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首页> 外文期刊>Energy and Buildings >Estimating the characteristics of the Urban Heat Island Effect in Nicosia, Cyprus, using multiyear urban and rural climatic data and analysis
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Estimating the characteristics of the Urban Heat Island Effect in Nicosia, Cyprus, using multiyear urban and rural climatic data and analysis

机译：使用多年城乡气候数据和分析估计塞浦路斯尼科西亚的城市热岛效应特征

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摘要

In order to detect the Urban Heat Island Effect and its consequences on heating and cooling degree days, an analysis of the hourly meteorological measurements during the period 1983-2011 for the city of Nicosia in Cyprus has been conducted. The stations used were located in the City Center (station no.640) and the area of Athalassa (station no. 666) in Nicosia, which are low altitude Mediterranean climatic stations. The temperature change that has been identified on both stations has an impact on heating and cooling degree days. Cooling degree days follow a statistically positive trend for both stations. Heating degree days follow a negative trend for both stations, with the Nicosia City Center station being the only one with a statistically significant trend. Additional cooling degree days have been calculated for the station of Nicosia City Center during the summer period June-August, and less heating degree days during the winter period December-February, in comparison with the Athalassa Area Station, highlighting the existence of the Urban Heat Island Effect. The Urban Heat Island Effect is determined to be stronger during the winter period, mainly in February. Finally, the mean differences, as calculated, in cooling and heating degree days follow a non-statistically significant trend. (C) 2015 Elsevier B.V. All rights reserved.
机译：为了检测城市热岛效应及其对供热和制冷度天数的影响，已对塞浦路斯尼科西亚市1983-2011年期间的每小时气象测量数据进行了分析。所使用的站位于尼科西亚的市中心（站号640）和Athalassa地区（站号666），这是地中海低海拔气候站。在两个站点上都已确定的温度变化会影响加热和冷却天数。两个站的降温天数遵循统计上的积极趋势。两个站的供暖度日均呈负趋势，尼科西亚市中心站是唯一具有统计显着趋势的站。与Athalassa Area Station相比，已计算出6月至8月的夏季尼科西亚市中心站的额外冷却度天数，而12月至2月的冬季中的采暖度天数较少，这突出了城市热的存在岛效应。确定在冬季，主要是在2月，城市热岛效应更强。最后，计算得出的冷却和加热度日的平均差异遵循非统计学显着趋势。 （C）2015 Elsevier B.V.保留所有权利。

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