利用 ENVI-met 仿真绿化空置房屋对改善热环境的影响:釜山广域市案例研究

IF 2.6 3区 经济学 Q2 ENVIRONMENTAL STUDIES Environment and Planning B: Urban Analytics and City Science Pub Date : 2023-11-28 DOI:10.1177/23998083231217349
Y. Kamata, Jung Eun Kang
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引用次数: 0

摘要

本研究旨在利用 ENVI-met 分析釜山广域市建筑密集的老城区通过绿化长期空置房屋和空地改善室外热环境的情况。考虑到建筑密度和坡度方向,在四个区域构建了四种情景,对夏日进行了模拟。结果表明,与当前情景相比,混凝土情景的热环境最差,平均温度、平均辐射温度(MRT)和生理当量温度(PET)分别上升了 0.04°C、1.49°C 和 0.51°C。相比之下,树木情景的改善最为显著。平均气温、MRT 和 PET 分别下降了 0.03°C、1.66°C 和 0.65°C。此外,拆除密集住宅区的空置房屋改善了通风,PET 在当地下降了约 8°C。在高于被拆除空置房屋的地方植树,可以大大缓解热环境。在热环境最差的南向斜坡住宅区,绿化效果最强。这项研究为在空置房屋的可持续管理中实施绿化这一智能减排策略提供了重要数据。
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Effect of greening vacant houses on improvement in thermal environment using ENVI-met simulation: A case study on Busan metropolitan city
This study aimed to analyze the improvement in outdoor thermal environment by greening of persistently vacant housing and open areas in a densely built old downtown area of Busan Metropolitan City using ENVI-met. Simulation was performed for a summer day by constructing four scenarios for four areas considering the building density and slope direction. The results indicate that compared to the current scenario, the concrete scenario had the worst thermal environment, where the average temperature, mean radiant temperature (MRT), and physiological equivalent temperature (PET) increased by 0.04°C, 1.49°C, and 0.51°C, respectively. In contrast, the tree scenario exhibited the most significant improvement. The average temperature, MRT, and PET decreased by 0.03°C, 1.66°C, and 0.65°C, respectively. Moreover, the removal of vacant houses in dense residential areas improved ventilation, and PET decreased by approximately 8°C locally. Planting trees higher than the demolished vacant houses mitigated the thermal environment considerably. The effect of greening was the strongest in the residential areas located on the south-facing slope with the worst thermal environment. This study provides essential data for implementing greening as a smart reduction strategy in the sustainable management of vacant houses.
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CiteScore
6.10
自引率
11.40%
发文量
159
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