Derivation of water quality criteria of phenanthrene using interspecies correlation estimation models for aquatic life in China
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  • 作者:Jiangyue Wu ; Zhengtao Liu ; Zhenguang Yan…
  • 关键词:Phenanthrene ; Interspecies correlation estimation (ICE) ; Water quality criteria (WQC) ; Species sensitivity distribution (SSD)
  • 刊名:Environmental Science and Pollution Research
  • 出版年:2015
  • 出版时间:June 2015
  • 年:2015
  • 卷:22
  • 期:12
  • 页码:9457-9463
  • 全文大小:448 KB
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  • 作者单位:Jiangyue Wu (1) (2)
    Zhengtao Liu (1)
    Zhenguang Yan (1)
    Xianliang Yi (1)

    1. State Key Laboratory of Environmental Criteria and Risk Assessment, State Environmental Protection Key Laboratory of Ecological Effect and Risk Assessment of Chemicals, Chinese Research Academy of Environmental Sciences, An Wai Da Yang Fang 8, Chaoyang District, Beijing, 100012, China
    2. College of Water Science, Beijing Normal University, Beijing, 100875, China
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Environment
    Environment
    Atmospheric Protection, Air Quality Control and Air Pollution
    Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
    Industrial Pollution Prevention
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1614-7499
文摘
Species sensitivity distribution (SSD) method has been widely used to derive water quality criteria (WQC). However, the toxicity data of some environmental pollutants are not easily accessible, especially for endangered and threatened species. Thus, it would be very desirable and economical to predict the toxicity of those species not subjected to toxicity test with the aid of a mathematical model. The interspecies correlation estimation (ICE) model (developed by the US Environmental Protection Agency (USEPA)) uses the initial toxicity estimate for one species to produce correlated toxicity values for multiple species, and it can be utilized to develop SSD and HC5 (hazardous concentration, 5th percentile). In this study, we explored the applicability of ICE to predict toxicity of phenanthrene to various species. ICE-based SSDs were generated using three surrogate species (Oncorhynchus mykiss, Lepomis macrochirus, and Daphnia magna) and compared with the metrical-based SSD. The corresponding HC5 of both models were also compared. The results showed there were no significant differences between HC5 derived from measured acute and ICE-based predicted values. The ICE model was verified as a valid approach for generating SSDs with limited toxicity data and deriving WQC for phenanthrene.
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