| Prediction models of urban heat island based on landscape patterns and anthropogenic heat dynamics | |
Li, Jiayan ; Sun, Ranhao; Liu, Ting; Xie, Wei; Chen, Liding
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| 2021-06 | |
| Source Publication | LANDSCAPE ECOLOGY
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| ISSN | 0921-2973 |
| Volume | 36Issue:6Pages:1801-1815 |
| Abstract | Contexts The influence of landscape patterns on urban thermal environment has received remarkable attention with the rapid urbanization process worldwide. Although numerous studies have revealed the relationship between landscape patterns and the urban thermal environment, there is limited effort to quantify the contributions of landscape patterns and anthropogenic heat to urban heat islands (UHI) under the seasonal and daily dynamics. Objectives This study aims to identify the effects of landscape patterns and anthropogenic heat on UHI intensity in the daytime and nighttime as well as in different seasons. Methods We first used remotely sensed images to extract the landscape patterns and land surface temperature. Anthropogenic heat was quantified through energy consumption data. Multivariate stepwise regression was used to quantify the effects of landscape patterns and anthropogenic heat on UHI intensity. Results Eight models were constructed for daytime and nighttime UHI intensity in spring, summer, fall, and winter, respectively. Results demonstrated that the presence of buildings is the main factor affecting UHI intensity in urban area for three seasons except summer. Basically, the contributions of landscape configuration to the UHI in the daytime is higher than landscape composition, while the opposite is true at night. The contribution of anthropogenic heat was low in all seasons due to the high correlation with non-monolayer buildings. The nighttime UHI intensity models fit better than the daytime, especially in the winter. Conclusions This study contributes to the understanding of landscape influence on UHI intensity and provides practical guidelines for landscape planning to mitigate UHI effects. |
| Department | 城市与区域生态国家重点实验室 |
| Keyword | Urban heat island Landscape pattern Anthropogenic heat Multiple linear regression |
| WOS Research Area | Ecology ; Geography, Physical ; Geosciences, Multidisciplinary |
| Document Type | 期刊论文 |
| Identifier | https://ir.rcees.ac.cn/handle/311016/45538 |
| Collection | 城市与区域生态国家重点实验室 |
| Affiliation | 1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.NE Illinois Univ, Dept Geog & Environm Studies, Chicago, IL 60625 USA |
| Recommended Citation GB/T 7714 | Li, Jiayan,Sun, Ranhao,Liu, Ting,et al. Prediction models of urban heat island based on landscape patterns and anthropogenic heat dynamics[J]. LANDSCAPE ECOLOGY,2021,36(6):1801-1815. |
| APA | Li, Jiayan,Sun, Ranhao,Liu, Ting,Xie, Wei,&Chen, Liding.(2021).Prediction models of urban heat island based on landscape patterns and anthropogenic heat dynamics.LANDSCAPE ECOLOGY,36(6),1801-1815. |
| MLA | Li, Jiayan,et al."Prediction models of urban heat island based on landscape patterns and anthropogenic heat dynamics".LANDSCAPE ECOLOGY 36.6(2021):1801-1815. |
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| Prediction models of（1113KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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