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A satellite image-based analysis of factors contributing to the green-space cool island intensity on a city scale
Authors:Fanhua Kong  Haiwei Yin  Cuizhen Wang  Gina Cavan  Philip James
Institution:1. International Institute for Earth System Science (ESSI), Nanjing University, No. 163 Xianlin Road, Nanjing 210046, China;2. Department of Urban Planning and Design, Nanjing University, No. 22 Hankou Road, Nanjing 210093, China;3. Department of Geography, University of Missouri Columbia, Columbia, MO 65203, USA;4. Division of Geography and Environmental Management, School of Science and the Environment, Manchester Metropolitan University, Manchester M1 5GD, UK;5. School of Environment and Life Sciences, University of Salford, Salford M5 4WT, UK;1. International Institute for Earth System Science (ESSI), Nanjing University, No. 163 Xianlin Ave., Nanjing 210023, China;2. Department of Urban Planning and Design, Nanjing University, No. 22 Hankou Road, Nanjing 210093, China;3. School of Environment and Life Sciences, University of Salford, Salford M5 4WT, UK;4. Department of Earth & Environment, Boston University, 685 Commonwealth Avenue, Boston, MA 02215, USA;5. School of Natural Resources, University of Missouri, Columbia, MO 65203, USA;1. Group Building Environmental Research, Physics Department, University of Athens, Athens, Greece;2. Environmental Engineering School, Technical University of Crete, Chania, Crete, Greece;3. The Cyprus Institute, 20 Constantinou Kavafi Street, Nicosia 2121, Cyprus;1. State Key Lab of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, CAS, Beijing 100085, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;1. State Key Lab of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, CAS, Beijing 100085, China;2. University of Chinese Academy of Sciences, CAS, Beijing 100049, China;3. Department of Geography, University of Georgia, Athens, GA 30602, USA
Abstract:Urban green spaces provide cooler microclimates and create localized urban cool islands and, as part of an adaptation strategy to cope with future urban climate change, have been proposed as a means to mitigate the urban heat island effect. Numerous previous research papers have discussed green-space size, type, and vegetation density, as well as many other factors that might influence green-space cooling effects. However, little has been done with regard to exploring and quantifying the characteristics of the green-space cool island (UCI). It is also largely unknown whether or how the patterns of green space and land use, as well as the adjacent urban thermal environment, affect UCIs. In this paper, the land surface temperature (LST) was retrieved from satellite imagery. The UCI was identified, and one of the UCI characteristics, the UCI intensity, was defined. Multiple linear regression models were then used to explore and quantify the combined effects of factors related to the UCI intensity. The results show that the intensity differed between UCIs, and correlated significantly with the extent of and mean temperature reduction associated with an UCI. Multiple linear regression analysis found that UCI intensity was affected by areas of forest vegetation and its spatial arrangements, as well as by the composition of the cool island and its neighboring thermal environment. The study validated the suitability of using intensity as an indicator of the UCI. Identifying the UCI as a result of the green-space cooling effect, will help in the management and planning of the spatial arrangement of green spaces in cities to reduce the effects of the urban thermal environment and help cities adapt to climate change.
Keywords:Cool island intensity  Forest vegetation  Landscape metrics  Urban heat island
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