实时控制技术对合流制排水系统溢流污染削减效果模拟研究

Simulation study on the effect of real-time control technology on reducing overflow pollution in combined drainage system

实时控制技术是当前国内溢流污染控制的研究热点。以北京城市副中心为研究区域,采用Mike Urban模型构建排水数值模型评估管道排水能力,提出了4种特征水位,设计了排水系统实时控制方案,并利用模型对溢流削减效果进行了模拟分析。结果表明:排水系统实时控制方案使合流制溢流(combined sewage overflow,CSO)总量削减了50%~100%,效果明显,排水系统实时控制方案可作为合流制溢流控制工程措施的优选方案,可为城市副中心合流制溢流污染治理工作提供借鉴;在区域管道排水能力确定的前提下,实时控制措施对CSO削减效果主要受场次降雨的降雨量及平均雨强影响,降雨量越小平均雨强越小,控制效果越好;各排水分区CSO削减效果与排水能力大于3年一遇的管线调蓄能力占比存在极强正相关关系,因此在具体工程设计中可基于本研究拟合的两者关系曲线初步判别是否适合利用实时控制技术。

Real-time control technology is a research hotspot in domestic overflow pollution control in China.Taking a sub-center of Beijing as the research area,this paper evaluates the drainage capacity of the pipeline through the drainage numerical model built with Mike Urban,proposes four characteristic water levels,designs the real-time control scheme of the drainage system,and uses the model to simulate and analyze the overflow reduction effect.The results show that the real-time control scheme of drainage system reduces the total amount of combined sewage overflow(CSO)by 50%~100%,and the reduction effect is obvious.The real-time control scheme of drainage system can be used as the optimal scheme for the combined sewage system overflow control engineering measures,and can provide reference for the combined sewage system overflow pollution treatment of the sub-center.On the premise that the drainage capacity of the regional pipeline is determined,the effect of real-time control measures on CSO reduction is mainly affected by the total rainfall of each rainfall,followed by the average rainfall intensity.The smaller the rainfall,and the smaller the average rainfall intensity,the better the control effect.There is a strong positive correlation between the CSO reduction effect of each drainage zone and the proportion of the pipelines with a recurrence period greater than 3 years.Therefore,in the specific engineering design,it is possible to judge whether it is suitable to use real-time control technology based on the relationship curve fitted in this study.