Separate and combined effects of 3D building features and urban green space on land surface temperature
文献类型：期刊论文
| 作者 | Yuan, Bo1,3; Zhou, Liang1,2; Dang, Xuewei1,3; Sun, Dongqi2; Hu, Fengning1,4; Mu, Haowei1,4 |
| 刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
 |
| 出版日期 | 2021-10-01 |
| 卷号 | 295页码:10 |
| 关键词 | 3D building metrics Landscape metrics Thermal environment Boosted regression tree Blocks |
| ISSN号 | 0301-4797 |
| DOI | 10.1016/j.jenvman.2021.113116 |
| 通讯作者 | Zhou, Liang(zhouliang@lzjtu.edu.cn) |
| 英文摘要 | Deduction of urban green space (UGS) and the multidimensional growth of building have exacerbated the urban heat island (UHI). Yet thorough investigations into how 3D building features and UGS combinedly influence urban land surface temperature (LST) are limited, especially at the road-based blocks scale. Therefore, the study uses the boosted regression tree (BRT) model to explore the relative contribution and marginal effects of the influential factors on LST, and quantify the warming/cooling effects of buildings and UGS. Results show that, (1) building coverage ratio (BCR) is the most influential factor among seven building metrics with a relative contribution of 44.6%. Besides, high-rise buildings tend to alleviate LST while low- and mid-rise buildings heat the surroundings. (2) Green coverage ratio (GCR), edge density (ED), and patch density (PD) are the most influential factors among six UGS metrics, with the relative contribution of 21.0%, 20.9%, and 20.4%, respectively. (3) Comprehensively considering 13 metrics, we find that the dominant influential factor is BCR with a relative contribution of 28.3%, while the regulation amplitudes to LST of aggregation index (AI) and GCR dramatically reduced. These findings indicate that the cooling effect of UGS will be obscured when the buildings coverage is large. Hence, only relying on UGS to alleviate the heat island effect seems inadequate, the keys are the reasonable planning and optimization of 3D built environment. |
| WOS关键词 | HEAT-ISLAND ; LANDSCAPE PATTERN ; CONFIGURATION ; IMPACTS ; METRICS ; CHINA ; AREA ; INDICATORS ; CLIMATE ; WATER |
| 资助项目 | Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resource[KF-2020-05-067] ; National Natural Science Foundation of China[41961027] ; Key Talent Projects in Gansu Province[2021] ; LZJTU EP[201806] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000681299900007 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| 资助机构 | Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resource ; National Natural Science Foundation of China ; Key Talent Projects in Gansu Province ; LZJTU EP |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/164687]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhou, Liang |
| 作者单位 | 1.Lanzhou Jiaotong Univ, Fac Geomat, 88 Anning West Rd, Lanzhou 730070, 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.Natl Local Joint Engn Res Ctr Technol & Applicat, Lanzhou 730070, Peoples R China 4.Gansu Prov Engn Lab Natl Geog State Monitoring, Lanzhou 730070, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Bo,Zhou, Liang,Dang, Xuewei,et al. Separate and combined effects of 3D building features and urban green space on land surface temperature[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2021,295:10. |
| APA | Yuan, Bo,Zhou, Liang,Dang, Xuewei,Sun, Dongqi,Hu, Fengning,&Mu, Haowei.(2021).Separate and combined effects of 3D building features and urban green space on land surface temperature.JOURNAL OF ENVIRONMENTAL MANAGEMENT,295,10. |
| MLA | Yuan, Bo,et al."Separate and combined effects of 3D building features and urban green space on land surface temperature".JOURNAL OF ENVIRONMENTAL MANAGEMENT 295(2021):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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