Květoňová Veronika, Pánek Jiří, Geletič Jan, Šimáček Petr, Lehnert Michal
Department of Geography, Faculty of Science, Palacký University Olomouc, Czech Republic.
Department of Development and Environmental Studies, Faculty of Science, Palacký University Olomouc, Czech Republic.
Heliyon. 2024 Aug 10;10(16):e36101. doi: 10.1016/j.heliyon.2024.e36101. eCollection 2024 Aug 30.
Extreme heat in urban areas has a severe impact on urban populations worldwide. In light of the threats posed by climate change, it is clear that more holistic and people-oriented approaches to reducing heat stress in urban areas are needed. From this perspective we aim to identify and compare thermal hotspots and places with favourable thermal conditions, based on three different methods - thermal walk, participatory-based cognitive mapping, and remote sensing in a Central European city. Although major hotspots in large low-rise development zones were identified by all three methods, the overall agreement between on-site thermal sensation votes, cognitive maps and surface temperatures is low. In the urban canyon of compact mid-rise and open mid-rise development, the thermal walk method proved to be useful in the identification of the specific (parts of) streets and public spaces where citizens can expect thermal discomfort and experience heat stress, e.g. crossroads, arterial streets with a lack of greenery, north facing unshaded parts of streets, and streets with inappropriate tree spacing. Cognitive maps on an urban neighbourhood scale are not specific enough on a street level; however, as a supplementary method they can help identify discrepancies between on-site sensations and thermal conditions. For further research on effective and cost-efficient urban heat mitigation, we suggest combining thermal walks with numerical model simulations.
城市地区的极端高温对全球城市人口产生了严重影响。鉴于气候变化带来的威胁,显然需要采取更全面、以人为本的方法来减轻城市地区的热应激。从这个角度出发,我们旨在基于三种不同方法——热步行、基于参与式的认知绘图以及在中欧一个城市进行的遥感,来识别和比较热热点地区以及具有有利热条件的地方。尽管所有三种方法都识别出了大型低层开发区的主要热点,但现场热感觉投票、认知地图和地表温度之间的总体一致性较低。在紧凑的中层和开放的中层开发的城市峡谷中,热步行方法被证明有助于识别公民可能会感到热不适并经历热应激的特定街道(部分)和公共空间,例如十字路口、缺乏绿化的主干道、朝北无遮蔽的街道部分以及树木间距不当的街道。城市邻里尺度的认知地图在街道层面不够具体;然而,作为一种补充方法,它们可以帮助识别现场感觉与热条件之间的差异。为了进一步开展有效且经济高效的城市热缓解研究,我们建议将热步行与数值模型模拟相结合。