Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China
Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China
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DOI：
10.1016/j.jag.2023.103411
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发表时间：
2023-08
期刊：
影响因子：
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通讯作者：
Haoran Hou;Q. Longyang;H. Su;R. Zeng;Tianfang Xu;Zhihong Wang
中科院分区：
文献类型：
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作者：
Haoran Hou;Q. Longyang;H. Su;R. Zeng;Tianfang Xu;Zhihong Wang
城市热环境恶化，城市热岛效应（UHI）是一个突出的例子，已经成为许多不利的城市环境问题的根源，包括健康风险增加，空气质量和生态系统服务退化，以及工程基础设施弹性降低。在过去的几十年里，人们投入了巨大的努力和资源来寻找城市热缓解的可持续解决方案，而不同的城市热岛属性及其时空变化模式的相对贡献仍然模糊不清。在这项研究中，我们采用了随机森林（RF）的方法来量化的相对重要性的四类城市表面的特点，调节表面城市热岛，即城市绿化比例，土地表面植被，城市形态和人类活动的水平。我们选择了中国6个大城市中的17个主要城市作为研究区域，使用来自多源遥感和观测数据产品的RF训练集和测试集。结果表明，城市绿地覆盖率是城市热岛最重要的环境影响因子，其次是地表覆盖率。研究结果为城市规划者、政策制定者和工程实践者设计和实施可持续的城市热缓解战略提供了信息。
The exacerbated thermal environment in cities, with the urban heat island (UHI) effect as a prominent example, has been the source of many adverse urban environmental issues, including the increase of health risks, degradation of air quality and ecosystem services, and reduced resiliency of engineering infrastructure. Last decades have witnessed tremendous efforts and resources being invested to find sustainable solutions for urban heat mitigation, whereas the relative contributions of different UHI attributes and their patterns of spatio-temporal variability remain obscure. In this study, we employed the random forest (RF) method to quantify the relative importance of four categories of urban surface characteristics that regulate the surface UHI, namely the urban greenery fraction, land surface albedo, urban morphology, and level of human activities. We selected seventeen major cities from six megaregions in China as our study areas, with the RF training and test sets obtained from multi-sourced remote sensing and observational data products. It is found that the urban greenery coverage manifests as the most important environmental determinants of UHI, followed by surface albedo. The results are informative for urban planners, policymakers, and engineering practitioners to design and implement sustainable strategies for urban heat mitigation.