Wastewater Quality And Water Fingerprint Analysis In Industrial Area In South Of China

The pollution from industries in China is severe these days.It will be harmful to the downstream water body and wastewater treatment plants.The usual organic water quality testing metrics cannot judge the pollution type and the type of the organic,while using water print method can both find source and alarm the downstream.This thesis focus on the industrial wastewater in the high background of pipe network.We are trying to find the pollution source in the pipe network,supervise the pollution emission firm and alarm the downstream.In order to improve the efficiency of wastewater treatment plant.Over the long term sampling in pipe network,it is found that the average COD is about 323mg/L;TN is about 17mg/L and TP is about 3.1mg/L.p H is alkaline with average 7.7.Conductivity is about 6.69 ms/cm.Na+ is the main cation and SO42-is the main anion.The wastewater has six main fluorescence peaks.Over the sampling time,the number and position of the fluorescence peaks is stable but the fluorescence intensity changes.Three of the peaks shows good linear dependence.The main plants in the industrial area discharge different kinds of wastewater.The sweetener plant,citric acid factory and dyeing factory discharge high load wastewater,while the wastewaters of flame retardant factory and photovoltaic plant have low concentration.The fluorescence characteristics of these plants are different and the fluorescence characteristics of dyeing factory are mostly same as that in the pipe.By using the parallel method and the least squares method for analysis of three-dimensional fluorescence spectra of sewage pipe network,we can decompose pipe network sewage fingerprint to some extent.The main conclusions are as follows: Method using parallel factor decomposition of four basic components,the main component may contain humic substances and protein-like substances;least square method for industrial waste and pipe network sewage mixed solution draw the corresponding calculation result and quantitatively solve the problem of traceability in complex background.