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首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Comparison of different methods for the assessment of the urban heat island in Stuttgart, Germany
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Comparison of different methods for the assessment of the urban heat island in Stuttgart, Germany

机译：德国斯图加特市不同城市热岛评估方法的比较

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摘要

This study of the urban heat island (UHI) aims to support planning authorities by going beyond the traditional way of urban heat island studies. Therefore, air temperature as well as the physiologically equivalent temperature (PET) were applied to take into account the effect of the thermal atmosphere on city dwellers. The analysis of the urban heat island phenomenon of Stuttgart, Germany, includes a long-term frequency analysis using data of four urban and one rural meteorological stations. A (high resolution map) of the UHI intensity and PET was created using stepwise multiple linear regression based on data of car traverses as well as spatial data. The mapped conditions were classified according to the long-term frequency analysis. Regarding climate change, the need for adaptation measures as urban greening is obvious. Therefore, a spatial analysis of quantification of two scenarios of a chosen study area was done by the application of a micro-scale model. The nocturnal UHI of Stuttgart is during 15 % stronger than 4K in the city center during summer when daytime heat stress occurs during 40 %. A typical summer condition is mapped using statistical approach to point out the most strained areas in Stuttgart center and west. According to the model results, the increase in number of trees in a chosen area (Olga hospital) can decrease PET by 0.5 K at 22:00 CET but by maximum 27 K at 14:00 CET.
机译：这项关于城市热岛（UHI）的研究旨在通过超越传统的城市热岛研究方法来支持规划机构。因此，考虑到热空气对城市居民的影响，应用了空气温度以及生理等效温度（PET）。对德国斯图加特的城市热岛现象的分析包括使用四个城市和一个农村气象站的数据进行的长期频率分析。基于汽车行驶数据和空间数据，使用逐步多元线性回归创建了UHI强度和PET的（高分辨率图）。根据长期频率分析对映射条件进行分类。关于气候变化，随着城市绿化，采取适应措施的需求显而易见。因此，通过应用微型模型对选定研究区域的两种方案进行量化的空间分析。夏季，斯图加特的夜间UHI比市中心的4K强15％，而白天则有40％的白天出现热应激。使用统计方法绘制了典型的夏季情况，以指出斯图加特市中心和西部最紧张的地区。根据模型结果，选定区域（奥尔加医院）树木数量的增加可以使CET在22:00 CET时减少PET 0.5 K，但在CET 14:00时最大减少27K。

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