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用绿色来冷却灰色:利用高空间分辨率模型来模拟绿色空间的冷却效应。

Using green to cool the grey: Modelling the cooling effect of green spaces with a high spatial resolution.

机构信息

Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.

Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, Portugal.

出版信息

Sci Total Environ. 2020 Jul 1;724:138182. doi: 10.1016/j.scitotenv.2020.138182. Epub 2020 Mar 25.

Abstract

The urban heat island effect creates warmer and drier conditions in urban areas than in their surrounding rural areas. This effect is predicted to be exacerbated in the future, under a climate change scenario. One way to mitigate this effect is to use the urban green infrastructure as a way to promote the cooling island effect. In this study we aimed to model, with a high spatial resolution, how Mediterranean urban parks can be maximized to be used as cooling islands, by answering the following questions: i) which factors influence the cooling effect and when?; ii) what type of green spaces contributes the most to the cooling effect?; iii) what is the cooling distance of influence? To answer these questions we established a sampling design where temperature and relative humidity were measured in different seasons, in locations with contrasting characteristics of green and grey cover. We were able to model the effect of green and grey spaces in the cooling island effect and build high spatial resolution predicting maps for temperature and relative humidity. Our study showed that even green spaces with reduced areas can regulate microclimate, alleviating temperature by 1-3 °C and increasing moisture by 2-8%, on average. Green spaces with a higher density of trees were more efficient in delivering the cooling effect. The morphology, aspect and level of exposure of grey surfaces to the solar radiation were also important features included in the models. Green spaces influenced temperature and relative humidity up to 60 m away from the parks' limits, whereas grey areas influenced in a much lesser range, from 5 m up to 10 m. These models can now be used by citizens and stakeholders for green spaces management and human well-being impact assessment.

摘要

城市热岛效应导致城市地区的温度比其周围的农村地区更高、更干燥。在气候变化情景下,预计这种效应未来会加剧。一种缓解这种效应的方法是利用城市绿色基础设施来促进冷却岛效应。在这项研究中,我们旨在通过回答以下问题,以高空间分辨率模拟地中海城市公园如何最大限度地用作冷却岛:i)哪些因素会影响冷却效果,以及何时影响;ii)哪种类型的绿地对冷却效果的贡献最大;iii)冷却影响的距离是多少?为了回答这些问题,我们建立了一个采样设计,其中在不同季节,在具有不同绿色和灰色覆盖特征的位置测量温度和相对湿度。我们能够模拟绿色和灰色空间对冷却岛效应的影响,并构建高空间分辨率的温度和相对湿度预测图。我们的研究表明,即使是面积较小的绿色空间也可以调节小气候,平均降低温度 1-3°C,增加湿度 2-8%。树木密度较高的绿色空间在提供冷却效果方面效率更高。灰色表面的形态、朝向和对太阳辐射的暴露程度也是模型中包含的重要特征。绿色空间对温度和相对湿度的影响范围可达公园边界外 60 米,而灰色区域的影响范围要小得多,从 5 米到 10 米。这些模型现在可以供市民和利益相关者用于绿色空间管理和人类福祉影响评估。

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