Factors Influencing Spatiotemporal Changes in the Urban Blue-Green Space Cooling Effect in Beijing–Tianjin–Hebei Based on Multi-Source Remote Sensing Data

Haiying Gong, Yongqiang Cao (), Jiaqi Yao (), Nan Xu, Huanyu Chang, Shuqi Wu, Liuru Hu, Zihua Liu, Tong Liu and Zihao Zhang
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Haiying Gong: Academy of Ecological Civilization Development for JING-JIN-JI Megalopolis, Tianjin Normal University, Tianjin 300387, China
Yongqiang Cao: Academy of Ecological Civilization Development for JING-JIN-JI Megalopolis, Tianjin Normal University, Tianjin 300387, China
Jiaqi Yao: Academy of Ecological Civilization Development for JING-JIN-JI Megalopolis, Tianjin Normal University, Tianjin 300387, China
Nan Xu: School of Earth Sciences and Engineering, College of Geography and Remote Sensing, Hohai University, Nanjing 210098, China
Huanyu Chang: Academy of Ecological Civilization Development for JING-JIN-JI Megalopolis, Tianjin Normal University, Tianjin 300387, China
Shuqi Wu: College of Resources, Environment and Tourism, Capital Normal University, Beijing 100048, China
Liuru Hu: College of Geomatics, Xi’an University of Science and Technology, Xi’an 710054, China
Zihua Liu: Academy of Ecological Civilization Development for JING-JIN-JI Megalopolis, Tianjin Normal University, Tianjin 300387, China
Tong Liu: Academy of Ecological Civilization Development for JING-JIN-JI Megalopolis, Tianjin Normal University, Tianjin 300387, China
Zihao Zhang: School of Earth Sciences and Engineering, College of Geography and Remote Sensing, Hohai University, Nanjing 210098, China

Land, 2024, vol. 13, issue 9, 1-16

Abstract: Owing to rapid urbanization, the Beijing–Tianjin–Hebei region in China faces considerable urban heat island (UHI) effects, which can be mitigated by blue-green space construction. In this study, we used multi-source remote sensing products and the InVEST model’s urban cooling module to analyze the spatiotemporal changes in blue-green space cooling effects from 1990 to 2020. The wavelet coherence theory was used to explore these changes, as well as the environmental factors that affect cooling. The key findings indicate that the cooling effect is closely related to urbanization, as similar trends and significant temporal differences in cooling indices were observed in central urban areas, the urban fringe, and the city center. In addition, climatic factors such as temperature and precipitation substantially influenced cooling, with an average wavelet coherence of 0.88. Seasonal variations in cooling were notable, with temperature exhibiting the best coherence across all time–frequency scales (averaging 0.55). The findings highlight the critical role of blue-green spaces for mitigating UHI effects, which provides scientific insights for urban planning and environmental management.

Keywords: blue-green space; cooling effect; Beijing–Tianjin–Hebei; satellite remote sensing; wavelet coherence (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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