Variations in the Effects of Landscape Patterns on the Urban Thermal Environment during Rapid Urbanization (1990-2020) in Megacities
文献类型：期刊论文
| 作者 | Ye, Haipeng; Li, Zehong; Zhang, Ninghui; Leng, Xuejing; Meng, Dan; Zheng, Ji; Li, Yu |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-09 |
| 卷号 | 13期号:17页码:- |
| 关键词 | urban thermal environment landscape pattern megacity spatiotemporal analysis urbanization stage |
| 英文摘要 | Deterioration of the urban thermal environment, especially in megacities with intensive populations and high densities of impervious surfaces, is a global issue resulting from rapid urbanization. The effects of landscape patterns on the urban thermal environment within a single area or single period have been well documented. Few studies, however, have explored whether the effects can be adapted to various cities at different urbanization stages. This paper investigated the variations of these effects in the five largest and highly urbanized megacities of China from 1990 to 2020 using various geospatial approaches, including concentric buffer analysis, correlation analysis, and hierarchical ridge regression models. The results indicated that the effects of landscape patterns on the urban thermal environment were greatly variable at different urbanization stages. Although landscape composition was more important than landscape configuration in determining the urban thermal environment, the standard coefficients of composition metrics continuously decreased from 1990 to 2020. However, configuration metrics, such as patch density, edge density, and shape complexity, could affect the land surface temperature (LST) to a larger extent at the highly urbanized stage. The urbanization process could also affect the cooling effect of urban green space. At the initial stage of rapid urban expansion in approximately 2000, urban green space explained the most variation in LST, with a value as high as 10%. To maximize the cooling effect, the spatial arrangement of urban green space should be highlighted in the region that was 10-15 km from the city center, where the mean LST experienced a significant decline. These results may provide deeper insights into improving the urban thermal environment by targeted strategies in optimizing landscape patterns for areas at different urbanization stages. |
| WOS研究方向 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45607]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Univ Hong Kong, Dept Urban Planning & Design, Pokfulam, Hong Kong, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 5.Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300354, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ye, Haipeng,Li, Zehong,Zhang, Ninghui,et al. Variations in the Effects of Landscape Patterns on the Urban Thermal Environment during Rapid Urbanization (1990-2020) in Megacities[J]. REMOTE SENSING,2021,13(17):-. |
| APA | Ye, Haipeng.,Li, Zehong.,Zhang, Ninghui.,Leng, Xuejing.,Meng, Dan.,...&Li, Yu.(2021).Variations in the Effects of Landscape Patterns on the Urban Thermal Environment during Rapid Urbanization (1990-2020) in Megacities.REMOTE SENSING,13(17),-. |
| MLA | Ye, Haipeng,et al."Variations in the Effects of Landscape Patterns on the Urban Thermal Environment during Rapid Urbanization (1990-2020) in Megacities".REMOTE SENSING 13.17(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。