Linking Heat Source-Sink Landscape Patterns with Analysis of Urban Heat Islands: Study on the Fast-Growing Zhengzhou City in Central China
Linking Heat Source-Sink Landscape Patterns with Analysis of Urban Heat Islands: Study on the Fast-Growing Zhengzhou City in Central China
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DOI：
10.3390/rs10081268
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发表时间：
2018-08
期刊：
影响因子：
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通讯作者：
Hongbo Zhao;H. Zhang;C. Miao;X. Ye;Min Min-Min
中科院分区：
文献类型：
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作者：
Hongbo Zhao;H. Zhang;C. Miao;X. Ye;Min Min-Min
在全球范围内，城市热岛效应是导致城市居民遭受不良城市生态环境和严重健康风险的主要问题。了解城市景观特征对热环境的影响一直是各个研究领域的一个重要焦点。以快速发展的郑州市为例，分析城市热源-汇景观格局对城市热岛的影响。利用1996年、2006年和2014年捕获的陆地卫星数据、各种地理空间方法和相关分析来促进分析。基于城市景观对地表温度的贡献，我们对城市景观的热源和热汇进行了实证识别。在此基础上，通过景观和类的空间度量，估算了热源和汇景观的组成和配置。结果表明：1996 - 2014年，研究区总体平均地表温度（LST）升高了2.72°C；观测到的总体平均地表温度的增加趋势与研究区快速城市化的过程相一致，不透水地表的急剧增加和植被覆盖的大量减少证明了这一点。总体而言，景观组成对地表温度的影响大于景观配置对地表温度的影响。对于热源而言，斑块的比例、大小、聚集度和密度对地表温度有正向影响，而调整城市景观的空间分布和丰度是控制热岛效应的有效途径。相反，热沉斑块的百分比、大小、密度和聚集对地表温度有负向影响。此外，在减轻热岛效应时，应考虑增加斑块总边缘和形状复杂性的影响。研究结果有助于进一步认识城市景观格局对城市热岛效应的影响，并有助于优化城市景观格局，缓解城市热岛效应，促进研究区可持续发展。
Globally, the urban heat island (UHI) effect is a major problem which leads to urban residents suffering from adverse urban ecological environments and serious health risks. Understanding the impacts of urban landscape features on the thermal environment has been an important focus across various fields of research. The purpose of this study is to analyze the impacts of urban heat source–sink landscape patterns on urban heat islands, using the fast-growing Zhengzhou City in central China as the case study. Landsat data (captured in 1996, 2006, and 2014), various geospatial approaches, and correlation analysis were applied to facilitate the analysis. Based on the contributions of the urban landscape to land surface temperature (LST), we empirically identified the heat sources and heat sinks. Then, the composition and configurations of heat source and sink landscapes were estimated by a series of spatial metrics at the landscape and class levels. The results showed that the overall mean land surface temperature (LST) in the study area increased by 2.72 °C from 1996 to 2014. This observed increasing trend in overall mean LST is consistent with the process of rapid urbanization in the study area, which was evidenced by the dramatic increase in impervious surfaces and the substantial loss in vegetation cover. Generally, as observed, landscape composition has a stronger influence on LST than does landscape configuration. For heat sources, the proportion, size, aggregation, and density of patches have positive effects on LST, while adjusting the spatial distribution and abundance of urban landscape are effective ways to control the UHI effects. In contrast, the percentage, size, density, and aggregation of heat sink patches have negative effects on LST. Additionally, the effects of increasing total patch edges and shape complexity should be considered when mitigating the UHI effect. These findings are beneficial for furthering our understanding of how urban landscape patterns affect UHI, and they can help optimize urban landscape patterns to alleviate the UHI effect and enhance sustainable development in the study area.