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

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

DOI:
10.1016/j.gsf.2021.101141
复制
发表时间:
2021-01
影响因子:
8.9
通讯作者:
Huidong Li;Yuyu Zhou;G. Jia;K. Zhao;Jinwei Dong
Huidong Li;Yuyu Zhou;G. Jia;K. Zhao;Jinwei Dong
中科院分区:
地球科学1区
文献类型:
--
作者:
Huidong Li;Yuyu Zhou;G. Jia;K. Zhao;Jinwei Dong

文献摘要

被引文献

相似文献

由城市化驱动的城市热岛(UHI)在气候变化下的城市可持续发展中发挥着重要作用。然而,由于缺乏稳健、连续的温度和城市化数据集以及可靠的量化方法,量化城市热岛对城市化的响应仍然具有挑战性。本研究提出了一个框架,使用年温带循环模型来量化地表城市热岛 (SUHI) 对城市扩张的响应。我们利用来自 Landsat 的 MODIS 地表温度和不透水性,在 2003 年至 2018 年期间在中国京津冀地区建立了连续的年度缓冲水平 SUHI 系列。然后,我们研究了城市扩张下 SUHI 的时空动态,并探讨了其潜在机制。在空间上,与市中心和农村地区相比,郊区地区的 SUHI 年际变化最大。从时间上看,城市扩张下的SUHI增加在白天比夜间更为显着。我们发现SUHI的季节变化主要受农村地区植被季节变化的影响,年际变化主要归因于城市地区的城市扩张。此外,城市绿化导致中心城区夏季白天水的减少。这些发现加深了对城市热岛长期时空动态以及城市热岛与城市扩张之间定量关系的认识,为城市热岛的预测和缓解提供了科学依据。
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.