Evaluation of urban greening cooling effect based on Spatio-temporal series observation
WANG Yu-bai1, BAI Ting-ting2, XU Dong3, LI Ming-feng1, TAN Ding1
1. School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China; 2. School of Business Administration, Northeastern University, Shenyang 110189, China; 3. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100091, China
Abstract:A general conceptual model based on systematic time-series observations was designed for Beijing, and the first Urban Greening (UG) cooling effect map for China from 2001 to 2018 was published. The study showed that there was a significant positive correlation between urban surface temperature (UST) and imperviousness, negative correlation between UST and imperviousness in the time dimension. In addition, the cooling effect of UG in the core and sprawling areas of Beijing was highly heterogeneous, with the cooling effect in the core area being approximately twice that of the sprawling area. Combining observed and simulated UST’s trends, this study quantified a cooling effect of 1.09K in Beijing, which mitigated 43.25% of the urban warming trend. However, the UST in Beijing has increased by 1.42K. Therefore, the construction of the urban thermal environment in Beijing still faces greater challenges. This study may provide a reference for mitigating potential warming’s trends due to future urban expansion.
王宇白, 白婷婷, 徐栋, 李明峰, 檀丁. 基于系统时间序列的城市绿化冷却效应评估研究[J]. 中国环境科学, 2023, 43(9): 4859-4867.
WANG Yu-bai, BAI Ting-ting, XU Dong, LI Ming-feng, TAN Ding. Evaluation of urban greening cooling effect based on Spatio-temporal series observation. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(9): 4859-4867.
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