在Python (ASLUM-Py) 中使用亚利桑那州单层城市树冠模型建模城市土地表面动态.
Negar Rahmatollahi1, Yihang Wang1, Ting Sun2
1School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, USA.
Journal of environmental management
|August 7, 2025
概括
一个新的城市土地表面模型,ASLUM-Py,有助于测试减热策略. 有灌的城市树木在减少城市热量和改善生态系统健康方面最有效.
科学领域:
- 城市生态学 城市生态学
- 环境建模环境建模
- 适应气候变化 适应气候变化
背景情况:
- 由于全球气候变化,城市生态系统面临着重大的环境挑战.
- 有效的可持续城市规划需要了解和管理城市土地表面的动态.
研究的目的:
- 在 Python 平台上开发和验证一个新的城市土地表面模型,亚利桑那州单层城市天花板模型 (ASLUM-Py).
- 通过使用开发的模型,评估城市环境中不同减热策略的有效性.
- 确定最佳的基于自然的解决方案,以减少城市热岛效应.
主要方法:
- 在Python平台 (ASLUM-Py) 上开发亚利桑那州单层城市天花板模型 (ASLUM).
- 模拟复杂的城市环境相互作用,使用用户友好的图形界面.
- 评估包括白色屋顶,灌和亚利桑那州城的城市树木在内的减热策略.
主要成果:
- 所有经过测试的减热策略 (白色屋顶,灌,城市树木) 都有效地降低了土地表面的温度.
- 城市树木与战略灌相结合,成为首选的以自然为基础的解决方案.
- ASLUM-Py模型证明了它在评估和改进城市减热策略方面的实用性.
结论:
- 战略城市绿化举措,特别是城市树木和灌,对于打击城市过度高温至关重要.
- ASLUM-Py模型为城市规划者提供了一种有价值的工具,帮助他们制定有效的气候变化适应战略.
- 通过以自然为基础的解决方案促进生态福祉,提高了快速增长的城市地区的弹性.
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