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Effects of Green Space Patterns on Urban Thermal Environment at Multiple Spatial–Temporal Scales

Author

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  • Yu Song

    (Institute of Remote Sensing and Earth Sciences, College of Science, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China)

  • Xiaodong Song

    (College of Geomatics & Municipal Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China)

  • Guofan Shao

    (Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN 47907, USA)

Abstract

Land use/land cover (LULC) pattern change due to human activity is one of the key components of regional and global climate change drivers. Urban green space plays a critical role in regulating urban thermal environment, and its cooling effect has received widespread attention in urban heat island (UHI) related studies. To fully understand the effects of the landscape pattern of an urban green space in regulating the urban thermal environment, it is necessary to further study the thermal effects of the landscape pattern of the urban green space and its characteristics under varied spatial–temporal scales. In this paper, we took the urban core area of Hangzhou City as the study area and analyzed the relationships between the landscape metrics of the urban green space and land surface temperature (LST) under varied spatial scales by using correlation analysis and redundancy analysis (RDA) methods. Multi-temporal Landsat 8 thermal infrared sensor data were used to retrieve the spatial and temporal dynamics of LSTs in four consecutive seasons, and the land use classification was interpreted using SPOT (Systeme Probatoire d’Observation de la Terre) satellite imagery. The results showed that landscape dominance metrics—e.g., percentage of landscape (PLAND) and largest patch index (LPI)—were the most influential factors on urban LST. The spatial configuration of urban landscape, as represented by the fragmentation and aggregation and connectedness, also showed significant effects on LST. Furthermore, landscape pattern metrics had varied spatial scale effects on LST. Specifically, the landscape dominance metrics of urban forest showed an increased influence on LST as the spatial scale increased, while for urban water, the trend was opposite. These findings might have some practical significance for urban planning about how to spatially arrange urban green space to alleviate UHI at local and regional scales.

Suggested Citation

  • Yu Song & Xiaodong Song & Guofan Shao, 2020. "Effects of Green Space Patterns on Urban Thermal Environment at Multiple Spatial–Temporal Scales," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6850-:d:402995
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    Cited by:

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    2. Joanna Badach & Jakub Szczepański & Wojciech Bonenberg & Jacek Gębicki & Lucyna Nyka, 2022. "Developing the Urban Blue-Green Infrastructure as a Tool for Urban Air Quality Management," Sustainability, MDPI, vol. 14(15), pages 1-29, August.
    3. Luoyang Wang & Yao Li & Hao Hou & Yan Chen & Jinjin Fan & Pin Wang & Tangao Hu, 2022. "Analyzing spatial variance of urban waterlogging disaster at multiple scales based on a hydrological and hydrodynamic model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1915-1938, November.
    4. Chen Qu & Wen Li & Jia Xu & Song Shi, 2023. "Blackland Conservation and Utilization, Carbon Storage and Ecological Risk in Green Space: A Case Study from Heilongjiang Province in China," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    5. Chunyu Chen & Linglan Bi & Kuanfan Zhu, 2021. "Study on Spatial-Temporal Change of Urban Green Space in Yangtze River Economic Belt and Its Driving Mechanism," IJERPH, MDPI, vol. 18(23), pages 1-20, November.
    6. Mingjun Sun & Xinyi Zhao & Yun Wang & Zeqi Ren & Xin Fu, 2023. "Factors Affecting the High-Intensity Cooling Distance of Urban Green Spaces: A Case Study of Xi’an, China," Sustainability, MDPI, vol. 15(8), pages 1-13, April.
    7. Amit Kumar & Vivek Agarwal & Lalit Pal & Surendra Kumar Chandniha & Vishal Mishra, 2021. "Effect of Land Surface Temperature on Urban Heat Island in Varanasi City, India," J, MDPI, vol. 4(3), pages 1-10, August.

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