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作者

Huanchuna1YangHailina1Yilun Chen;Tunong Chen;Lin Bai;Zhong-Ren Peng

来源

URBAN FORESTRY & URBAN GREENING,Vol.62,Issue1,Article 127154

语言

英文

关键字

Climate health;Risk appraisal;Spatial optimization;Urban heat island

作者单位

College of Landscape Architecture, Nanjing Forestry University, No. 159 Lonpan Road, Nanjing, 210037, China;Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China;College of Civil Engineering, Nanjing Forestry University, No. 159 Lonpan Road, Nanjing, 210037, China;International Center for Adaptation Planning and Design (iAdapt), College of Design, Construction and Planning, University of Florida, Gainesville, FL, 32601, USA;College of Landscape Architecture, Nanjing Forestry University, No. 159 Lonpan Road, Nanjing, 210037, China;Affiliated Brain Hospital of Nanjing Medical University, 264 Guangzhou Road, Nanjing, 210029, China;College of Civil Engineering, Nanjing Forestry University, No. 159 Lonpan Road, Nanjing, 210037, China;International Center for Adaptation Planning and Design (iAdapt), College of Design, Construction and Planning, University of Florida, Gainesville, FL, 32601, USA

摘要

Urban heat islands (UHI) and global climate change pose serious threats to human health, making health risk appraisal of urban space as well as the planning and improvement of green space important research projrcts. Meteorological sites, satellite images, electronic maps, questionnaire survey data, statistical yearbooks, ArcGIS spatial analysis technology, MATLAB matrix analysis technology, remote sensing inversion, and ground-object extraction technology were used in this study to evaluate how changes in Beijing’s urban thermal environment influence the health of residents. A genetic algorithm was used to optimize the simulation of green space, based on which, different measures were proposed to improve planning. The results show that areas of greater UHI impact on respiratory diseases, cardiovascular diseases and emotional health are mainly concentrated south of the North Second Ring Road in central Beijing. Furthermore, low-level influence areas are highly connected and clustered, while the high-level influence areas are distributed in clusters. The intelligent optimization and simulation of green space show that it exhibits a spatial distribution potentially with building green wedges and cooling corridors. Based on apprasial on health risk impact, analysis on health and climate zone, as well as optimization and simulation of green space, measures such as cooling nodes, urban blue axes, green rings, pergolas, and ventilation corridors are proposed to improve the comfort of urban living environments as well as reduce risks associated with health and environment.