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<p>Land cover has a significant impact on urban heat islands. The correlation coefficient and spatial regression models were used to study the effect of land cover on land surface temperature and its spatial and temporal heterogeneity. There were three main results. First, a correlation with spatiotemporal heterogeneity was evident between land cover and land surface temperature. Within the entire province of Shandong, the positive correlation between land surface temperature with cultivated land and artificial surfaces reached significance levels of &lt; 0.05, while the negative correlation between land surface temperature with forests and grasslands was up to a significance level of 0.001. Second, land surface temperature showed positive associations with both cultivated land and artificial surfaces. When the area of the artificial surfaces in Shandong increased by 1%, the land surface temperature increased by 0.05&#xa0;℃ in 2000, 0.1&#xa0;℃ in 2010, and 0.14&#xa0;℃ in 2020. When the proportion of the cultivated land in Shandong increased by 1%, the temperature upgraded by 0.03, 0.04, and 0.09&#xa0;°C, in the same respective years. Third, compared to coastal regions, the land surface temperature in inland regions was more significantly affected by land cover. In 2010 and 2020, a 1% extended in the area of the artificial surfaces increased the land surface temperature in the inland areas by 0.13 and 0.16&#xa0;°C, while the temperature in the coastal regions upgraded by 0.09 and 0.12&#xa0;°C, respectively. In 2010 and 2020, a 1% increase in a forested area in inland regions decreased land surface temperature by 0.14 and 0.19&#xa0;°C, respectively.</p>

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Study on the effect of land cover on surface urban heat islands

  • 期刊论文

  • 发表日期：

    2025年4月17日

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  • Q. Ren,
  • B. Shan,
  • C. Shui,
  • W. Li,
  • L. Wang,
  • Q. Zhang,
  • Y. Liu

摘要

Land cover has a significant impact on urban heat islands. The correlation coefficient and spatial regression models were used to study the effect of land cover on land surface temperature and its spatial and temporal heterogeneity. There were three main results. First, a correlation with spatiotemporal heterogeneity was evident between land cover and land surface temperature. Within the entire province of Shandong, the positive correlation between land surface temperature with cultivated land and artificial surfaces reached significance levels of < 0.05, while the negative correlation between land surface temperature with forests and grasslands was up to a significance level of 0.001. Second, land surface temperature showed positive associations with both cultivated land and artificial surfaces. When the area of the artificial surfaces in Shandong increased by 1%, the land surface temperature increased by 0.05 ℃ in 2000, 0.1 ℃ in 2010, and 0.14 ℃ in 2020. When the proportion of the cultivated land in Shandong increased by 1%, the temperature upgraded by 0.03, 0.04, and 0.09 °C, in the same respective years. Third, compared to coastal regions, the land surface temperature in inland regions was more significantly affected by land cover. In 2010 and 2020, a 1% extended in the area of the artificial surfaces increased the land surface temperature in the inland areas by 0.13 and 0.16 °C, while the temperature in the coastal regions upgraded by 0.09 and 0.12 °C, respectively. In 2010 and 2020, a 1% increase in a forested area in inland regions decreased land surface temperature by 0.14 and 0.19 °C, respectively.