GuoShuai,PengShouhai,ZhaoZhichao,et al.Risk Assessment of Extraneous Water Intrusion in Sewer Networks Based on Dynamic Water Quality Indicators[J].China Water & Wastewater,2026,42(15):117-122.
基于动态水质指标的排水管道外水入侵风险评估
- Title:
- Risk Assessment of Extraneous Water Intrusion in Sewer Networks Based on Dynamic Water Quality Indicators
- 摘要:
- 为突破当前排水管网外水入侵诊断评估的技术瓶颈，提出了可表征外水入侵风险的P值法。该方法可同时考虑外水水量和水质两个因素的影响，并通过将P值离散化，实现动态评估管道内沿程不同位置处的外水入侵风险。通过搭建的全尺寸物理模型试验平台对P值的精度与可行性进行了验证。试验设计了5种外水水量占比和3种浓度比，以温度和电导率为变量参数，共计15组工况。结果发现，在监测点4至监测点7之间，电导率指标计算的风险值为0.00%~3.15%，温度指标计算的风险值为0.00%~7.47%，表明在入侵点后3 m位置处外水与原污水已混合均匀。比较每种工况下两种指标计算的外水入侵风险等级评估结果及外水入侵点识别的准确率，发现同一监测点处电导率指标的灵敏度及准确率均高于温度指标，电导率宜优先作为评估外水入侵风险等级的水质指标。
- Abstract:
- To overcome the current technical bottleneck in diagnosing and assessing extraneous water intrusion in sewer networks, this paper proposed a P-value method that could characterize the probability of extraneous water intrusion risk. This method simultaneously considered the influences of both extraneous water quantity and water quality, and achieved dynamic assessment of intrusion risk at different locations along the pipeline by discretizing the P-value. The accuracy and feasibility of the P-value were verified through a full-scale physical model experimental platform. A total of 15 experimental conditions were designed, involving five levels of extraneous water volume proportion and three concentration ratios, with temperature and electrical conductivity used as variable parameters. The results showed that between monitoring points 4 and 7, the risk values calculated by electrical conductivity ranged from 0.00% to 3.15%, while those calculated by temperature ranged from 0.00% to 7.47%, indicating that extraneous water and native sewage had been uniformly mixed at a location 3 m downstream of the intrusion point. By comparing the risk level assessment results and the identification accuracy of intrusion points for both indicators under each condition, it was found that electrical conductivity exhibited higher sensitivity and accuracy than temperature at the same monitoring point, and thus should be prioritized as the water quality indicator for assessing extraneous water intrusion risk levels.
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