使用随机森林算法分析城市建筑形态学对土地表面温度的规模依赖效应
1School of Management, Wuhan Donghu University, N301, Wenhua Avenue, Jiangxia District, Wuhan, 430212, People's Republic of China. Hanwq@wdu.edu.cn.
Scientific reports
|November 7, 2023
概括
城市结构对土地表面温度 (LST) 有重大影响. 建筑密度,建筑平均高度和紧度是关键因素,其策略包括增加建筑高度和安排较小的建筑以减轻热量.
科学领域:
- 城市气候学 城市气候学
- 环境科学 环境科学
- 可持续的建筑 可持续的建筑
背景情况:
- 城市密集化需要了解城市结构的热影响,以适应气候的设计.
- 土地表面温度 (LST) 的变化受复杂的城市形态的影响.
研究的目的:
- 量化城市空间因素对LST变化的相对重要性和相互影响.
- 确定最佳的社区规模来评估这些影响.
主要方法:
- 随机森林和部分依赖地块被用来分析关系.
- 六个空间因素 (建筑密度,建筑平均高度等) 在各种网格尺度 (90米至900米) 中计算.
主要成果:
- 建筑密度,平均建筑高度和平均紧度因子对LST表现出稳定,显著的影响,在600米尺度上准确度最高.
- 楼层面积比率和建筑体积密度与LST变化相关性最小.
- 建筑密度对LST有线性积极影响,而建筑平均高度和平均紧度因子与已识别的冷却效应值有非线性相关性.
结论:
- 建筑密度,建筑平均高度和平均紧度因子对于LST监管至关重要.
- 缓解地面热的策略包括控制建筑密度,安排更多小体积建筑,增加建筑高度以增强阴影覆盖.
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