Urban heat island characteristics in London during winter
Urban heat island characteristics in London during winter
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DOI：
10.1016/j.solener.2009.06.007
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发表时间：
2009-09-01
期刊：
影响因子：
6.7
通讯作者：
Kolokotroni, M.
中科院分区：
文献类型：
--
作者：
Giridharan, R.;Kolokotroni, M.
本文介绍了伦敦冬季高峰期城市热岛强度（UHI）的特征。大多数热岛热岛研究集中在夏季的现象，因为这是观测到温度峰值的时期。然而，对于城市规划缓解战略和建筑能源需求设计，还应考虑采暖季节，因为拟议的缓解夏季热岛影响的措施可能在冬季或中间季节产生负面影响。该研究采用为研究夏季热岛指数而开发的方法，通过控制数据集中的气候和地理变化，进行趋势和回归分析[Kolokotroni， M., Giridharan， R., 2008]。伦敦城市热岛强度：物理特性对夏季室外空气温度变化影响的调查。[j].中国科学：地球科学，2011,27(2):487 - 498。研究发现，冬季夜间平均热岛强度与夏季相似，但冬季热岛峰值的变化趋势不像夏季那样规律，初步表明气候和城市参数的影响是不同的。本研究的回归分析使用了六个现场变量，即aspect。，地表反照率，平面密度比，绿色密度比，织物密度比和热质量，在六个数据集上进行影响调查，按伦敦内的三个地理位置和三个天空条件和区域风速进行分类。上述变量不能像夏季模型那样解释室外温度的变化。然而，与夏季不同，冬季气候控制模式的R-2相同，表明室外温度的变化大部分是由气候因子引起的，而不是由现场变量引起的。2009爱思唯尔有限公司版权所有。
This paper presents results characterising the urban heat island intensity (UHI) in London during the peak winter season. Most UHI studies focus on the phenomenon during the summer as this is the period when temperature peaks are observed. However, for urban planning mitigation strategies and building energy demand design, the heating season should be also considered, since proposed measures to alleviate the summer UHI might have a negative effect during the winter or intermediate seasons.The study carries Out trend and regression analysis by controlling climatic and geographical variations in the data set following a methodology developed for studying summer UHI [Kolokotroni, M., Giridharan, R., 2008. Urban heat island intensity in London: an investigation of the impact of physical characteristics on changes in outdoor air temperature during summer. Solar Energy 82, 986-998]. It was found that average nocturnal UHI of winter periods are of similar magnitude to the summer periods but the peak winter UHI trends are not as regular as summer giving a first indication that the effect of climate and urban parameters is different. The regression analysis in this research uses six on-site variables namely aspect. ratio, surface albedo, plan density ratio, green density ratio, fabric density ratio and thermal mass to carry out impact investigation in six data sets, categorised by three geographical location within London and three sky conditions and regional wind velocity. The above variables do not explain the changes in outdoor temperature as Much as they did during summer period models. However, unlike summer, the winter climate control models have the same R-2 indicating that most of changes in outdoor temperature are caused by climate factors and not the on-site variables. (C) 2009 Elsevier Ltd. All rights reserved.