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Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai

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  • Yunfang Jiang

    (Center for Modern Chinese City Studies, School of Urban and Regional Science, East China Normal University, Shanghai 200062, China
    Institute of Eco-Chongming, Shanghai 202162, China)

  • Shidan Jiang

    (Center for Modern Chinese City Studies, School of Urban and Regional Science, East China Normal University, Shanghai 200062, China
    Institute of Eco-Chongming, Shanghai 202162, China)

  • Tiemao Shi

    (Institute of Spatial Planning and Design, Shenyang Jianzhu University, Shenyang 110168, China)

Abstract

Different structural patterns of waterfront green space networks in built-up areas have different synergistic cooling characteristics in cities. This study’s aim is to determine what kinds of spatial structures and morphologies of waterfront green spaces offer a good cooling effect, combined with three different typical patterns in Shanghai. A multidimensional spatial influence variable system based on the cooling effect was constructed to describe the spatial structural and morphological factors of the green space network. The ENVI-met 4.3 software, developed by Michael Bruse at Bochum, German, was used to simulate the microclimate distribution data, combined with the boosted regression tree (BRT) model and the correlation analysis method. The results showed that at the network level, the distance from the water body and the connectivity of green space had a stronger cooling correlation. The orientation of green corridors consistent with a summer monsoon had larger cooling effect ranges. In terms of spatial morphology, the vegetation sky view factor (SVF) and Vegetation Surface Albedo (VS Albedo ) had an important correlation with air temperature (T), and the green corridor with a 20–25 m width had the largest marginal effect on cooling. These results will provide useful guidance for urban climate adaptive planning and design.

Suggested Citation

  • Yunfang Jiang & Shidan Jiang & Tiemao Shi, 2020. "Comparative Study on the Cooling Effects of Green Space Patterns in Waterfront Build-Up Blocks: An Experience from Shanghai," IJERPH, MDPI, vol. 17(22), pages 1-29, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8684-:d:449526
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    References listed on IDEAS

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    Cited by:

    1. Yunfang Jiang & Jing Huang & Tiemao Shi & Xiaolin Li, 2021. "Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts," IJERPH, MDPI, vol. 18(22), pages 1-28, November.
    2. Guilhardo Barros Moreira de Carvalho & Luiz Bueno da Silva, 2024. "The microclimate implications of urban form applying computer simulation: systematic literature review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 24687-24726, October.
    3. Yunfang Jiang & Jing Huang & Tiemao Shi & Hongxiang Wang, 2021. "Interaction of Urban Rivers and Green Space Morphology to Mitigate the Urban Heat Island Effect: Case-Based Comparative Analysis," IJERPH, MDPI, vol. 18(21), pages 1-29, October.
    4. Shuiyu Yan & Jun Tang, 2021. "Optimization of Green Space Planning to Improve Ecosystem Services Efficiency: The Case of Chongqing Urban Areas," IJERPH, MDPI, vol. 18(16), pages 1-16, August.
    5. Ningcheng Gao & Hui Zhang & Pei Wang & Ling Ning & Nyuk Hien Wong & Haibo Yu & Zikang Ke, 2023. "Research on Microclimate-Suitable Spatial Patterns of Waterfront Settlements in Summer: A Case Study of the Nan Lake Area in Wuhan, China," Sustainability, MDPI, vol. 15(22), pages 1-26, November.
    6. Yanxia Hu & Changqing Wang & Jingjing Li, 2023. "Assessment of Heat Mitigation Services Provided by Blue and Green Spaces: An Application of the InVEST Urban Cooling Model with Scenario Analysis in Wuhan, China," Land, MDPI, vol. 12(5), pages 1-21, April.

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