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Influence of geographical factors and meteorological variables on nocturnal urban-park temperature differences--a case study of summer 1995 in Göteborg, Sweden

机译:地理因素和气象变量对夜间城市公园温度差异的影响-以瑞典哥德堡1995年夏季为例

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ABSTRACT: This study deals with the magnitude of influence of various geographical factors and meteorological variables on the air temperature difference between a park and a built-up area (DeltaTu-p). The statistical analysis focuses on the time of nocturnal maximum DeltaTu-p in summer in Göteborg, Sweden, during May to October 1995. The geographical factors include sky view factor, height above sea level and distance from the park border. The meteorological variables considered include wind, cloud cover and type, global radiation, air temperature, subsurface temperature and humidity. Principal component analysis is used to identify temporal and spatial patterns of the temperature anomaly along a transect across the built-up area and green area. The first principal loading is found to explain 71% of the total variance. It represents a kind of mean pattern and depicts the dominant distribution of the anomaly along the transect, which is interpreted as being created by the differences in surface characteristics. Distance from the park border accounts for 86% of the spatial variation in air temperature. The magnitude of this pattern is mainly modulated by the average wind speed and the average cloud index, i.e. cloud cover and type, from sunset until the time of interest, i.e. 27 and 13% respectively of the variation in DeltaTu-p can be explained by these variables. Subsurface temperature and urban-park vapour pressure difference can explain minor parts of the variation in DeltaTu-p. The wind direction affected both the spatial pattern and the magnitude of DeltaTu-p. The influence on magnitude under different wind directions was probably caused by the difference in relative sizes between the warm built-up area and the colder park and suburban area.>
机译:摘要:这项研究研究了各种地理因素和气象变量对公园与建成区之间的气温差(Delta T up )的影响程度。统计分析的重点是1995年5月至10月瑞典哥德堡夏季夜间最大Delta T up 的时间。地理因素包括天空视野因子,海拔高度海平面和距公园边界的距离。所考虑的气象变量包括风,云量和类型,整体辐射,气温,地下温度和湿度。主成分分析用于确定整个建成区和绿化区沿样带的温度异常的时空格局。发现第一主要负荷解释了总方差的71%。它代表一种均值模式,并描绘了沿样条线的异常的主要分布,这被解释为是由表面特征的差异造成的。距公园边界的距离占气温空间变化的86%。该模式的幅度主要受从日落到关注时间的平均风速和平均云指数(即云量和类型)的调制,即分别是Delta T 变化的27%和13% up 可以用这些变量来解释。地下温度和城市公园的蒸气压差可以解释Delta T u-p 的微小变化。风向既影响空间格局,又影响Delta T u-p 的大小。

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