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The Relationship between spatial arrangement and environmental temperature of residential areas in Xi'an

机译:西安市居民区空间布局与环境温度的关系

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摘要

The urban heat island effect problem in Chinese cities is becoming a serious problem. How to reduce urban environmental temperature through urban design is a particularly important consideration. The air temperature in residential areas is a key indicator for evaluating outdoor thermal comfort. The purpose of this paper is to conduct environmental monitoring in residential areas in Xi'an, China. The relationship between air temperature and spatial arrangement patterns of residential areas was investigated. The study team conducted field monitoring in residential areas in Xi'an during the period from April to May 2019. A geographic information system model was established to analyse the data of 20 measuring locations, such as volume ratio, greening rate, sky visual factors and applied a multivariate linear regression equation to establish the relationship between environmental temperature and residential spatial form factors. The results have shown that a 20% increase in greening rate in urban residential areas in summer could have an impact on the environmental temperature of the area. The day-average temperature (Tavg-day), night-average temperature (Tavg-night) and overall average temperature (T-avg) of residential district's outdoor environment were reduced by 0.08 degrees C, 0.15 degrees C and 0.13 degrees C, respectively. The study can provide data support for reducing urban heat island effect and would provide a reference for future plan for cooling of residential areas of the same latitude in different parts of the world.
机译:中国城市的城市热岛效应问题正在成为一个严重的问题。如何通过城市设计降低城市环境温度是一个特别重要的考虑因素。居住区的气温是评估室外热舒适性的关键指标。本文的目的是在中国西安的居民区进行环境监测。研究了气温与居住区空间布局格局之间的关系。研究团队于2019年4月至2019年5月在西安的居民区进行了现场监测。建立了地理信息系统模型,以分析20个测量位置的数据,例如体积比,绿化率,天空视觉因子和运用多元线性回归方程建立环境温度与住宅空间形态因子之间的关系。结果表明,夏季城市居民区的绿化率提高20%可能会影响该地区的环境温度。居住区室外环境的日平均温度(Tavg-day),夜间平均温度(Tavg-night)和整体平均温度(T-avg)分别降低了0.08摄氏度,0.15摄氏度和0.13摄氏度。 。该研究可以为减少城市热岛效应提供数据支持,并为将来在世界不同地区的相同纬度住宅区的降温计划提供参考。

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