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Cooling Island Effect of Blue-Green Corridors: Quantitative Comparison of Morphological Impacts

Author

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  • Yunfang Jiang

    (School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
    The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200241, China
    Research Center for China Administrative Division, East China Normal University, Shanghai 200241, China)

  • Jing Huang

    (School of Urban and Regional Science, East China Normal University, Shanghai 200241, China)

  • Tiemao Shi

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

  • Xiaolin Li

    (School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
    The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200241, China)

Abstract

The patterns of green corridors in urban riverfront districts provide different synergistic cooling effects of blue-green space in urban areas. The purpose of this study is to quantify the spatial morphological impact of green corridors in riverfront block-scale area on the cooling effect. Three representative patterns (radiate, grid and dendritic) were selected in the study. The comprehensive influences analysis between multi-dimensional factors of spatial structure and morphology of green corridors and Ta (air temperature) distribution are processed by Envi-met4.4.5 simulation data and statistical analysis methods, such as regression tree model (BRT), were combined. The results showed that the D (distance from riverbank) has the greatest impact on the cooling effect of each belt green space. The D in the range of 600–750 m was affected by the cooling effect of blue-green space; The orientation with parallel to (southeast–northwest) or roughly the same as the prevailing wind direction (north–south) green corridors had relatively better cooling effect. When the width of green corridor was 20–25 m, the ME (marginal effect) of cooling was the largest; at 30–35 m (corridor width), the overall ME of cooling was the best; When the dPC (decreased probability connectivity, here the index was adapted to describe the connectivity degree) of green corridors was in the range of 0.5–1.5, the cooling effect of green corridor could be significantly improved. When dPC is 1.5, its marginal effect on temperature reached the maximum. The study provided a quantitative correlation technology for the morphological influence of blue-green space on the distribution of UCI (urban cooling island), which can guide the spatial layout control of green corridors in the planning and design of urban riverfront district.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:11917-:d:678310
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    References listed on IDEAS

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    1. Yunfang Jiang & Xuemei Han & Tiemao Shi & Danran Song, 2019. "Microclimatic Impact Analysis of Multi-Dimensional Indicators of Streetscape Fabric in the Medium Spatial Zone," IJERPH, MDPI, vol. 16(6), pages 1-31, March.
    2. 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.
    3. 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.
    4. Yu, Hao & Cooper, Arthur R. & Infante, Dana M., 2020. "Improving species distribution model predictive accuracy using species abundance: Application with boosted regression trees," Ecological Modelling, Elsevier, vol. 432(C).
    5. Yunfang Jiang & Danran Song & Tiemao Shi & Xuemei Han, 2018. "Adaptive Analysis of Green Space Network Planning for the Cooling Effect of Residential Blocks in Summer: A Case Study in Shanghai," Sustainability, MDPI, vol. 10(9), pages 1-25, September.
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