透沟的改进分析随机模型用于雨水量控制
Jun Wang1, Yijiao Diao1, Shengle Cao1
1School of Civil Engineering, Shandong University, Jinan 250061, China.
The Science of the total environment
|August 27, 2023
概括
一个改进的分析随机模型 (ASM) 增强了透沟设计,以实现低影响开发 (LID). 这个模型准确地预测了排水减少,改善了雨水管理和海绵城市建设.
科学领域:
- 水文学的水文学
- 环境工程 环境工程
- 城市规划 城市规划
背景情况:
- 透沟是减少排水和改善水质的关键低影响开发 (LID) 措施.
- 在某些条件下,传统的分析随机方法 (ASM) 可能会高估透沟的性能.
- 在LID水文设计中使用核密度估计 (KDE) 需要进一步研究.
研究的目的:
- 开发一个改进的分析随机模型 (ASM),用于透沟的水文设计.
- 将KDE纳入用于降雨事件表征和修改的存储容量公式.
- 提高ASM用于评估沟性能的准确性和适用性.
主要方法:
- 开发了一种改进的ASM,集成基于KDE的降雨分析和修改后的有效存储容量公式.
- 使用连续模拟结果校准,验证并应用改进的ASM.
- 分析了九个中国城市的众多设计案例,考虑了土壤,沟大小,面积比和气候.
主要成果:
- 与传统的ASM相比,改进的ASM显示了显著更高的准确性,R平方值提高了高达71%.
- 通过与连续模拟结果进行比较,验证了准确性.
- 确定了土壤类型,沟储存深度,面积比和气候对性能的影响.
结论:
- 改进的ASM提供了一个快速而准确的方法来评估透沟的水量控制性能.
- 该模型为海绵城市倡议和可持续的城市雨水管理提供了有价值的科学指导.
- 改进后的模型克服了传统方法的局限性,提高了水文设计的准确性.
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