Institute of Bioeconomy (IBE), National Research Council, Florence, Italy; Centre of Bioclimatology (CIBIC), University of Florence, Florence, Italy.
Institute of Bioeconomy (IBE), National Research Council, Florence, Italy.
Sci Total Environ. 2021 Jan 10;751:142334. doi: 10.1016/j.scitotenv.2020.142334. Epub 2020 Sep 10.
Land surface temperature (LST) predictors, such as impervious and vegetated surfaces, strongly influence the urban landscape mosaic, also changing microclimate conditions and exacerbating the surface urban heat island (SUHI) phenomenon. The aim of this study was to investigate the summer daytime SUHI phenomenon and the role played by impervious and tree cover surfaces in the 10 Italian peninsular metropolitan cities. Summer daytime LST values were assessed by using MODIS data referred to the months of June, July and August from 2016 to 2018. High spatial resolution (10 m) of impervious surface and tree cover layers was calculated based on open-data developed by the Italian National Institute for Environmental Protection and Research. A novel informative urban surface landscape layer was developed combining impervious surfaces and tree cover densities and its mapping for metropolitan cities was performed. Summer daytime SUHI rose significantly, increased especially in inland cities, by increasing the size of areas with low tree cover densities in the metropolitan core (or decreasing areas with low tree cover densities outside the metropolitan core), further increasing its intensity when the impervious density grew. A mitigating effect of the sea on daytime LST and SUHI was observed on coastal cities. The most intense SUHI phenomenon was observed in Turin (the largest Italian metropolitan city): for every 10% increase in areas with highly impervious surfaces and low tree cover densities in the metropolitan core, the SUHI significantly (p < 0.001) increased by 4.0 °C. Increased impervious surfaces combined with low tree cover densities represented the main driving process to increase the summer daytime SUHI intensity in most studied cities. These findings are useful to identify summer daytime LST critical areas and to implement the most efficient urban-heat-island mitigation strategies in order to safeguard the vulnerable urban environment and enhance quality of life for the population.
地表温度(LST)预测因子,如不透水面和植被表面,强烈影响城市景观镶嵌体,也改变了微气候条件,加剧了城市热岛(SUHI)现象。本研究旨在调查夏季白天的 SUHI 现象以及不透水面和树木覆盖表面在意大利半岛 10 个大都市区中所起的作用。使用 MODIS 数据评估了 2016 年至 2018 年 6 月、7 月和 8 月的夏季白天 LST 值。不透水面和树木覆盖层的高空间分辨率(10 m)是根据意大利国家环境保护和研究研究所开发的开放数据计算得出的。结合不透水面和树木覆盖密度,开发了一种新的有信息的城市表面景观层,并对大都市区进行了该层的制图。夏季白天的 SUHI 显著上升,尤其是在内陆城市,随着大都市区核心区低树木覆盖密度区的面积增大(或大都市区核心区以外低树木覆盖密度区的面积减少),SUHI 显著增加,当不透水密度增加时,SUHI 强度进一步增加。沿海城市观察到海洋对白天 LST 和 SUHI 的缓解作用。在都灵(意大利最大的大都市区)观察到最强烈的 SUHI 现象:在大都市区核心区不透水面高且树木覆盖密度低的地区每增加 10%,SUHI 显著(p<0.001)增加 4.0°C。不透水面增加与树木覆盖密度降低相结合,是增加大多数研究城市夏季白天 SUHI 强度的主要驱动过程。这些发现有助于识别夏季白天 LST 关键区域,并实施最有效的城市热岛缓解策略,以保护脆弱的城市环境,提高人口的生活质量。