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Urban climate change-related effects on extreme heat events in Rostock, Germany

机译:德国罗斯托克城市气候变化对极端高温事件的影响

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The urban heat island effect poses a challenge in several cities, and may affect human and ecosystem health. It was proven that relatively small urban conglomerations in mid-latitudes, such as the case study region of Rostock, have undergone a considerable effect recently, noticeable particularly in the warm season. Due to climatic changes, these effects are expected to alter in intensity and/or frequency. This was investigated using a model that focuses on interactions between land use and surface temperatures and on specific air conditions in cities. The model enables urban surface temperature differences to be projected with regard to different assumptions of (future or planned) land use/land cover and its specific characteristics. In addition, 99th percentile summer days from the period 1961-1990 and scenario runs from regional climate models (RCMs) were used as an example of extreme heat events. The frequency of occurrence of extreme heat events resembling those occurring in the present day will be up to four (2041-2070) and six (2071-2100) times higher, respectively. Furthermore, the average temperature on defined extreme heat days will rise by 1.6 to 3.4 degrees C (2041-2070) and 2.2 to 4.4 degrees C (2071-2100), respectively. The model calculated no significant effects for differences in maximum surface temperatures between land use classes. Some parts of land use change scenarios constructed during scenario workshops in Rostock were integrated into the surface temperature model with regard to climate change adaptation. The results revealed a range of outcomes, from an enlargement of vulnerable areas to the near eradication of climate change-related heat effects in several areas.
机译:城市热岛效应在几个城市带来了挑战,并可能影响人类和生态系统的健康。事实证明,中纬度地区相对较小的城市集团,例如罗斯托克的案例研究区,最近受到了相当大的影响,特别是在暖季。由于气候变化,预计这些影响会改变强度和/或频率。使用一个模型研究了这一问题,该模型关注土地利用与地表温度之间的相互作用以及城市中特定的空气条件。该模型可以根据(未来或计划的)土地利用/土地覆盖的不同假设及其特定特征来预测城市地表温度差异。此外,以1961-1990年夏季的第99个百分位数和区域气候模型(RCM)的情景运行为例,说明了极端高温事件。类似于今天发生的极端高温事件的发生频率,分别会分别高四倍(2041-2070)和六倍(2071-2100)。此外,在定义的极端高温天的平均温度将分别升高1.6到3.4摄氏度(2041-2070)和2.2到4.4摄氏度(2071-2100)。该模型对土地利用类别之间的最高地表温度差异没有显着影响。在罗斯托克情景研讨会期间构建的土地利用变化情景的某些部分已被纳入与气候变化适应有关的地表温度模型中。结果揭示了一系列结果,从脆弱地区的扩大到几乎消除了几个地区与气候变化相关的热效应。

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