您好，欢迎访问山东省农业科学院文献资源数据库平台

Understanding the role of urban features in land surface temperature at the block scale: A diurnal cycle perspective

文献类型： 外文期刊

作者： Han, Dongrui 1 ; Cai, Hongyan 2 ; Wang, Fei 1 ; Wang, Meng 1 ; Xu, Xinliang 2 ; Qiao, Zhi 3 ; An, Hongmin 4 ; Liu, Yihui 5 ; Jia, Kun 6 ; Sun, Zongyao 7 ; Wang, Shihao 8 ;

作者机构： 1.Shandong Acad Agr Sci, Inst Agr Informat & Econ, Jinan 250100, Peoples R China

2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

3.Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300350, Peoples R China

4.Shandong Normal Univ, Coll Geog & Environm, Jinan 250014, Peoples R China

5.Linyi Bur Nat Resources & Planning, Urban & Rural Planning Res Ctr, Linyi 276000, Peoples R China

6.Shandong Jianzhu Univ, Sch Management Engn, Jinan 250101, Peoples R China

7.Kunming Univ Sci & Technol, Fac Architecture & City Planning, Kunming 650500, Peoples R China

8.Minist Ecol & Environm, Tech Ctr Soil Agr & Rural Ecol & Environm, Beijing 100012, Peoples R China

关键词： Urban features; Tree morphology; Land surface temperature; Boosted regression tree; Landscape optimization

期刊名称：SUSTAINABLE CITIES AND SOCIETY （ 影响因子：10.5； 五年影响因子：10.0 ）

ISSN： 2210-6707

年卷期： 2024 年 111 卷

页码：

收录情况： SCI

摘要： The diverse urban features considerably influence land surface temperature (LST). Numerous studies have extensively investigated the impacts of 2D/3D urban features on LST. However, the diurnal impacts have not been comprehensively understood. Therefore, taking 1, 510 blocks within the 4th ring road of Beijing as samples, this study examined the influence of urban features (2D: low vegetation, water, and impervious surface; 3D: buildings and trees) on diurnal LST at the block scale based on ECOSTRESS LST using boosted regression tree (BRT) algorithm. The results showed that trees exhibit better cooling effects than low vegetation except at 3:09. The 3D features exhibited a greater impact on diurnal LST compared with 2D features, and it contributed strongly to daytime LST, which was 27.8 % on average higher than the 2D features. Building and tree densities had the greatest influence on daytime LST, while building height influenced nighttime LST the most. The impacts of key metrics on diurnal LST were nonlinear, and the relationship had diurnal variations. Taller buildings and trees were negatively correlated with LST during the daytime and transition time, but positively correlated with nighttime LST. The findings provide insights into landscape optimization strategies to improve block thermal comfort.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：山东省农业科学院文献资源数据库平台

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台