Greenspace configuration impact on the urban heat island in the Olympic Area of Beijing
- 26 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Environmental Science and Pollution Research
- Vol. 28 (25), 33096-33107
- https://doi.org/10.1007/s11356-020-12086-z
Abstract
As urban green spaces have significant cooling effects on the urban heat island (UHI), a precise understanding of these effects is necessary to devise precise greenspace strategies for abating the UHI. This paper explores the impacts of different greenspace (trees, grass, and water) patterns on the UHI in Beijing’s Olympic Area, using different grid cell sizes and spatial statistical models. Greenspace pattern metrics include percent cover, mean patch size (MPS), mean patch shape index (MSI), edge density (ED), and largest percent index (LPI). The results show that different greenspace metrics have varying effects on surface temperature. The spatial error model (SEM) turns out to be a good choice for estimating the relationship between Land Surface Temperature (LST) and the greenspace metrics. The regression coefficients of these metrics vary with grid cell size. Tree and grass edge densities have opposite effects, which suggest that trees should be planted in smaller clusters, whereas grass should be planted in larger and continuous patches in order to reach maximum LST cooling. The optimal grid cell size is in the [120–240 m] range. These findings can help urban planners mitigate the UHI in a city with limited green space availability.Funding Information
- National Key Research and Development Plan Program in China (2016YFB0501502, 2016YFC0503701)
- Strategic Priority Research Program of Chinese Academy of Sciences (XDA20010202, XDA19040301, XDA23100201)
This publication has 35 references indexed in Scilit:
- Spatial statistical analysis and simulation of the urban heat island in high-density central citiesLandscape and Urban Planning, 2014
- Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptationISPRS Journal of Photogrammetry and Remote Sensing, 2014
- A satellite image-based analysis of factors contributing to the green-space cool island intensity on a city scaleUrban Forestry & Urban Greening, 2014
- Relationship between land surface temperature and spatial pattern of greenspace: What are the effects of spatial resolution?Landscape and Urban Planning, 2013
- The effect of tree shade and grass on surface and globe temperatures in an urban areaUrban Forestry & Urban Greening, 2012
- Spatial pattern of greenspace affects land surface temperature: evidence from the heavily urbanized Beijing metropolitan area, ChinaLandscape Ecology, 2012
- Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapesLandscape and Urban Planning, 2011
- Remote sensing monitoring and driving force analysis of urban expansion in Guangzhou City, ChinaHabitat International, 2010
- Land surface temperature retrieval from LANDSAT TM 5Remote Sensing of Environment, 2004
- The energetic basis of the urban heat islandQuarterly Journal of the Royal Meteorological Society, 1982