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Quantifying the seasonal cooling capacity of 'green infrastructure types' (GITs): An approach to assess and mitigate surface urban heat island in Sydney, Australia

机译:量化“绿色基础设施类型”(GITS)的季节性冷却能力:一种评估和减轻澳大利亚悉尼表面城市热岛的方法

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摘要

Green infrastructure (GI) can help moderate urban overheating and mitigate surface urban heat islands (SUHIs) by providing protection from solar radiation, cooling surfaces through evapotranspiration, and modifying heat exchanges through advection. However, more research is needed to determine the optimum amounts, compositions and configurations of GI necessary to provide maximum thermal cooling and mitigate urban warming more effectively. In this study, a recently developed 'green infrastructure typology' (GIT) scheme is applied in Sydney, Australia to analyse the interplay and cumulative cooling effects of natural and artificial elements in summer and winter by considering their morphological and spatial characteristics. Thermal-vegetation index (TVX), simple linear regression and correlation analyses were performed to identify factors that are more influential on the cooling effects of GI. After, a hierarchical cluster analysis was performed to group types with similar cooling capacity, representing potential mitigation strategies that could be implemented at local scale. Results presented here demonstrate that the cooling effect of different types of GI on surface temperatures mostly depend on the abundance and composition of natural and man-made features. As thermal performance of GI depends on the interplay between both, this study offers a more holistic and integrated approach to assess and counter urban overheating. Key insights derived from the analysis are presented to provide a better understanding on which aspects of GI and urban form should be considered to mitigate SUHIs more effectively in neighbourhoods urban precincts and streets.
机译:绿色基础设施(GI)可以通过提供从太阳辐射,冷却表面通过蒸散,通过蒸发,通过蒸发,通过蒸发来帮助缓解表面城市热群(SUHIS)。然而,需要更多的研究来确定所需的最佳量,组合物和配置,以便更有效地提供最大的热冷却和减轻城市变暖。在本研究中,最近开发的“绿色基础设施类型学”(GIT)计划在澳大利亚悉尼应用,通过考虑其形态和空间特征来分析夏季和冬季自然和人工元素的相互作用和累积冷却效应。热植被指数(TVX),进行简单的线性回归和相关分析,以识别对GI的冷却效果更具影响力的因素。之后,对具有相似冷却能力的组类型进行分层集群分析,代表可以在本地规模实施的潜在缓解策略。这里提出的结果表明,不同类型的GI对表面温度的冷却效果主要取决于自然和人为特征的丰富和组成。由于GI的热性能取决于两者之间的相互作用,本研究提供了一种更全面的和综合方法来评估和抵消城市过热。介绍了分析的主要见解,以便在邻里城市区域和街道上更有效地考虑更好地理解GI和城市形式的哪些方面。

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