城市污水合流溢流系统中非标准薄板堰排放计算数学模型的开发与应用:案例研究

Ming Tang, Yuze Wu, Qianchen Xie, Hui Chen, Wenbin Xu
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引用次数: 0

摘要

本研究旨在解决难以有效评估合流制污水溢流(CSO)污染的问题,尤其是对非标准薄板堰(NTPW)溢流的监测。为了构建城市污水合流溢流系统(UCSOS)中非标准薄板堰的排放计算数学模型(DCMM),以用于构建实时监测和预警系统,首先构建了一个物理模型,以获得三种流动条件(自由流、潜流、加压流)下的水力特征集。然后,通过遗传算法(GA)拟合得到三种流动条件下的系数函数表达式,并建立了 UCSOS 的 DCMM。结果表明,DCMM 具有很高的精度,平均相对误差(MRE)为 0.0326,均方根误差(RMSE)为 1.569,纳什-苏特克利夫效率(NSE)系数为 0.9387。DCMM 不仅可以评估不同流量条件下的排水能力,还可以用于实现可靠、便捷的排水监测。虽然本案例中构建的 DCMM 并不具有普适性,但将物理模型与 GA 结合的建模方法是一种有效的新方法,可用于评估 NTPW 的排放能力,在其他城市也有应用价值。
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Development and application of a mathematical model for calculating the discharge of non-standard thin-plate weirs in urban combined sewer overflow systems: a case study
The aim of this study is to address the issue of difficulty in evaluating the combined sewer overflow (CSO) pollution effectively, especially for the monitoring of overflow from non-standard thin-plate weirs (NTPWs). In order to construct a discharge calculation mathematical model (DCMM) of NTPWs in an urban combined sewer overflow system (UCSOS), which can be used to construct a real-time monitoring and early warning system, a physical model constructed firstly for obtaining hydraulic characteristic sets under three flow conditions (free, submerged, pressurized flow). Then, the coefficient function expressions are obtained under three flow conditions through genetic algorithm (GA) fitting, and a DCMM of UCSOS is established subsequently. The results indicate that DCMM exhibits high accuracy, with mean relative error (MRE) at 0.0326, root mean square error (RMSE) at 1.569, and Nash–Sutcliffe efficiency (NSE) coefficient at 0.9387. The DCMM can not only evaluate the discharge capacity under different flow conditions, but also be used to realize reliable and convenient discharge monitoring. Although the DCMM constructed in this case is not universal, the modeling method of combining physical models with GA is an effective new approach to evaluate the discharge capacity of NTPW, which also holds value for application in other cities.
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