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中国超大城市城市热岛上的绿地降温效应:增加覆盖面与优化空间分布

Chao Xu¹, Qianyuan Huang², Dagmar Haase^1,3

¹Institute of Geography, Humboldt University of Berlin, Berlin 12489, Germany.

Environmental science & technology

|March 19, 2024

概括

增加绿色空间 (GS) 覆盖面和优化其分布可显著降低城市区域的冷却. 结合这两种策略,可以为城市的减热带来协同效益.

科学领域:

城市气候学城市气候学
环境科学环境科学
地理信息系统地理信息系统

背景情况:

全球变暖需要城市热岛缓解战略.
绿色空间 (GSs) 对城市冷却至关重要,但它们的比较有效性和相互作用需要进一步研究.
了解GS特征与土地表面温度 (LST) 之间的关系对于有效的城市规划至关重要.

研究的目的:

量化绿地覆盖面和土地表面温度 (LST) 上的空间分布的单独和综合的冷却效率.
建立一个强大的模型来分析绿色空间对城市热环境的影响.
为城市绿色规划提供指导,以减轻热量.

主要方法:

利用移动窗口方法和随机森林算法来建模GS和LST之间的关系.
模拟了LST对不同GS覆盖面和空间分布的反应.
开发了一个强大的模型,R2 = 0.89 ± 0.01,用于根据GS特征预测LST.

主要成果:

随着GS覆盖率的增加,平均LST降低了高达4.73°C.
优化GS空间分布导致LST降低1.06°C.
当将两种措施结合起来时,观察到一个协同的冷却效应,从而提供了额外的LST减少.

结论:

更高的绿地覆盖面和更公平的空间分布是有效的城市减热.
增加覆盖率和优化分配的联合策略提供了协同的冷却效益.
结果支持基于证据的城市绿色规划,以提高热舒适度和弹性.

关键词:

随机森林模型随机森林模型城市热量减缓城市热量减缓冷却效应的冷却效应是什么绿色空间覆盖面的覆盖范围空间分布的空间分布有协同效应的效应.

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