title: Predicting criteria continuous concentrations of metals or metalloids for protecting marine life by use of quantitative ion characteristic-activity relationships-species sensitivity distributions (QICAR-SSD).
abstract: Marine pollution by metals has been a major challenge for ecological systems; however, water quality criteria (WQC) for metals in saltwater is still lacking. Especially from a regulatory perspective, chronic effects of metals on marine organisms should receive more attention. A quantitative ion characteristic-activity relationships-species sensitivity distributions (QICAR-SSD) model, based on chronic toxicities for eight marine organisms, was established to predict the criteria continuous concentrations (CCCs) of 21 metals. The results showed that the chronic toxicities of various metals had good relationships with their physicochemical properties. Predicted CCCs of six metals (Hg2+, Cu2+, Pb2+, Cd2+, Ni2+and Zn2+) were in accordance with the values recommended by the U.S. EPA, with prediction errors being less than an order of magnitude. The QICAR-SSD approach provides an alternative tool to empirical methods and can be useful for deriving scientifically defensible WQC for metals for marine organisms and conducting ecological risk assessments.
authors.affiliation: State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Qie
authors.affiliation: College of Public Management, Guizhou University of Finance and Economics, Guiyang 550000, China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Chen
authors.affiliation: State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Guo
authors.affiliation: State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address: muys@craes.org.cn.
authors.forename: Yunsong
authors.initials: Y
authors.lastname: Mu
authors.affiliation: State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address: sunfhiae@126.com.
authors.forename: Fuhong
authors.initials: F
authors.lastname: Sun
authors.affiliation: College of Water Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Huanhua
authors.initials: H
authors.lastname: Wang
authors.affiliation: State Key Laboratory of Environment Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
authors.forename: Fengchang
authors.initials: F
authors.lastname: Wu
authors.affiliation: Engineering Innovation Center, Southern University of Science and Technology, Beijing 100083, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Hu
authors.affiliation: The Key Laboratory of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou 510006, China.
authors.forename: Zhi
authors.initials: Z
authors.lastname: Dang
authors.affiliation: State Key Laboratory in Marine Pollution, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China; Department of Veterinary Biomedical Sciences and Toxicology Centre, University of Saskatchewan, Saskatoon S7N 5B3, Canada.
authors.forename: John P
authors.initials: JP
authors.lastname: Giesy
mesh_terms: D000818:Animals; D059001:Aquatic Organisms / Q000187:drug effects; D017753:Ecosystem; D054750:Ecotoxicology / Q000379:methods*; D058955:Metalloids / Q000032:analysis* / Q000633:toxicity; D008670:Metals / Q000032:analysis* / Q000633:toxicity; D008954:Models, Biological; D018570:Risk Assessment / Q000379:methods; D013045:Species Specificity; D036401:Toxicity Tests, Chronic; D014874:Water Pollutants, Chemical / Q000032:analysis* / Q000633:toxicity; D060753:Water Quality
chemical_list: D058955:Metalloids; D008670:Metals; D014874:Water Pollutants, Chemical
keywords: Chronic toxicity; Quantitative ion characteristic–activity relationship; Saltwater; Species sensitivity distribution; Water quality criteria