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作 者:闫幼锋[1] 邵国樑 Yan Youfeng;Shao Guoliang
机构地区:[1]兰州理工大学设计艺术学院
出 处:《城市建筑》2024年第14期179-183,共5页Urbanism and Architecture
摘 要:伴随国民经济水平的提高,室外的热舒适水平逐渐受到民众的广泛关注。尤其是在经济发达的华东地区,人口密集,夏季的炎热气候严重影响了民众在室外空间的热舒适与体验。已有研究表明,在一些地区,基于当地调研数据建立的经验指标模型能够更好地预测当地民众的室外热舒适状况。因此,文章对华东地区代表性城市金华市展开微气候环境测量与问卷调查,利用统计学方法多元回归对调研数据进行分析,最终建立经验指标模型并验证其适用性。研究结果表明,在回归分析得出的三个模型中,选取拟合度最优的模型为经验指标模型,具体公式为:TSV_(model)=0.228T_(a)-0.211V+0.201T_(g)-13.947(R^(2)=0.715,P<0.001)。所得经验指标模型为夏季华东地区基于室外热舒适的空间优化设计研究提供了评价指标选择的参考。With the improvement of the national economic level,the level of outdoor thermal comfort has gradually received widespread attention from the public.Especially in the economically developed East China region,where the population is dense,the hot summer climate seriously affects the thermal comfort and experience of people in outdoor spaces.Previous studies have shown that in some regions,empirical indicator models based on local research data can better predict the outdoor thermal comfort of local residents.Therefore,this paper conducted microclimate environmental measurement and question nairesurvey on Jinhua City,arepresentative city in East China.Statistical methods were used to analyze the survey data through multiple regression,and an empirical indicator model was ultimately established and its applicability was verified.The research results indicate that among the three models obtained from regression analysis,the empirical indicator model with the best fit is selected,which is TSV_(model)=0.228T_(a)-0.211V+0.201T_(g)-13.947 (R^(2)=0.715,P<0.001).The obtained empirical indicator model provides a reference for the selection of evaluation indicators for the study on outdoor thermal comfort based on spatial optimization design in East China in summer.
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