4.7 Article Proceedings Paper

Urban thermal environment dynamics and associated landscape pattern factors: A case study in the Beijing metropolitan region

期刊

REMOTE SENSING OF ENVIRONMENT
卷 173, 期 -, 页码 145-155

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2015.11.027

关键词

Urban thermal environment dynamics; High temperature center; Landscape composition; Landscape configuration; Beijing metropolitan region

资金

  1. National Natural Science Foundation of China [41130534]

向作者/读者索取更多资源

Urbanization has eco-environmental consequences; among which are effects on the urban thermal environment, which have drawn extensive attention especially in metropolitan regions having intensive population and high building density. In this study, the variation of the thermal environment during the urbanization process from 2001 to 2009 in the Beijing metropolitan region was evaluated using the spatial Lorenz curve and distribution index. In addition, the effects of landscape composition and spatial configuration on the thermal environment were investigated using correlation analysis and piecewise linear regression. The urban heat island (UHI) was found to be much more significant in summer than in spring, autumn and winter. Furthermore, the magnitude of the urban thermal environment in Beijing has increased during the process of urbanization. The suburban areas of Beijing, including the new urban development zone and ecological conservation zone, have increased the magnitude of the thermal environment. However, the opposite effect has occurred in the center of Beijing, including the core functional zone and urban function extended zone. Landscape types such as built-up areas and barren land make the most significant contribution to the thermal environment, whereas ecological land plays a significant role in mitigating the UHI. When the coverage of ecological land exceeded 70% (25 km(2)) of the total land area, the cooling efficiency of this landscape type was relatively obvious, and the shape index and fragmentation index of landscape configuration both had a significantly positive correlation (0.594 and 0.510 Pearson's coefficients, respectively) with average land surface temperature. The Pearson's coefficient between the ecological land proportion and the average land surface temperature was 0.614 (P < 0.01); this value was higher than that for the effects of the spatial configuration, indicating that landscape composition affects the thermal environment more than does spatial configuration. (C) 2015 Elsevier Inc. All rights reserved.

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