如何规划城市公园和周边建筑以最大限度地发挥降温效果?中国西安案例研究

Land Pub Date : 2024-07-23 DOI:10.3390/land13081117
Tianji Wu, Xuhui Wang, Le Xuan, Zhaoyang Yan, Chao Wang, Chunlei Du, Yutong Su, Jingya Duan, Kanhua Yu
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引用次数: 0

摘要

在夏季城市热岛效应较强的地区,有公园的城区往往具有最佳的室外热舒适度。本研究采用公园降温强度(PCI)、公园降温面积(PCA)、公园降温效应(PCE)和公园降温梯度(PCG)四项降温指标,分析了西安市城六区 94 个城市公园与相邻建成区的协同降温效应。结果表明,94 个公园中有 84 个具有明显的降温效果,平均 PCI 为 1.98 °C,PCA 为 51.7 公顷,PCE 为 6.6,PCG 为 8.2 °C/km。相关分析表明,公园内在属性、外部缓冲区建筑高度和建筑密度是影响降温效果的主要因素。公园景观配置、建筑高度和密度对 PCI 和 PCG 有显著影响,而公园形状和大小则对 PCA(正)和 PCE(负)至关重要。结果表明,改善热环境的最佳公园面积为 26 公顷(冷却面积集中,建筑密度为 32%)。这项研究为基于降温效应的城市公园及周边区域规划提供了理论指导,为未来的气候适应性规划提供了启示。
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How to Plan Urban Parks and the Surrounding Buildings to Maximize the Cooling Effect: A Case Study in Xi’an, China
Urban areas with parks tend to have the best outdoor thermal comfort in regions with high urban heat island effects during summer. This study analyzed the synergistic cooling effects of 94 urban parks and the adjacent built-up areas in six districts of Xi’an City using four cooling indicators: park cooling intensity (PCI), park cooling area (PCA), park cooling effect (PCE), and park cooling gradient (PCG). The results showed that 84 out of 94 parks exhibited significant cooling effects, with an average PCI of 1.98 °C, PCA of 51.7 ha, PCE of 6.6, and PCG of 8.2 °C/km. Correlation analyses indicated that the intrinsic park attributes, external buffer zone building height, and building density were the main factors affecting the cooling effect. The park landscape configuration, building height, and density significantly influenced the PCI and PCG, while the park shape and size were crucial for the PCA (positive) and PCE (negative). The optimal park areas for improving the thermal environment were identified as 26 ha (cooling area focus, building density <13%) and 15 ha (cooling intensity focus, building height <21 m, density >32%). This study provides theoretical guidance for planning urban parks and the surrounding areas based on cooling effects, offering insights for future climate resilience planning.
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