Impacts of urban landscape patterns on urban thermal variations in Guangzhou, China

Impacts of urban landscape patterns on urban thermal variations in Guangzhou, China
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DOI:
10.1016/j.jag.2016.09.007
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发表时间:
2017-02-01
影响因子:
7.5
通讯作者:
Yu, Shixiao
Yu, Shixiao
中科院分区:
地球科学1区
文献类型:
--
作者:
Chen, Youjun;Yu, Shixiao

文献摘要

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快速城市化对环境的主要影响之一是城市地表热变化(SUTV)的影响。了解城市景观特征对SUTV的影响对于改善城市生态和可持续发展至关重要。在这项研究中,进行了调查,以检测城市景观格局,并评估其对地表温度的影响。大地卫星图像:利用专题制图软件对广东省省会广州市的地表温度进行了计算。然后根据经验确定了SUTV区域,包括城市地表热岛(SUHI)和城市地表散热器(SUHS)。景观格局的组成和配置进行了测量的一系列空间指标在类和景观水平的SUHI和SUHS区。分析了景观组成和景观结构对城市热特征的影响。结果表明,景观组成对城市景观价值的影响最大,但城市景观结构也对城市景观价值产生影响。这些研究结果有助于全面了解城市景观格局如何影响SUTV,并有助于设计有效的城市景观格局,以尽量减少SUHI的影响。(C)2016爱思唯尔B.V.保留所有权利。
One of the key impacts of rapid urbanization on the environment is the effect of surface urban thermal variations (SUTV). Understanding the effects of urban landscape features on SUTV is crucial for improving the ecology and sustainability of cities. In this study, an investigation was conducted to detect urban landscape patterns and assess their impact on surface temperature. Landsat images: Thematic Mapper was used to calculate land surface temperature (LST) in Guangzhou, the capital city of Guangdong Province in southern China. SUTV zones, including surface urban heat islands (SUHI) and surface urban heat sinks (SUHS), were then empirically identified. The composition and configuration of landscape patterns were measured by a series of spatial metrics at the class and landscape levels in the SUHI and SUHS zones. How both landscape composition and configuration influence urban thermal characteristics was then analysed. It was found that landscape composition has the strongest effect on SUTV, but that urban landscape configuration also influences SUTV. These findings are helpful for achieving a comprehensive understanding of how urban landscape patterns impact SUTV and can help in the design of effective urban landscape patterns to minimize the effects of SUHI. (C) 2016 Elsevier B.V. All rights reserved.