精细管网资料缺失城区雨洪过程近似模拟方法

Approximate simulation method for stormwater process in urban areas with missing data of fine pipe network

  • 摘要: 为解决精细管网资料缺失城区雨洪模拟中存在的模型物理过程不足、排水能力难以概化、管网溢流倒灌情形难以模拟等问题,提出考虑道路/雨水井排水概化方式+主干管网的精细管网资料缺失城区雨洪过程近似模拟方法。基于GAST-SWMM模型,在二维地表模型中道路/雨水井区域削减水量并将其汇入邻近主干管网雨水节点中进行管网汇流计算,以实现雨洪过程近似模拟。将近似模拟方法应用于河北唐山城市区域,并与精细管网耦合模型、主干管网耦合模型模拟效果进行对比分析。结果表明:在不同降雨重现期下,2种近似模拟方法与精细管网耦合模型的地表积水峰值误差小于20%,管网排水峰值误差小于25%,较主干管网耦合模型分别提高10.2%~32.3%和53.1%~69.8%。表明本文提出的方法可近似表征精细管网排水效果,可为城市区域及其精细管网资料缺失地区的洪涝过程计算提供参考。

     

    Abstract: To address issues in urban stormwater simulation due to the lack of detailed drainage network data, such as insufficient modeling of physical processes, difficulty in generalizing drainage capacity, and challenges in simulating sewer overflow and backflow, a method is proposed for approximate simulation of urban stormwater processes in areas lacking detailed drainage network data. This method incorporates a generalized approach to road/storm drain drainage combined with major trunk networks. Based on the GAST-SWMM Model, the method reduces water volume in the road/storm drain areas of a 2-D surface model and routes it to nearby stormwater nodes of the main trunk network for drainage network calculation, achieving approximate simulation of stormwater processes. The method was applied to an urban area in Tangshan City, Hebei Province, and its effectiveness was compared with that of the detailed drainage network coupling model and the main trunk network coupling model. Results indicate that under different rainfall recurrence intervals, the peak surface water error of the two approximate simulation methods compared to the detailed network coupling model is less than 20%, and the peak drainage error is less than 25%, which is an improvement of 10.2% to 32.3% and 53.1% to 69.8% respectively over the main trunk network coupling model. This demonstrates that the proposed method can approximately represent the drainage effects of detailed networks and provide a reference for flood process calculation in urban areas and regions lacking detailed drainage network data.

     

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