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.
Int J Environ Res Public Health. 2021 Nov 13;18(22):11917. doi: 10.3390/ijerph182211917.
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.
城市滨河地区绿廊格局为城市提供了不同的蓝绿空间协同降温效应。本研究旨在量化滨河块状区域绿廊空间形态对降温效果的影响。选择了三种具有代表性的模式(辐射状、网格状和树枝状)。通过 Envi-met4.4.5 模拟数据和统计分析方法(如回归树模型(BRT))相结合,处理了绿廊空间结构和形态的多维因素与 Ta(空气温度)分布之间的综合影响分析。结果表明,D(距河岸的距离)对各带绿地的降温效果影响最大。D 在 600-750m 范围内受蓝绿空间降温效果的影响;与盛行风向(南北)平行或大致相同方向的绿廊具有较好的降温效果。当绿廊宽度为 20-25m 时,冷却的边际效应(ME)最大;在 30-35m(走廊宽度)时,冷却的整体 ME 最好;当绿廊的 dPC(降低概率连通性,这里采用该指数来描述连通度)在 0.5-1.5 范围内时,可以显著提高绿廊的降温效果。当 dPC 为 1.5 时,其对温度的边际效应达到最大值。该研究为蓝绿空间对 UCI(城市冷岛)分布的形态影响提供了定量相关技术,可为城市滨河地区绿廊的空间布局控制提供指导。