基于UCL微气候改善的寒地城市住区公共开放空间优化及控制规划技术研究

项目名称： 基于UCL微气候改善的寒地城市住区公共开放空间优化及控制规划技术研究

项目编号： No.51278140

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 建筑科学

项目作者： 冷红

作者单位： 哈尔滨工业大学

项目金额： 80万元

中文摘要： 大规模、高强度的开发建设和更新改造引发UCL微气候环境质量恶化的现象在严寒地区高密度人口聚居的城市日渐突出，导致本身就处于不利宏观地域气候环境中的城市公共空间环境质量下降，户外舒适度降低、舒适时间缩短的同时也极大地影响城市公共活力的提升和社会经济活动的开展。课题以哈尔滨为例，对城市住区既有开放空间进行调查、分类，选择样本开放空间进行数据采集和现场观测，对开放空间UCL微气候环境进行评价，结合CFD环境模拟及GIS分析技术，分析自然环境和建成环境要素等规划设计要素与微气候环境因子间的关联度，明确影响微气候环境的主导规划设计要素，进一步开展主导要素与微气候环境改善幅度的相关性分析，结合现状有针对性地提出严寒地区城市住区层面既有开放空间优化及新建开放空间控制规划技术体系。研究旨在为严寒地区城市开放空间环境质量的提升和优化提供技术支撑，为城市制订开放空间地方性规划管理技术规定和实施导则提供指导。

中文关键词： 严寒地区；；住区公共开放空间；；微气候环境；；优化及控制规划；；过渡季节；

英文摘要： Large-scale development together with high-intensity construction and renewal lead to the phenomenon of deterioration of environmental quality of urban canopy layer (UCL) microclimate, which has become increasingly prominent in many winter cities with high density population in severe cold regions. As a result, urban public space, which is in the adverse macro-regional climates, faces the problems of environmental quality declining. Besides, urban public vitality and social-economic activities are also greatly affected by reduction of outdoor comfort and outdoor active time. This research intends to carry out data collection and field observations on the sample public open spaces selected from investigation and classification of the existing public open spaces in urban residential districts in Harbin to evaluate the UCL microclimate. Combined with the CFD environment simulation and GIS analysis techniques, the gray relational grade between planning and design elements of the natural and built environment and micro-climate environmental factors will be analyzed to make clear of key planning and design elements affecting the micro-climate environment. Furthermore, the correlation of key planning and design elements and improvement range of micro-climate environment will be analyzed. Then the planning and design te

英文关键词： Severely cold region；；Residential district open public spaces；；Microclimate environment；；Optimization and control planning；；Marginal season；