基于城区小气候模拟的城市热岛分析

Sergey V. Kornienko, Ekaterina A. Dikareva
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引用次数: 1

摘要

研究表明,发展绿色基础设施是形成城市规划策略以减少城市热岛效应、改善城市生态系统的重要任务。模拟是研究城市规划阶段城市气候形成复杂机制的有效方法。本研究的目的是利用现代模拟工具,考虑到其景观的各种场景,评估与该季度相关的城市热岛的严重程度。通过在ENVI-met软件中进行建模,并对该季度最高温日的热条件进行综合计算,确定了该季度的高热非均质性。最高温度值记录在道路和土壤中,最低温度值记录在绿地中。四分之一的温度条件随时间而变化。城市区域的平均温度超过绿化区域的平均温度意味着可能形成城市热岛。计算表明,该地区大部分地区位于城市热岛区。城市化地区的气温上升也证实了这一点。提出了缓解城市热岛的建议。根据季度的热模拟结果,与原模型相比,最有效的解决方案是草坪草和灌木面积增加10%,树木面积增加12%,路径和场地沥青路面减少5.7%。这样的解决方案最大限度地缓解了城市热岛,并为城市环境提供了高水平的舒适度。进一步的研究将集中于开发一个多因素相关回归模型,以评估通过改善绿色基础设施来缓解城市热岛的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF THE URBAN HEAT ISLAND USING MICROCLIMATE SIMULATION FOR URBAN QUARTER
This study demonstrates that the development of green infrastructure is an important task in the formation of ur-ban planning strategies to reduce the effect of the urban heat island and improve the ecosystem of the city. Simulation is an effective method for studying the complex mechanisms of urban climate formation at the stage of urban planning. The purpose of this study is to assess the severity of the urban heat island in relation to the quarter, taking into ac-count various scenarios of its landscaping, using modern simulation tools. Based on modeling in the ENVI-met soft-ware and computing complex of the thermal conditions of the quarter on the hottest days, its high thermal heterogenei-ty was established. The maximum temperature values are noted in roads and soils, the minimum – in green areas. The temperature conditions of the quarter changes over time. Exceeding the average temperature of the urban quarter ter-ritory over the average temperature in green areas means the possibility of forming an urban heat island. The calcula-tion established that most of the quarter is located in the urban heat island zone. This is also confirmed by an increase in air temperature in an urbanized area. Recommendations are given to mitigate the urban heat island. Based on the results of the thermal simulation of the quarter, it was established that the most effective solution compared to the orig-inal model is an increase in the area of lawn grass and shrubs by 10%, an increase in the area of trees by 12% and a decrease in asphalt pavements of paths and sites by 5.7%. Such a solution maximizes the mitigation of the urban heat island and provides a high level of comfort for the urban environment. Further research will focus on the development of a multi-factor correlation-regression model to assess the mitigation effect of urban heat islands by means of improv-ing green infrastructure.
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