基于特征因子的食品工业废水排放追踪方法

Source Tracking of Food Industry Wastewater Discharge into Sewers Using Marker Species

摘要:

针对雨水管网中工业废水接入导致的混接污染排放，以及污水管网中工业废水突发的非正常排放冲击问题，选择我国典型农副食品加工及食品制造企业，通过对企业排放废水中候选水质特征因子的稳定性及显著性分析，得出钾、钠、氯化物等无机盐对食品行业废水具有较普遍的表征性，且与电导率具有良好的相关性，为废水排放实时监控提供了可行性.在此基础上,给出了识别食品行业废水排放的无机盐质量浓度和电导率参照值，提出了基于节点水质监测的雨污水管网中工业废水排放追踪定位方法.

关键词:工业废水; 水质特征因子; 污染追踪; 参照质量浓度; 电导率

Abstract:

Misconnected industrial wastewater entry into rainwater pipe network results in the direct sewage discharge into rivers. Additionally, sudden industrial sewage discharge into sewers without treatment would disturb the normal operation of wastewater treatment plants. To trace the unexpected industrial discharge sources, with food manufacturing as the typical industrial trades, the chemical markers to indicate such kind of contamination were screened. For the selected agricultural and sideline processing or food manufacturing enterprises in China, it was found that potassium, sodium and chloride were ideal markers from the perspective of conservative and significant behavior. Specially, potassium and chloride have a good positive relationship with electric conductivity, providing feasibility for real-time monitoring of industrial wastewater discharge. With these markers, benchmark concentrations to indicate industrial flow of food manufacturing were presented. Accordingly, the method to locate industrial flow source was also proposed based on monitoring at manholes or junctions of urban drainage network.

Key words:industrial wastewater; chemical markers; pollution source tracking; benchmark concentration; electric conductivity