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中国渤海辽东湾三种多环芳烃的水生预测无效应浓度及概率生态风险评估。

Aquatic predicted no-effect concentration for three polycyclic aromatic hydrocarbons and probabilistic ecological risk assessment in Liaodong Bay of the Bohai Sea, China.

机构信息

Key Laboratory for Ecological Environment in Coastal Areas (SOA), National Marine Environmental Monitoring Center, 42 Linghe Street, Dalian, 116023, China.

出版信息

Environ Sci Pollut Res Int. 2014 Jan;21(1):148-58. doi: 10.1007/s11356-013-1597-x. Epub 2013 Apr 23.

Abstract

Predicted no-effect concentration (PNEC) is often used in ecological risk assessment to determine low-risk concentrations for chemicals. In the present study, native marine species were selected for toxicity testing. The PNECs for three polycyclic aromatic hydrocarbons (PAHs), specifically phenanthrene (Phe), pyrene (Pyr), and benzo[a]pyrene (BaP), were derived from chronic and acute toxicity data with log-normal statistical methods. The achieved PNECs for Phe, Pyr, and BaP were 2.33, 1.09, and 0.011 μg/L, respectively. In Jinzhou Bay and the Shuangtaizi River Estuary of Liaodong Bay in the Bohai Sea, China, the surface water concentrations of the three PAHs were analyzed by gas chromatography-mass spectrometry. Based on two probabilistic ecological risk assessment (PERA) methods, namely probabilistic risk quotient and joint probability curve, the potential risk of Phe, Pyr, and BaP in Jinzhou Bay and Shuangtaizi River Estuary was assessed. The same order of ecological risk (BaP > Phe > Pyr) was found by both models. Our study considered regional characteristics of marine biota during the calculation of PNECs, and the PERA methods provided probabilities of potential ecological risks of chemicals. Within the study area, further research on BaP is required due to its high potential ecological risk.

摘要

预测无效应浓度 (PNEC) 常用于生态风险评估,以确定化学品的低风险浓度。本研究选择了本地海洋物种进行毒性测试。使用对数正态统计方法,从慢性和急性毒性数据中得出了三种多环芳烃(PAHs),即菲(Phe)、芘(Pyr)和苯并[a]芘(BaP)的 PNEC 值。Phe、Pyr 和 BaP 的 PNEC 值分别为 2.33、1.09 和 0.011μg/L。在中国渤海的锦州湾和辽东湾双台子河口,采用气相色谱-质谱法分析了三种 PAHs 的地表水浓度。基于两种概率生态风险评估(PERA)方法,即概率风险商和联合概率曲线,评估了锦州湾和双台子河口 Phe、Pyr 和 BaP 的潜在风险。两种模型均发现生态风险相同的顺序(BaP>Phe>Pyr)。本研究在计算 PNEC 时考虑了海洋生物区系的区域特征,PERA 方法提供了化学品潜在生态风险的概率。在研究区域内,由于 BaP 具有很高的潜在生态风险,因此需要对其进行进一步研究。

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