在街道峡谷中平衡热舒适度和污染物减轻:树木和建筑配置的多目标优化
Xu Li1, Daranee Jareemit2, Jiying Liu3
1School of Thermal Engineering, Shandong Jianzhu University, Jinan, 250101, China.
Environmental science and pollution research international
|October 15, 2025
概括
城市街道峡谷设计面临着热舒适度和空气质量之间的权衡. 这项研究优化了使用新框架的设计,寻找植被.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 建筑物理 建筑物理
背景情况:
- 城市街道峡谷中的行人健康受到热应激和空气污染的影响.
- 城市形态和植被可以减轻这些问题,但涉及复杂的设计权衡.
研究的目的:
- 开发一个全面的框架,以优化城市街道峡谷设计.
- 为了平衡竞争的环境目标,如热舒适度和空气质量.
主要方法:
- 计算流体动力学 (CFD) 建模的街道峡谷与不同的面比,太阳时间,和植被参数 (天花板大小,叶面积密度).
- 引入微气候环境质量指数 (MEQI),整合通用热气候指数 (UTCI) 和污染物度 (K).
- 长短期内存 (LSTM) 网络代理模型与多目标灰狼优化器 (MOGWO) 的合,以实现高效的设计优化.
主要成果:
- 在街道峡谷的热舒适度和空气质量之间存在着显著的非线性权衡.
- 植被的有效性取决于环境,冷却的好处可能会被减少污染物分散所抵消,特别是在高太阳辐射下.
- 优化框架确定了针对不同局部条件的帕雷托最佳解决方案.
结论:
- 开发的框架为城市设计师和规划人员提供了强大的和可转移的决策支持工具.
- 竞争环境目标的定量平衡对于特定于特定环境的高性能街景设计至关重要.
- 了解城市形态,植被和微气候之间的相互作用是改善城市环境质量的关键.
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