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评估中国不同气候带地表城市热岛与景观格局之间的关系。

Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China.

机构信息

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China.

School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China.

出版信息

Sci Rep. 2017 Aug 24;7(1):9337. doi: 10.1038/s41598-017-09628-w.

Abstract

The urban heat island (UHI) effect exerts a great influence on the Earth's environment and human health and has been the subject of considerable attention. Landscape patterns are among the most important factors relevant to surface UHIs (SUHIs); however, the relationship between SUHIs and landscape patterns is poorly understood over large areas. In this study, the surface UHI intensity (SUHII) is defined as the temperature difference between urban and suburban areas, and the landscape patterns are quantified by the urban-suburban differences in several typical landscape metrics (ΔLMs). Temperature and land-cover classification datasets based on satellite observations were applied to analyze the relationship between SUHII and ΔLMs in 332 cities/city agglomerations distributed in different climatic zones of China. The results indicate that SUHII and its correlations with ΔLMs are profoundly influenced by seasonal, diurnal, and climatic factors. The impacts of different land-cover types on SUHIs are different, and the landscape patterns of the built-up and vegetation (including forest, grassland, and cultivated land) classes have the most significant effects on SUHIs. The results of this study will help us to gain a deeper understanding of the relationship between the SUHI effect and landscape patterns.

摘要

城市热岛 (UHI) 效应对地球环境和人类健康产生了巨大影响,引起了广泛关注。景观格局是与地表 UHI(SUHI)相关的最重要因素之一;然而,在大面积范围内,SUHI 与景观格局之间的关系还不太清楚。在本研究中,地表热岛强度 (SUHII) 定义为城市和郊区之间的温差,景观格局通过几个典型景观指标的城乡差异 (ΔLMs) 来量化。基于卫星观测的温度和土地覆盖分类数据集被应用于分析中国不同气候区 332 个城市/城市群的 SUHII 与 ΔLMs 之间的关系。结果表明,SUHII 及其与 ΔLMs 的相关性受到季节、昼夜和气候因素的深刻影响。不同土地覆盖类型对 SUHI 的影响不同,建成区和植被(包括森林、草地和耕地)类别的景观格局对 SUHI 有最显著的影响。本研究的结果将有助于我们更深入地了解 SUHI 效应与景观格局之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a14/5571207/e6a3c4710dc3/41598_2017_9628_Fig1_HTML.jpg

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