Urban Planning,Huazhong University of Science and Technology,School of Architecture and Urban Planning,Huazhong University of Science and Technolog)
出处 《风景园林》 2018年第5期104-109,共6页 Landscape Architecture
基金 国家自然科学基金面上项目"桥阴海绵体空间形态及景观绩效研究"(编号51678260) 国家自然科学基金面上项目"消减颗粒物空气污染的城市绿色基础设施多尺度模拟与实测研究"(编号51778254)~~
关键词 风景园林 垂直绿化 内容分析法 研究进展 landscape architecture vertical greening content analysis research progress
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