Projections of the urban and intra-urban scale thermal effects of climate change in the 21st century for cities in the Carpathian Basin

IF 1.4 Q2 GEOGRAPHY
T. Gál, N. Skarbit, G. Molnár, J. Unger
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引用次数: 5

Abstract

This study evaluates the pattern of a nighttime climate index namely the tropical nights (Tmin ≥ 20ºC) during the 21st century in several different sized cities in the Carpathian Basin. For the modelling, MUKLIMO_3 microclimatic model and the cuboid statistical method were applied. In order to ensure the proper representation of the thermal characteristics of an urban landscape, the Local Climate Zone (LCZ) system was used as landuse information. For this work, LCZ maps were produced using WUDAPT methodology. The climatic input of the model was the Carpatclim dataset for the reference period (1981–2010) and EURO-CORDEX regional model outputs for the future time periods (2021–2050, 2071–2100) and emission scenarios (RCP4.5, RCP8.5). As results show, there would be a remarkable increase in the number of tropical nights along the century, and there is a clearly recognizable increase owing to urban landform. In the near past, the number of the index was 6–10 nights higher in the city core than the rural area where the number of this index was negligible. In the near future this urban-rural trend is the same, however, there is a slight increase (2–5 nights) in the index in city cores. At the end of the century, the results of the two emission scenarios become distinct. In the case of RCP4.5 the urban values are about 15–25 nights, what is less stressful compared to the 30–50 nights according to RCP8.5. The results clearly highlight that the effect of urban climate and climate change would cause serious risk for urban dwellers, therefore it is crucial to perform climate mitigation and adaptation actions on both global and urban scales.
喀尔巴阡山盆地城市21世纪气候变化对城市和城市内部规模热影响的预测
本研究评估了喀尔巴阡盆地几个不同规模城市的夜间气候指数模式,即21世纪的热带夜晚(Tmin≥20ºC)。建模采用MUKLIMO_ 3小气候模型和长方体统计方法。为了确保城市景观的热特征得到正确的表示,当地气候区(LCZ)系统被用作土地利用信息。在这项工作中,使用WUDAPT方法制作了LCZ地图。该模型的气候输入是参考期(1981–2010)的Carpatclim数据集,以及未来时间段(2021–2050、2071–2100)和排放情景(RCP4.5、RCP8.5)的EURO-CORDEX区域模型输出,并且由于城市地形的原因,有明显的可识别的增长。在不久的过去,该指数在城市核心区的数量比该指数在农村地区的数量高出6-10个晚上,而农村地区的该指数数量可以忽略不计。在不久的将来,这种城乡趋势也是一样的,然而,城市核心区的指数略有上升(2-5晚)。在本世纪末,这两种排放情景的结果变得截然不同。在RCP4.5的情况下,城市值约为15-25晚,与RCP8.5的30-50晚相比,压力较小。研究结果清楚地表明,城市气候和气候变化的影响将给城市居民带来严重风险,因此,在全球和城市范围内采取气候缓解和适应行动至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Hungarian Geographical Bulletin
Hungarian Geographical Bulletin Social Sciences-Geography, Planning and Development
CiteScore
3.20
自引率
0.00%
发文量
24
审稿时长
24 weeks
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