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<p>Understanding the spatiotemporal evolution of Surface Urban Heat Island (SUHI) and identifying the spatial differentiation of its driving factors are essential for improving the urban thermal environment (UTE). This study examines the spatiotemporal variation characteristics of Local Climate Zone (LCZ) in Tianjin and its impact on SUHI from 2013 to 2023, using remote sensing and GIS technologies. The spatial relationships between SUHI and multiple urban morphology, land cover, and human activity factors are further compared across LCZ built types in each study year. Results show that the spatial pattern of SUHI closely corresponds to LCZ transitions, with the conversion of land cover types to built types contributing to the expansion of slight high and high SUHI areas. Across all LCZ built types, the most consistently important spatial drivers of SUHI include Normalized Difference Built-up Index, Pervious Surface Fraction, and Building Coverage Ratio. On the other hand, human activity indicators also exhibit stronger spatial associations with SUHI in 2023 compared with earlier study years. People Density has replaced Building Coverage Ratio as one of the main driving factors for LCZ 3 and LCZ 4 in 2023. Based on these findings, targeted SUHI mitigation countermeasures for different LCZ built types are further proposed. This study’s approach contributes to urban planners and policymakers in formulating effective countermeasures to mitigate SUHI.</p>

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Exploration of the spatiotemporal evolution of Surface Urban Heat Island from 2013 to 2023 and driving factors of different years in Tianjin based on Local Climate Zone Scheme

  • 期刊论文

  • 发表日期：

    2025年12月30日

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  • Youfang Li,
  • Boxu Han,
  • Yifei Peng,
  • Zheng Wang

摘要

Understanding the spatiotemporal evolution of Surface Urban Heat Island (SUHI) and identifying the spatial differentiation of its driving factors are essential for improving the urban thermal environment (UTE). This study examines the spatiotemporal variation characteristics of Local Climate Zone (LCZ) in Tianjin and its impact on SUHI from 2013 to 2023, using remote sensing and GIS technologies. The spatial relationships between SUHI and multiple urban morphology, land cover, and human activity factors are further compared across LCZ built types in each study year. Results show that the spatial pattern of SUHI closely corresponds to LCZ transitions, with the conversion of land cover types to built types contributing to the expansion of slight high and high SUHI areas. Across all LCZ built types, the most consistently important spatial drivers of SUHI include Normalized Difference Built-up Index, Pervious Surface Fraction, and Building Coverage Ratio. On the other hand, human activity indicators also exhibit stronger spatial associations with SUHI in 2023 compared with earlier study years. People Density has replaced Building Coverage Ratio as one of the main driving factors for LCZ 3 and LCZ 4 in 2023. Based on these findings, targeted SUHI mitigation countermeasures for different LCZ built types are further proposed. This study’s approach contributes to urban planners and policymakers in formulating effective countermeasures to mitigate SUHI.