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首页> 外文期刊>Environmental Pollution >Predicting criteria continuous concentrations of 34 metals or metalloids by use of quantitative ion character-activity relationships-species sensitivity distributions (QICAR-SSD) model
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Predicting criteria continuous concentrations of 34 metals or metalloids by use of quantitative ion character-activity relationships-species sensitivity distributions (QICAR-SSD) model

机译:使用定量离子特征-活性关系-物种敏感性分布(QICAR-SSD)模型预测34种金属或准金属的连续浓度标准

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摘要

Criteria continuous concentrations (CCCs) are useful for describing chronic exposure to pollutants and setting water quality standards to protect aquatic life. However, because of financial, practical, or ethical restrictions on toxicity testing, few data are available to derive CCCs. In this study, CCCs for 34 metals or metalloids were derived using quantitative ion character-activity relationships-species sensitivity distributions (QICAR-SSD) and the final acute-chronic ratio (FACR) method. The results showed that chronic toxic potencies were correlated with several physico-chemical properties among eight species chosen, where the softness index was the most predictive characteristic. Predicted CCCs for most of the metals, except for Lead and Iron, were within a range of 10-fold of values recommended by the U.S. EPA. The QICAR-SSD model was superior to the FACR method for prediction of data-poor metals. This would have significance for predicting toxic potencies and criteria thresholds of more metals or metalloids.
机译:标准连续浓度(CCCs)可用于描述污染物长期接触和设定水质标准以保护水生生物。但是,由于对毒性测试的财务,实践或伦理上的限制,很少有数据可用于得出CCC。在这项研究中,使用定量离子特征-活性关系-物种敏感性分布(QICAR-SSD)和最终的急性慢性比率(FACR)方法得出了34种金属或类金属的CCC。结果表明,在选择的8个物种中,慢性毒性效力与几种理化性质相关,其中柔软度指数是最可预测的特征。除铅和铁外,大多数金属的预计CCC值在美国EPA建议值的10倍范围内。 QICAR-SSD模型在预测数据贫乏的金属方面优于FACR方法。这对于预测更多金属或类金属的毒性和标准阈值具有重要意义。

著录项

  • 来源
    《Environmental Pollution》 |2014年第5期|50-55|共6页
  • 作者单位

    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;

    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China,Zoology Department and Center for Integrative Toxicology, Michigan State University, East Lansing, MI 48824, United States;

    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;

    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;

    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;

    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;

    Department of Veterinary Biomedical Sciences and Toxicology Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada,Zoology Department and Center for Integrative Toxicology, Michigan State University, East Lansing, MI 48824, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Aquatic life; Water quality criteria; Chronic toxicity; Predictive model; Multispecies; Species sensitivity distributions;

    机译:水生生物;水质标准;慢性中毒;预测模型;多物种;物种敏感性分布;

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