<p>While urbanization brings social progress, it is also accompanied by serious urban thermal environment problems. In this study, we take the main urban area of Xi’an as the research object and use GIS technology to analyze the impacts of thermal environmental effects based on remote sensing image data from 2000 to 2021.The results show that: (1) The thermal environment effect in the main urban area of Xi’an is significantly improved from 2000 to 2021. The area of the hot island region continues to increase, and the trend of northward movement is obvious, while the cold island region is scattered in the urban park and around the water body. (2) The three influencing factors with the strongest driving effects are, in order: Land Use and Cover Change (LUCC, q = 0.498) &gt; Normalized Difference Moisture Index (NDMI, q = 0.432) &gt; Normalized Difference Vegetation Index (NDVI, q = 0.406). The interactions between the drivers were mostly strengthened by two factors, with q values in the range [0.155, 0.720] after overlapping effects. (3) The positive effect of LUCC on thermal environmental effects was spatially stratified with significant heterogeneity. The results of the study provide a new basis for understanding the urban thermal environment effect and an important reference for urban planners to mitigate the heat island effect.</p>

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Research on thermal environment effects in Xi’an City based on multi-source remote sensing data: spatial heterogeneity perspective

  • Yao Zhang,
  • Qian Wang,
  • Jing Quan,
  • Mingjie Bai

摘要

While urbanization brings social progress, it is also accompanied by serious urban thermal environment problems. In this study, we take the main urban area of Xi’an as the research object and use GIS technology to analyze the impacts of thermal environmental effects based on remote sensing image data from 2000 to 2021.The results show that: (1) The thermal environment effect in the main urban area of Xi’an is significantly improved from 2000 to 2021. The area of the hot island region continues to increase, and the trend of northward movement is obvious, while the cold island region is scattered in the urban park and around the water body. (2) The three influencing factors with the strongest driving effects are, in order: Land Use and Cover Change (LUCC, q = 0.498) > Normalized Difference Moisture Index (NDMI, q = 0.432) > Normalized Difference Vegetation Index (NDVI, q = 0.406). The interactions between the drivers were mostly strengthened by two factors, with q values in the range [0.155, 0.720] after overlapping effects. (3) The positive effect of LUCC on thermal environmental effects was spatially stratified with significant heterogeneity. The results of the study provide a new basis for understanding the urban thermal environment effect and an important reference for urban planners to mitigate the heat island effect.