Wu Jiangyue, Gao Lin, Jiang Songhua, Jia Ning, Wang Dan, Wu Jin
National Marine Hazard Mitigation Service, Ministry of Natural Resource of the People's Republic of China, Beijing, 100194, China.
Ministry of Ecology and Environment, South China Institute of Environmental Science, Guangzhou, 510655, People's Republic of China.
Environ Sci Pollut Res Int. 2023 Feb;30(8):21654-21660. doi: 10.1007/s11356-022-23612-6. Epub 2022 Oct 22.
Fluoranthene (FLU) has gained much attention in recent years because of its continuous discharge in natural waters and toxicity to aquatic ecosystems. However, it is difficult to control and manage FLU pollution because of the lack of a rational and scientific water quality criteria (WQC) of FLU. To solve these data gaps, the US EPA established an interspecies correlation estimation (ICE) model, which can be utilized to develop the SSD and HC (hazardous concentration, 5th percentile). Moreover, an improved model was developed using a combination of North American ICE models supplemented with China-specific species. In this study, to verify the applicability of the two ICE models, measured acute toxicity data for FLU were obtained from 9 acute toxicity tests using indigenous Chinese aquatic species from different taxonomic levels. Original and improved ICE-based SSD curves, which were generated using 3 surrogate species (Daphnia magna, Oncorhynchus mykiss, and Lepomis macrochirus), were compared with SSD curves based on measured data. The results showed that HC was 1.838, 1.062, and 0.570 mg/L for the original ICE, improved ICE, and measured data, respectively. The improved ICE-based HC value for FLU was within twofold of the HC value based on measure data, while the original ICE-based HC value was threefold higher than the HC value based on measure data. This indicated that the improved ICE had better predictability in extrapolating data with acceptable deviation than the original ICE. Furthermore, their differences between HC derived from two SSD curves were not significant. Generally, the improved ICE model was verified as a valid approach for generating SSDs with limited toxicity data and for deriving WQC for FLU.
近年来，荧蒽（FLU）因其在天然水体中的持续排放以及对水生生态系统的毒性而备受关注。然而，由于缺乏合理且科学的荧蒽水质标准（WQC），荧蒽污染难以控制和管理。为解决这些数据缺口，美国环境保护局（US EPA）建立了种间相关性估计（ICE）模型，该模型可用于开发物种敏感度分布（SSD）和危险浓度（HC，第5百分位数）。此外，还开发了一种改进模型，该模型结合了北美ICE模型并补充了中国特有的物种。在本研究中，为验证这两种ICE模型的适用性，从9项使用不同分类水平的中国本土水生物种进行的急性毒性试验中获取了荧蒽的实测急性毒性数据。将使用3种替代物种（大型溞、虹鳟和大口黑鲈）生成的基于原始ICE和改进ICE的SSD曲线与基于实测数据的SSD曲线进行了比较。结果表明，原始ICE、改进ICE和实测数据的HC分别为1.838、1.062和0.570mg/L。基于改进ICE的荧蒽HC值在基于实测数据的HC值的两倍以内，而基于原始ICE的HC值比基于实测数据的HC值高三倍。这表明改进ICE在以可接受偏差外推数据方面比原始ICE具有更好的预测性。此外，两条SSD曲线得出的HC之间的差异并不显著。总体而言，改进ICE模型被验证为一种有效的方法，可用于利用有限的毒性数据生成SSD并推导荧蒽的WQC。
