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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Haiying Gong & Yongqiang Cao & Jiaqi Yao & Nan Xu & Huanyu Chang & Shuqi Wu & Liuru Hu & Zihua Liu & Tong Liu & Zihao Zhang, 2024. "Factors Influencing Spatiotemporal Changes in the Urban Blue-Green Space Cooling Effect in Beijing–Tianjin–Hebei Based on Multi-Source Remote Sensing Data," Land, MDPI, vol. 13(9), pages 1-16, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:9:p:1423-:d:1470830
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    References listed on IDEAS

    as
    1. Yunfang Jiang & Jing Huang & Tiemao Shi & Xiaolin Li, 2021. "Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts," IJERPH, MDPI, vol. 18(22), pages 1-28, November.
    2. Yunfang Jiang & Jing Huang & Tiemao Shi & Hongxiang Wang, 2021. "Interaction of Urban Rivers and Green Space Morphology to Mitigate the Urban Heat Island Effect: Case-Based Comparative Analysis," IJERPH, MDPI, vol. 18(21), pages 1-29, October.
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