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作者

Qun Ma;Jianguo Wu;Chunyang He;Guohua Hu

来源

LANDSCAPE AND URBAN PLANNING,Vol.187,Issue1,P.132-144

语言

英文

关键字

Urban impervious surfaces;Spatial scaling;Spatial extent;City size;Hierarchical approach;China

作者单位

Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;School of Life Sciences, School of Sustainability, and Julie Ann Wrigley Global Institute of Sustainability, Arizona State University, Tempe, AZ 85287, USA;Key Lab of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China;Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;School of Life Sciences, School of Sustainability, and Julie Ann Wrigley Global Institute of Sustainability, Arizona State University, Tempe, AZ 85287, USA;Key Lab of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China

摘要

Urban impervious surfaces (UIS) influence the structure and function of urban systems, and are widely considered a key indicator of urban environmental conditions. However, the amount and pattern of UIS both change with spatial scale, which complicates the computation and interpretation of UIS as an indicator. A better understanding of the spatial scaling relations of UIS is needed to resolve this predicament. Thus, the main objective of this study was to explore how UIS would change with increasing spatial extent and population size across urban hierarchical levels, using data from the three largest urban agglomerations in China. In addition, a comparative analysis of six world metropolitan regions was conducted to test the generality of the UIS scaling relations. Scalograms and standardized major axis regression were used to investigate the scaling relations with respect to spatial extent and city size, respectively. Our major findings include: (1) the total amount of UIS increased, whereas the percentage of UIS decreased, in a staircase-like fashion when the spatial extent of analysis expanded from within a local city to the entire urban agglomeration; (2) the spatial scaling of UIS followed a rather consistent and tight power law function within a local city, but became less consistent and less tight beyond a local city; (3) the scaling relations of the total amount of UIS were more consistent than those of the percentage of UIS, and the total amount of UIS scaled more tightly with urban area than with urban population size. These findings shed new light on the scale dependence of UIS, suggesting that a multiscale approach should be adopted for quantifying UIS and for using it as an urban environmental indicator.