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基于特征因子的食品工业废水排放追踪方法
引用本文:尹海龙,郭龙天,解铭,徐祖信,赵东华,石泽敏.基于特征因子的食品工业废水排放追踪方法[J].同济大学学报(自然科学版),2019,47(8):1168-1174.
作者姓名:尹海龙  郭龙天  解铭  徐祖信  赵东华  石泽敏
作者单位:同济大学 环境科学与工程学院, 上海 200092,同济大学 环境科学与工程学院, 上海 200092,同济大学建筑设计研究院(集团)有限公司, 上海 200092,同济大学 环境科学与工程学院, 上海 200092,中交上海航道勘察设计研究院有限公司, 上海 200120,中交上海航道勘察设计研究院有限公司, 上海 200120
基金项目:国家水体污染控制与治理科技重大专项课题(2013ZX07304-002)和中央高校基本科研业务费专项资金资助.
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
收稿时间:2018/12/6 0:00:00
修稿时间:2019/1/26 0:00:00

Source Tracking of Food Industry Wastewater Discharge into Sewers Using Marker Species
YIN Hailong,GUO Longtian,XIE Ming,XU Zuxin,ZHAO Donghua and SHI Zemin.Source Tracking of Food Industry Wastewater Discharge into Sewers Using Marker Species[J].Journal of Tongji University(Natural Science),2019,47(8):1168-1174.
Authors:YIN Hailong  GUO Longtian  XIE Ming  XU Zuxin  ZHAO Donghua and SHI Zemin
Institution:College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China,College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China,Tongji Architectural Design (Group) Co., Ltd., Shanghai 200092, China,College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China,Shanghai Waterway Engineering Design and Consulting Co., Ltd., Shanghai 200120, China and Shanghai Waterway Engineering Design and Consulting Co., Ltd., Shanghai 200120, China
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.
Keywords:industrial wastewater  chemical markers  pollution source tracking  benchmark concentration  electric conductivity
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