MIAOWei-bo,LIUGuo-qing,WANGRong-he.A Method for Numerical Diagnosis of Sewage Pipe Network Based on Coupling of Model and Water Quality Characteristic Factors[J].China Water & Wastewater,2023,39(5):60-66.
A Method for Numerical Diagnosis of Sewage Pipe Network Based on Coupling of Model and Water Quality Characteristic Factors
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第39卷
Number:
第5期
Page:
60-66
Column:
Date of publication:
2023-03-01
- Keywords:
- pipe network model; water quality characteristic factor; numerical diagnosis; pipe network hospital; inflow and infiltration
- Abstract:
- This paper proposed the numerical diagnosis method “pipe network hospital” based on the combination of pipe network model and multi-parameter intelligent online monitoring equipment, which was capable of analyzing the attributes of static facilities and solving the topology and status problems of pipe network. In addition, the method could also analyze the dynamic operational data to solve the monitoring and operational problems of pipe network. The spatial distribution of sewage pipe network inflow and infiltration in the service area of a sewage treatment plant in Shunde District, Foshan City was analyzed, and the volumes of sewage overflow and inflow caused by external water were calculated. There were 81 overflow discharge outlets, 2 isolated pipe sections, 1 large pipe connecting small pipe and 1 reverse slope pipe section in the main sewage pipe network. The sewage treatment plant was operated at a high water level for most of time, resulting in sewage overflow. Therefore, the current water depth of the terminal manhole should be reduced from 7.50 m to 6.22 m to ensure that no sewage overflow occurred at each overflow mouth in the dry season. In the local section which accounted for 6.7% of the total length of the sewage pipe network, the inflow caused by external water accounted for 47.3% of the total inflow. Therefore, repairing the three sections of sewage pipe network with serious or relatively serious inflow problems could significantly reduce the inflow level of the entire network system.
Last Update:
2023-03-01