HUANGPeng-lan,PANGJing-jin,CHENMing,et al.Model Estimation of External Water Flow and Inflow Location in Sewage Pipe Network[J].China Water & Wastewater,2023,39(5):74-79.
污水管网外水流量与入流位置的模型估算
- Title:
- Model Estimation of External Water Flow and Inflow Location in Sewage Pipe Network
- Keywords:
- sewage pipe network; external water flow; inflow location; model; SWMM; pump station
- 摘要:
- 外水流量的估计和入流点查找是污水管网运行的难题。基于此，首先应用污水管网综合模型，建立了区域内生活和工业用水量、泵站液位、泵站流量和外水流量之间的动态平衡关系，以估计外水流量；再应用污水管网机理模型，在不同外水入侵点假设条件下，计算管网水力状态，并与实际污水管网运行水力状态进行对比，估计污水管网外水入流点的位置。用此方法对某区域进行外水查找，并封堵外水源头后，该区域旱季污水平均流量从2.0×104 m3/d降低到与实际用水量相当的0.5×104 m3/d左右，COD平均浓度从92.4 mg/L提升至290.2 mg/L。其他污染指标如氨氮、TN、TP、SS和VSS等，均获得了3倍以上的提升；污水管网从高液位运行的满管流转变为低液位运行的非满管流。该基于污水管网模型的外水流量和入流位置的估计方法，有助于促进污水管网运行质态的提升和提质增效。
- Abstract:
- The estimation of external water flow and location of inflow point is a difficult problem in sewage pipe network operation. Firstly, the dynamic equilibrium among domestic and industrial water consumption, pump station water level, pump station flow and external water flow was established by using the sewage pipe network comprehensive model, so as to estimate the external water flow. Then, the sewage pipe network mechanism model was applied to calculate the hydraulic state of the pipe network under the assumption of different external water intrusion points, and the operating hydraulic state of the actual sewage pipe network was compared to obtain the estimated location of the external water intrusion point in the sewage pipe network. The method was applied to search the external water in an area. After plugging the source of external water, the sewage flow in this area decreased from the average flow of 2.0×104 m3/d in dry season to approximately 0.5×104 m3/d which was equivalent to the actual water consumption, and the average COD increased from 92.4 mg/L to 290.2 mg/L. Other pollution indicators, such as ammonia nitrogen, TN, TP, SS and VSS, were all increased by more than three times. The sewage pipe network was changed from full pipe flow with high water level to non-full pipe flow with low water level. The method for estimating external water flow and inflow location based on sewage pipe network model is helpful to improve the operational quality of sewage pipe network and improve the quality and efficiency of sewage treatment.
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[1]于晨晖,张梦瑶,李彭,等.基于水力模型优化污水泵站的启停水位[J].中国给水排水,2021,37(1):81.
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[3]汪宙峰,徐建伟,龙沁洪,等.基于GIS的污水管网易爆气体时空分布特征研究[J].中国给水排水,2021,37(15):63.
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GUOXiao-chen,LIMeng,DUPeng-fei,et al.Comparison on Quantitative Evaluation Methods and Indexes of Rainfall Inflow and Infiltration[J].China Water & Wastewater,2022,38(5):133.
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XUETian,SHIXuan,ZHAONan,et al.Migration and Distribution of Sediment in Sewage Sewer Network under Different Confluence Conditions[J].China Water & Wastewater,2023,39(5):107.
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