Distribution and Risk Assessment of 23 Representative Emerging Pollutants in Water Supply System in a Coastal City of Northern China
In recent years,with the economic and social development in our country,the attention of the public to emerging pollutants has been increasing,and the emerging pollutants treatment has been elevated to the national strategy level.However,the research on the distribution characteristics of emerging pollutants in China are mainly concentrated in the river,aquaculture areas,and wastewater treatment plants of southern region.In this paper,the entire water supply process of a typical resource-based water shortage coastal city in northern China was selected as the research object.Four main sources including local runoff water,Yellow River water,and the South to North Project water,emergency seawater desalination water were selected,four main water treatment plants and two representative pipe network sampling points were selected,and 23 representative emerging pollutants were detected by using gas chromatography,gas chromatography-mass spectrometry,and liquid chromatography-mass spectrometry,and studied the distribution characteristics.The human health risk assessment was introduced to evaluate the risk of emerging pollutants in water.The detection results showed that two sampling points located at the two sources of local runoff water and Yellow River water mixed with South to North Project water respectively contained 4 and 2 antibiotic-type emerging pollutants,with concentrations ranging from 18 ng/L to 56 ng/L,and the human health risk quotient was 7.7×10-4 to 5.4×10-3,which was at a low risk level.No representative emerging pollutants were detected in the treatment plants effluent water and pipe network water,indicating that the ozone-activated carbon deep treatment process and membrane treatment process can effectively remove the detected antibiotic-type emerging pollutants and reduce the risk of emerging pollutants in drinking water.
whole water supply processemerging pollutantantibioticsdistribution characteristicshuman health risk assessment
国家科技期刊平台
NSTL
万方数据
