摘要
城市热环境是城市生态环境的重要方面。在当前实践中,一般是对规划设计方案在典型气象日条件下的热环境进行模拟,然后根据模拟结果对方案进行优选优化。因此,如何选取典型气象日对于模拟结果有重要影响。针对现行标准所定义的典型气象日的不足,基于主成分分析和聚类分析建立了面向城市热环境的天气分类及典型气象日确定方法。应用该方法对广州6-9月的典型气象年数据进行天气分类和典型气象日的确定,然后基于所确定的典型气象日利用微气候软件ENVI-met对某居住小区的热环境进行了模拟分析。结果表明:(1)所识别的各类天气之间区别明显,每一类天气的特征清晰、天数合理;(2)所确定的典型气象日涵盖了夏季所有天气类型,所包含的气象信息全面、接近实际、代表性强;(3)所确定的典型气象日与城市热环境之间相关度高,从而可帮助规划设计人员科学调整方案。
Urban thermal environment is an important aspect of urban environment.In current practice of urban planning scheme,it in general would be related with the simulation of thermal environments under the meteorological condition of TMDs(typical meteorological days),and then the scheme could be optimized based on the simulation results.Therefore,how to determine the TMDs is of significant impacts on the simulation of thermal environments.In this paper,an approach to classify weather types and to identify TMDs with regard to urban thermal environment was developed according to the principal components analysis and cluster analysis.The proposed approach was applied to weather classification and determining TMDs on the basis of TMY(typical meteorological year)data of Guangzhou City for the period of June to September.Thereafter,the thermal environments of a certain residential community in Guangzhou were simulated using the microclimate software ENVI-met in accordance with the meteorological condition of the identified TMDs.The simulation and analysis showed that there were significant differences in meteorological characteristics among the identified types of weather,and each weather type was clearly characterized meteorologically and a reasonable number of days.The TMDs thus determined covered all the weather types during the summer,with the meteorological information being comprehensive,practical and representative and the TMDs was highly correlated with the simulated thermal environments,which would be helpful for planners and designers in the optimization of urban planning scheme.
作者
杨小山
翁素梅
赵立华
YANG Xiaoshan;WENG Sumei;ZHAO Lihua(School of Architecture,Nanjing Tech University,Nanjing 211816,China;School of Economics&Management,Nanjing Tech University,Nanjing 211816,China;State Key Laboratory of Subtropical Building Science,South China University of Technology,Guangzhou 510640,China)
出处
《环境科学与技术》
CAS
CSCD
北大核心
2019年第1期231-236,共6页
Environmental Science & Technology
基金
江苏省自然科学基金面上项目(BK20161547)
国家自然科学基金青年科学基金项目(51408303)
关键词
城市热环境
天气分类
典型气象日
主成分分析
聚类分析
urban thermal environment
weather-type classification
typical meteorological day
principal components analysis
cluster analysis
