title: Screening for over 1000 organic micropollutants in surface water and sediments in the Liaohe River watershed.
abstract: High throughout screening method has gained attractive prospects because it offers a fast and effective approach to obtain a holistic picture of organic micropollutant (OM) pollution in a site specific environment. However, reliability and usefulness of the generated data sets for OM pollution profiles and occurrence levels have not been fully evaluated. In this paper, we screened 1030 OMs in surface water and sediments from the selected rivers of the Liaohe River watershed to (1) examine the usefulness of using qualitative data to gain insights into source identification and (2) further evaluate the reliability of the semi-quantification results in a filed study. The results showed that 81 and 89 OMs at concentrations up to 5670 ng/L and 6714 ng/g were identified in surface water and sediments, respectively. Qualitative data could be used to identify the similarity (or dissimilarity) of pollution sources at different locations for surface water, which could provide insights for source back tracking of water contamination. Accuracy tests showed that our semi-quantification results agree well with those from previously reported values and our target analysis. Though our results for the majority of newly quantified OMs need to be further confirmed, we have demonstrated that this method is suitable for understanding the pollution characteristics and occurrence levels of OMs in the environment for environmental scientists and managers.
authors.affiliation: School of Chemical & Environmental Engineering, China University of Mining & Technology-Beijing, Beijing 100083, China; State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box␣2871, Beijing 100085, China; School of Environment, POPs Research Center, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China.
authors.forename: Qingwei
authors.initials: Q
authors.lastname: Bu
authors.affiliation: Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box␣2871, Beijing 100085, China.
authors.forename: Qian
authors.initials: Q
authors.lastname: Luo
authors.affiliation: Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box␣2871, Beijing 100085, China. Electronic address: dhwang@rcees.ac.cn.
authors.forename: Donghong
authors.initials: D
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box␣2871, Beijing 100085, China.
authors.forename: Kaifeng
authors.initials: K
authors.lastname: Rao
authors.affiliation: State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box␣2871, Beijing 100085, China.
authors.forename: Zijian
authors.initials: Z
authors.lastname: Wang
authors.affiliation: School of Environment, POPs Research Center, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Yu
mesh_terms: D002681:China; D004784:Environmental Monitoring; D019015:Geologic Sediments / Q000737:chemistry*; D009930:Organic Chemicals / Q000032:analysis*; D015203:Reproducibility of Results; D045483:Rivers / Q000737:chemistry*; D014867:Water / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000032:analysis*
chemical_list: D009930:Organic Chemicals; D014874:Water Pollutants, Chemical; D014867:Water
keywords: Cluster analysis; Screening analysis; Semi-quantification; Source identification; Watershed management