STFS-城市:城市地区的时空洪水模拟模型
Zongkui Guan1, Yiwen Chen1, Yu Zhao1
1Key Laboratory of VGE of Ministry of Education, Nanjing Normal University, Nanjing, 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China.
Journal of environmental management
|October 27, 2023
概括
本研究提出了一种新的时空空间城市洪水模拟模型,集成多尺度数据,以提高抗洪能力. 该模型在雷达降雨逆转和准确的洪水预测方面表现强,这对城市规划至关重要.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 城市规划 城市规划
背景情况:
- 城市化和极端天气事件需要提高城市的抗洪能力.
- 现有的洪水模型往往缺乏多空间时空尺度集成和细粒度模拟能力.
研究的目的:
- 引入一个创新的时空空间城市洪水模拟模型.
- 评估模型在整合多尺度数据和完善洪水模拟方面的有效性.
- 通过先进的建模,增强城市抗洪能力战略.
主要方法:
- 开发了一个包括多尺度雷达降雨逆转 (MRI),细粒度合洪水模拟 (FGCFS) 和变压器-CNN洪水预测 (TCFP) 模块的模型.
- 整合了从7.5到60分钟和100到2000米的时空尺度上的各种数据.
- 用南京城市地区作为案例研究验证了该模型.
主要成果:
- 雷达降雨逆转表现出强的性能 (相关系数>0.8,RMSE <5.2毫米).
- 在FGCFS实现了7.5分钟×500米分辨率 (Nash效率>0.69) 的最佳模拟.
- TCFP表现出高效的学习,误差接近0.002m,适用于低于4米的分辨率.
结论:
- 拟议的模型有效地协调了多尺度数据集成,精制合和动态分配,用于城市洪水模拟.
- 该研究提供了一个复杂的框架和实际解决方案,以提高城市的抗洪能力.
- 这项工作推进了洪水模拟建模,这对环境研究和管理至关重要.
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