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Quantifying the response of surface urban heat island to urbanization using the annual temperature cycle model

机译:使用年温循环模型量化表面城市热岛对城市化的响应

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摘要

Urban heat island (UHI), driving by urbanization, plays an important role in urban sustainability under climate change. However, the quantification of UHI's response to urbanization is still challenging due to the lack of robust and continuous temperature and urbanization datasets and reliable quantification methods. This study proposed a framework to quantify the response of surface UHI (SUHI) to urban expansion using the annual temperate cycle model. We built a continuous annual SUHI series at the buffer level from 2003 to 2018 in the Jing-Jin-Ji region of China using MODIS land surface temperature and imperviousness derived from Landsat. We then investigated the spatiotemporal dynamic of SUHI under urban expansion and examined the underlying mechanism. Spatially, the largest SUHI interannual variations occurred in suburban areas compared to the urban center and rural areas. Temporally, the increase in SUHI under urban expansion was more significant in daytime compare to nighttime. We found that the seasonal variation of SUHI was largely affected by the seasonal variations of vegetation in rural areas and the interannual variation was mainly attributed to urban expansion in urban areas. Additionally, urban greening led to the decrease in summer daytime SHUI in central urban areas. These findings deepen the understanding of the long-term spatiotemporal dynamic of UHI and the quantitative relationship between UHI and urban expansion, providing a scientific basis for prediction and mitigation of UHI.
机译:城市化驾驶城市热岛(UHI)在气候变化下在城市可持续发展中发挥着重要作用。然而,由于缺乏稳健和连续的温度和城市化数据集和可靠的量化方法,因此uhi对城市化对城市化反应的响应仍然具有挑战性。本研究提出了一种框架,可以使用年间气温带周期模型量化表面UHI(SUHI)对城市扩张的响应。我们在2003年至2018年在中国的京津冀地区使用Modis土地表面温度和来自Landsat的不渗透来建立了一项连续的年度苏海系列。然后,我们调查了城市扩张下苏海的时空动态,并研究了潜在的机制。空间上,与城市中心和农村地区相比,郊区的苏立际变化发生了最大的续年变化。在暂时的情况下,在白天与夜间相比,城市扩张下的苏海的增加更为显着。我们发现苏海的季节变化很大程度上受到农村植被季节变化的影响,年间变异主要归因于城市地区的城市扩张。此外,城市绿化导致夏季白天水中中城区的下降。这些调查结果深化了对UHI的长期时空动态的理解和UHI和城市扩张之间的定量关系,为UHI的预测和减轻提供了科学依据。

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