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The effect of weather patterns on winter small city urban heat islands

机译:天气模式在冬季小城市城市热岛的影响

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The urban heat island (UHI) phenomenon has been gaining intensity because of population growth, continuous urbanization and inappropriate urban planning and design. Geospatial models can importantly contribute to solving the negative impacts left behind by these developments in the urban environment. Here, the influence of different weather patterns (anticyclonic, cyclonic and advective), occurring as a consequence of regional synoptic conditions, on UHI intensity and morphology was studied. The previously published geographically weighted regression UHI model was used in order to predict the behaviour of the urban-rural temperature anomaly in different weather patterns in a small city named Ljutomer (8 km(2) of built-up area occupied by 3,500 inhabitants) located in the northeast part of Slovenia. As expected, UHI intensity was significantly higher in the anticyclonic weather pattern compared to cyclonic and advective conditions. The urban-rural temperature contrast was at least recognizable under a turbulent windy atmosphere. Surprisingly, Ljutomer's UHI can be most accurately modelled in the cyclonic weather pattern, followed by advective and anticyclonic conditions, and statistically significant cold-spots can be better predicted, with selected predictor variables, than hot-spots.
机译:城市热岛(UHI)现象由于人口增长,连续城市化和城市规划和设计而受到强度。地理空间模型可以重要地有助于解决城市环境中这些发展留下的负面影响。这里,研究了不同天气模式(反疾病,旋风和平流)的影响,因为研究了区域概要条件的uHI强度和形态。使用先前发表的地理加权回归UHI模型是为了预测一个名叫Ljutomer的不同天气模式的城乡温度异常的行为(8公里(2)个占用3,500居民占用的建筑面积)在斯洛文尼亚东北部。正如预期的那样,与旋风气象模式相比,UHI强度明显高于旋风和平静的条件。城市农村温度对比至少在动荡的刮风气氛下识别。令人惊讶的是,Ljutomer的UHI可以在旋风天气模式中最精确地建模,然后是前进程和反气旋条件,并且可以更好地预测统计学上显着的冷斑,具有比热点的选定预测变量。

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