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Derivation of water quality criteria of phenanthrene using interspecies correlation estimation models for aquatic life in China

机译:中国水生生物种间相关估计模型的菲水质标准推导

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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.
机译:物种敏感度分布(SSD)方法已被广泛用于得出水质标准(WQC)。但是,某些环境污染物的毒性数据不容易获得,特别是对于濒危和受威胁物种而言。因此,借助于数学模型来预测那些未经过毒性测试的物种的毒性将是非常理想且经济的。种间相关性估计(ICE)模型(由美国环境保护局(USEPA)开发)使用一种物种的初始毒性估计值来产生多种物种的相关毒性值,并且可以用于开发SSD和HC5(危险浓度) ,第5个百分位数)。在这项研究中,我们探索了ICE预测菲对各种物种的毒性的适用性。基于ICE的SSD是使用三种替代物种(Oncorhynchus mykiss,Lepomis macrochirus和Daphnia magna)生成的,并与基于公制的SSD进行了比较。还比较了两个模型的相应HC5。结果表明,从急性测量值和基于ICE的预测值得出的HC5之间没有显着差异。 ICE模型被验证为生成毒性数据有限的SSD并推导WQC菲的有效方法。

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