Summer Cooling Effect of Rivers in the Yangtze Basin, China: Magnitude, Threshold and Mechanisms

Pan Xiong, Dongjie Guan (), Yanli Su and Shuying Zeng
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Pan Xiong: School of Smart City, Chongqing Jiaotong University, No. 66 Xuefu Rd., Nan’an Dist., Chongqing 400074, China
Dongjie Guan: School of Smart City, Chongqing Jiaotong University, No. 66 Xuefu Rd., Nan’an Dist., Chongqing 400074, China
Yanli Su: School of Smart City, Chongqing Jiaotong University, No. 66 Xuefu Rd., Nan’an Dist., Chongqing 400074, China
Shuying Zeng: School of Smart City, Chongqing Jiaotong University, No. 66 Xuefu Rd., Nan’an Dist., Chongqing 400074, China

Land, 2025, vol. 14, issue 8, 1-27

Abstract: Under the dual pressures of global climate warming and rapid urbanization, the Yangtze River Basin, as the world’s largest urban agglomeration, is facing intensifying thermal environmental stress. Although river ecosystems demonstrate significant thermal regulation functions, their spatial thresholds of cooling effects and multiscale driving mechanisms have remained to be systematically elucidated. This study retrieved land surface temperature (LST) using the split window algorithm and quantitatively analyzed the changes in the river cold island effect and its driving mechanisms in the Yangtze River Basin by combining multi-ring buffer analysis and the optimal parameter-based geographical detector model. The results showed that (1) forest land is the main land use type in the Yangtze River Basin, with built-up land having the largest area increase. Affected by natural, socioeconomic, and meteorological factors, the summer temperatures displayed a spatial pattern of “higher in the east than the west, warmer in the south than the north”. (2) There are significant differences in the cooling magnitude among different land types. Forest land has the maximum daytime cooling distance (589 m), while construction land has the strongest cooling magnitude (1.72 °C). The cooling effect magnitude is most pronounced in upstream areas of the basin, reaching 0.96 °C. At the urban agglomeration scale, the Chengdu–Chongqing urban agglomeration shows the greatest temperature reduction of 0.90 °C. (3) Elevation consistently demonstrates the highest explanatory power for LST spatial variability. Interaction analysis shows that the interaction between socioeconomic factors and elevation is generally the strongest. This study provides important spatial decision support for formulating basin-scale ecological thermal regulation strategies based on refined spatial layout optimization, hierarchical management and control, and a “natural–societal” dual-dimensional synergistic regulation system.

Keywords: Yangtze River Basin of China; cold island effect; split window algorithm; buffer analysis method; optimal parameter-based geographical detector (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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