LUOKun,SUNLing-kai,MAFang-kai,et al.Evaluation, Diagnosis and Quantitative Analysis of Sewage Pipe Network Based on Water Quality and Quantity Monitoring[J].China Water & Wastewater,2024,40(13):109-114.
Evaluation, Diagnosis and Quantitative Analysis of Sewage Pipe Network Based on Water Quality and Quantity Monitoring
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第40卷
Number:
第13期
Page:
109-114
Column:
Date of publication:
2024-07-01
- Keywords:
- sewage system; pipe network inspection; water quality and quantity monitoring; inflow infiltration; evaluation and diagnosis; quantitative analysis
- Abstract:
- To quickly assess the operational status of a municipal sewage system in the middle and lower reaches of the Yangtze River, the water quality and quantity at pipe network nodes in 8 sewage zones within the service area of the central city’s wastewater treatment plant (WWTP) were monitored and analyzed. By comparing the theoretical sewage flow with the actual monitoring flow, it was determined that the inflow of the WWTP was 1.62 times the theoretical sewage flow, indicating external water infiltration in the sewage system. Using chemical oxygen demand and hardness as indicators of water quality, the infiltration of external water on dry days was analyzed in 8 sewage zones. It was determined that the infiltration on dry days was most severe in sewage zones 2# and 4#, with flows reaching 19 115.36 m3/d and 12 772.25 m3/d, respectively. Through further comparison of the flows during dry and wet days in each sewage zone, as well as analysis of the inflow of external water on rainy days, it was determined that the rainfall inflow per unit area reached 2 933.34 m3/km2 under a rainfall condition of 17.8 mm, indicating a significant issue of rainwater and sewage mixing in sewage zone 2#. Through the evaluation and diagnosis of sewage networks based on water quality and quantity monitoring, rapid identification of network problems, determination of target areas for detailed investigation and defect detection, improvement in network detection efficiency can be achieved.
Last Update:
2024-07-01