优化基于自然的解决方案来减轻城市洪水风险:波兰格但斯克的一个多目标遗传算法方法
Anahita Azadgar1, Artur Gańcza2, Sina Razzaghi Asl3
1Department of Urban Architecture and Waterscape, Faculty of Architecture, Gdańsk University of Technology, Gdańsk, Poland.
The Science of the total environment
|January 19, 2025
概括
基于自然的解决方案 (NbS) 通过改善水留和减少排水,优化城市的抗洪能力. 战略性地放置NbS可以提高整个城市的可持续性,并有效地减轻洪水影响.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 适应气候变化 适应气候变化
背景情况:
- 由于气候变化和快速城市化,城市洪水风险正在增加.
- 基于自然的解决方案 (NbS) 为管理这些风险提供了一种可持续的方法.
- 优化NbS空间部署是城市恢复力的关键.
研究的目的:
- 为波兰格但斯克的14种NbS类型的空间分配开发一个优化框架.
- 为了减轻城市暴雨洪水风险并提高抗灾能力.
- 为了平衡成本效益和水容量.
主要方法:
- 使用了基因算法和InVEST UFRM模型.
- 确定了脆弱的城市区域,并优化了NbS的配置.
- 评估了多个目标,包括降低成本,最大限度地保持水分.
主要成果:
- 提出了三个方案:具有成本效益,高保留率和平衡的NbS解决方案.
- 显著改善了水留,在最佳情况下可达15.5%.
- 突出较密集的城市地区从有针对性的NbS干预中受益最多.
结论:
- 优化NbS放置对于有效的城市洪水风险减轻至关重要.
- 整合NbS增强了城市的抗灾能力,可持续性和长期的洪水管理.
- 调查结果为城市规划者提供了可行的策略,以应对洪水风险.
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