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作 者:黄雅杰 汪新[1] HUANG Yajie;WANG Xin(College of Civil Engineering,Guangdong University of Technology,Guangzhou 510006,China)
机构地区:[1]广东工业大学土木与交通工程学院,广东广州510006
出 处:《四川建筑科学研究》2020年第5期95-104,共10页Sichuan Building Science
基 金:国家自然科学基金(51378128);广东省自然科学基金(2015A030313498)。
摘 要:室外温度的预测在湿热城市气候适应性设计中起到至关重要的作用。从城市表面能量平衡方程所对应的物理过程出发,本文首先确定了各物理过程所对应的参数化控制因素,然后采用一阶近似的方法得出以各控制因素表达的线性化温度预测模式,模式常数由27组正交试验工况的模拟数据进行统计回归分析确定,最终得出了小区日间室外平均最大温度的预测模式。通过对比实测结果证明了该预测模式有良好的精度,可用于湿热城市住宅小区气候适应性设计。The prediction of outdoor temperature plays a crucial role in the climate adaptive design in hot and humid cities.Firstly,the parameterized control factors corresponding to each physical process were extracted out by analysis of the energy balance equation of urban surface.Then,the first-order approximation was used to obtain the linearized temperature prediction mode expressed by control factors,in which the model constants were determined by statistical regression analysis of the simulation data of 27 orthogonal test conditions.Finally,the mean maximum temperature prediction mode during the day was obtained.In comparison to the mearsured results,the prediction model is of good precision and can be used in the climate adaptive design of residential districts in hot and humid cities.
分 类 号:TU984.12[建筑科学—城市规划与设计]
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