Varentsov Mikhail, Vasenev Viacheslav, Dvornikov Yury, Samsonov Timofey, Klimanova Oksana
Research Computing Center, Lomonosov Moscow State University, Moscow, Russia; Hydrometeorological Research Center, Moscow, Russia; Moscow Center for Fundamental and Applied Mathematics, Moscow, Russia.
Smart Urban Nature Laboratory, Agrarian Technological Institute, Peoples Friendship University of Russia (RUDN University), Moscow, Russia; Soil Geography and Landscape Group, Wageningen University, Wageningen, the Netherlands.
Sci Total Environ. 2023 Dec 1;902:165966. doi: 10.1016/j.scitotenv.2023.165966. Epub 2023 Aug 4.
The vulnerability of urban ecosystems to global climate change becomes a key issue in research and political agendas. Urban green infrastructures (UGIs) are widely considered as a nature-based solution to mitigate climate change and adapt to local urban climate anomalies in cities. However, UGI-induced cooling effect depends on the size, location and geometry of green spaces, and such dependencies remain overlooked. This research aimed to investigate the cooling effect of UGIs of different size under extreme conditions of 2021 summer heat wave for the case of Moscow megacity (Russia) using a numerical mesoclimatic model COSMO. UGIs objects were assigned to one of the four size categories (S, M, L and XL) based on their area. Their cooling effects at the local, non-local and city scales were evaluated based on comparison between the model outcomes for the realistic land cover and simulations for which UGI of a particular size category were replaced by the built-up areas typical for their surroundings. The highest cooling effect was observed for XL size UGIs, which reduced the local heat-wave-averaged air temperatures by up to 3.4 °C, whereas for the S size UGIs it did not exceed 2 °C. The cooling effectiveness for XL category was higher than for S category by 23 % inside the green spaces (locally), by 40-90 % in the buffer zones around the green space (non-locally) and by 35 % for the whole city. More effective cooling of large UGIs is partially explained by their stronger park breeze effect, i.e., impact on the airflow increasing the divergence over green spaces. However, when standardized to the population affected by cooling, the M size UGIs made the strongest contribution to the thermal environment where people live and work. The stronger non-local cooling induced by the largest UGI objects cannot compensate for their remoteness from the built environment.
城市生态系统对全球气候变化的脆弱性成为研究和政治议程中的关键问题。城市绿色基础设施(UGIs)被广泛视为一种基于自然的解决方案,以缓解气候变化并适应城市当地的气候异常。然而,UGI引起的降温效果取决于绿地的大小、位置和几何形状,而这种依赖性仍然被忽视。本研究旨在使用数值中尺度气候模型COSMO,针对俄罗斯莫斯科大城市的情况,调查2021年夏季热浪极端条件下不同大小UGIs的降温效果。根据面积将UGI对象分为四个大小类别之一(S、M、L和XL)。基于实际土地覆盖的模型结果与特定大小类别的UGI被其周围典型建成区替代后的模拟结果之间的比较,评估了它们在局部、非局部和城市尺度上的降温效果。观察到XL大小的UGIs降温效果最高,可将局部热浪平均气温降低多达3.4°C,而S大小的UGIs降温效果不超过2°C。XL类别的降温效率在绿地内部(局部)比S类别高23%,在绿地周围的缓冲区(非局部)高40 - 90%,对整个城市而言高35%。大型UGIs更有效的降温部分归因于其更强的公园微风效应,即对气流的影响增加了绿地之上的散度。然而,按受降温影响的人口进行标准化后,M大小的UGIs对人们生活和工作的热环境贡献最大。最大的UGI对象引起的更强的非局部降温无法弥补它们与建成环境的距离。