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Effects of greenery enhancements for the resilience to heat waves: A comparison of analysis performed through mesoscale (WRF) and microscale (Envi-met) modeling

机译:绿化增强对热波弹性的影响:通过Messcale(WRF)和微观(Envi-Met)建模进行分析的比较

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Given the large transformation and fast-growing population that the Greater Toronto Area (GTA) is facing, and the increasing impact of climate change in urbanized areas, it is crucial to investigate strategies that could mitigate the effects of heat waves. In this paper, the effects of greenery enhancements are investigated using mesoscale and microscale simulations performed by the Weather Research and Forecasting model and the ENVI-met model, respectively. In particular, two vulnerable areas located in the GTA are investigated. Comparing the results of simulations with measurements show the differences in how mesoscale and microscale models predict the meteorological processes happening within the urban canopy and the local climate. Then, two mitigation scenarios, a moderate green scenario (MGS) and an intensive green scenario (IGS) are assessed considering different increases in the vegetation area. The results of the mesoscale simulations show that by increasing the greenery canopy, the maximum daily air temperature decreases by 1.6 to 2.3 °C, while the relative humidity increases by 10% to 12%. The microscale simulations show that increasing the tree canopy would cool the air temperature by 0.5 °C to 1.4 °C locally. Overall, depending on wind conditions and the arrangement of buildings and existing green areas, the cooling effect is shown to have an impact on up to 250 m downwind from the new green area locations. Finally, this study demonstrates that both mesoscale (WRF) and microscale (ENVI-met) modeling confirm similar results in how greenery enhancements may improve the human thermal comfort in the continental climate of the GTA.
机译:鉴于大多伦地区(GTA)面临的大规模转型和快速增长的人口,以及城市化区域的气候变化的影响越来越大,对调查能够减轻热浪影响的策略至关重要。在本文中,使用由天气研究和预测模型和envi-Met模型进行的Mescrose和Micross仿真研究了绿化增强的影响。特别地,研究了位于GTA中的两个易受攻击的区域。比较测量的模拟结果表明,Mesoscale和Micsoscale模型如何预测城市树冠内发生的气象过程以及当地气候的差异。然后,考虑植被区域的不同增加,评估了两个缓解场景,适度的绿色情景(MGS)和强烈的绿色情景(IGS)。 Messcale模拟的结果表明,通过增加绿叶冠层,最大每日空气温度降低1.6至2.3°C,而相对湿度增加10%至12%。微尺度模拟表明,在本地增加树冠的空气温度将将空气温度降至1.4°C。总体而言,根据风条件和建筑物的排列和现有的绿地区域,散热效果显示出在新的绿地位置沿着高达250米的冲击。最后,本研究表明,Messcale(WRF)和微尺寸(Envi-Met)建模均确认了与GTA的大陆气候中的人类热舒适程度有多类似的结果。

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