Scientific Reports (Feb 2024)

Exploring the relationship between land use/land cover and apparent temperature in China (1996–2020): implications for urban planning

  • Han Ding,
  • Qiuru Ren,
  • Chengcheng Wang,
  • Haitao Chen,
  • Yuqiu Wang

DOI
https://doi.org/10.1038/s41598-024-53858-8
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 17

Abstract

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Abstract In recent decades, rising air temperatures (AT) and apparent temperatures (AP) have posed growing health risks. In the context of China's rapid urbanization and global climate change, it is crucial to understand the impact of urban land use/land cover (LULC) changes on AP. This study investigates the spatial distribution and long-term variation patterns of AT and AP, using data from 834 meteorological stations across China from 1996 to 2020. It also explores the relationship between AT, AP, and LULC in the urban core areas of 30 major cities. Study reveals that AT and AP exhibit overall high spatial similarity, albeit with greater spatial variance in AP. Notably, regions with significant disparities between the two have been identified. Furthermore, it's observed that the spatial range of high AP change rates is wider than that of AT. Moreover, the study suggests a potential bivariate quadratic function relationship between ΔT (the difference between AT and AP) and Wa_ratio and Ar_ratio, indicating the presence of a Least Suitable Curve (LSC), $${\text{W}}_{{\text{a}}} \_{\text{ratio}} = {0}{{.263(}} \pm {0}{{.0269)}} - {0}{{.437(}} \pm {0}{{.0417)}} \times {\text{Ar}}\_{\text{ratio}}$$ W a _ ratio = 0 . 263 ( ± 0 . 0269 ) - 0 . 437 ( ± 0 . 0417 ) × Ar _ ratio . Urban LULC planning should carefully avoid intersecting with this curve. These findings can provide valuable insights for urban LULC planning, ultimately enhancing the thermal comfort of urban residents.

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