Diurnal Variation Reveals the Characteristics and Influencing Factors of Cool Island Effects in Urban Blue-Green Spaces

被引：0
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作者：
Kong, Ruixue [1 ]
Chu, Yaqi [2 ]
Hu, Yuanman [3 ,4 ]
Zhang, Huanxue [1 ]
Wang, Qiuyue [3 ,5 ]
Li, Chunlin [3 ,4 ]
机构：
[1] College of Geography and Environment, Shandong Normal University, Jinan,250300, China
[2] College of Architecture and Engineering, Shenyang University, Shenyang,110044, China
[3] CAS Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang,110016, China
[4] E’erguna Wetland Ecosystem Research Station, Hulunbuir,022250, China
[5] College of Resources and Environment, University of Chinese Academy of Sciences, Beijing,101408, China
来源：
Forests | 2024年 / 15卷 / 12期
关键词：
Urban blue-green space cooling island effect (BGCI) is effective in improving the thermal comfort of residents. However; there is little knowledge regarding the diurnal variation of BGCIs and the influencing factors. Therefore; we selected Beijing as the study area and used ECOSTRESS LST data and the inflection–maximum perspective method to explore the diurnal variation of BGCIs. Additionally; we investigated diurnal variations in the relative influence of the characteristics of the blue-green space itself; as well as the surrounding 2D and 3D landscape metrics using boosted regression tree model. The results indicated that BGCIs displayed distinct diurnal patterns. BGCIs progressively increased from sunrise to midday; decreased thereafter to sunset; reached its peak around midday; and diminished to a relatively low level and constant intensity at night. BGCIs of water bodies exhibited a significantly higher intensity compared to vegetation during the day; particularly around midday; with a difference in mean cooling intensity (CI) of 1.06 °C and mean cooling distance (CD) of 63.27 m; while the differences were minimal at night with a difference in mean CI of 0.02 °C and mean CD of 9.64 m. The features of vegetation had a more significant impact on BGCIs during the day; particularly around midday (CI: 32.30% around midday and 13.86% at night); while the 3D metrics influenced BGCIs more at night (CI: 26.40% around midday and 35.81% at night). The features of water bodies had a greater impact during the midday (52.87% around midday and 10.46% at night); with the landscape metrics of surrounding water bodies playing a more important role at night (15.56% around midday and 38.28% at night). The effect of tree height; shape index of vegetation; and surrounding building coverage ratio of water bodies on BGCIs exhibited opposite trends around midday and at night. Optimizing the landscape surrounding blue-green spaces is more cost-effective than the blue-green spaces themselves for nighttime thermal comfort; especially in 3D urban landscapes. These findings emphasize the imperative and essentiality of exploring diurnal variations in BGCIs; providing valuable information for mitigating UHI effects. © 2024 by the authors;
D O I：
10.3390/f15122115
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