结合生态毒性数据和外推模型推导乙二醇的海洋生物水质基准

张敏霞, 崔艺潇, 李昭川, 靳非, 王莹, 崔修鑫, 曹硕, 丛艺, 张明兴, 娄亚迪, 姚子伟. 结合生态毒性数据和外推模型推导乙二醇的海洋生物水质基准[J]. 生态毒理学报, 2024, 19(6): 21-34. doi: 10.7524/AJE.1673-5897.20240912001
引用本文: 张敏霞, 崔艺潇, 李昭川, 靳非, 王莹, 崔修鑫, 曹硕, 丛艺, 张明兴, 娄亚迪, 姚子伟. 结合生态毒性数据和外推模型推导乙二醇的海洋生物水质基准[J]. 生态毒理学报, 2024, 19(6): 21-34. doi: 10.7524/AJE.1673-5897.20240912001
ZHANG Minxia, CUI Yixiao, LI Zhaochuan, JIN Fei, WANG Ying, CUI Xiuxin, CAO Shuo, CONG Yi, ZHANG Mingxing, LOU Yadi, YAO Ziwei. Deriving Water Quality Criteria of Ethylene Glycol for Marine Organisms by Combining Ecotoxicity Data and Extrapolation Model[J]. Asian journal of ecotoxicology, 2024, 19(6): 21-34. doi: 10.7524/AJE.1673-5897.20240912001
Citation: ZHANG Minxia, CUI Yixiao, LI Zhaochuan, JIN Fei, WANG Ying, CUI Xiuxin, CAO Shuo, CONG Yi, ZHANG Mingxing, LOU Yadi, YAO Ziwei. Deriving Water Quality Criteria of Ethylene Glycol for Marine Organisms by Combining Ecotoxicity Data and Extrapolation Model[J]. Asian journal of ecotoxicology, 2024, 19(6): 21-34. doi: 10.7524/AJE.1673-5897.20240912001

结合生态毒性数据和外推模型推导乙二醇的海洋生物水质基准

    作者简介: 张敏霞(1981—),女,硕士,高级工程师,研究方向为海洋环境评价技术和环保设计研究,E-mail:zhangmx9@cnooc.com.cn
    通讯作者: 靳非(1984-),男,硕士,高级工程师,主要研究方向为海洋生态毒理学和海洋生物水质基准。E-mail:fjin@nmemc.org.cn; 
  • 基金项目:

    海洋油气开发生产水环境风险因子解析及环保对策研究;国家环境保护近岸海域生态环境重点实验室开放研究课题基金(202309)

  • 中图分类号: X171.5

Deriving Water Quality Criteria of Ethylene Glycol for Marine Organisms by Combining Ecotoxicity Data and Extrapolation Model

    Corresponding author: JIN Fei, fjin@nmemc.org.cn
  • Fund Project:
  • 摘要: 乙二醇是海洋油气开发行业的重点关注污染物,作为水合物抑制剂使用并随生产水持续大量排放入海,其生态风险不容忽视。本研究在对乙二醇的水生生物毒性数据进行收集、筛选和评价的基础上,有针对性地选取关键营养级典型海洋模式生物黑点青鳉(Oryzias melastigma)和日本虎斑猛水蚤(Tigriopus japonicus)开展毒性实验,并利用种间相关估计模型(interspecies correlation estimation model, ICE)预测了乙二醇对4种我国本土海洋生物的急性毒性。在此基础上,应用物种敏感度分布法(species sensitivity distribution approach, SSD)和最终急-慢性毒性比法(final acute-chronic toxicity ratio method, FACR)使用我国本土水生生物毒性数据推导了乙二醇的海洋生物水质基准。结果显示,基于毒理学实验数据和ICE模型预测数据推导的乙二醇短期海洋生物水质基准为2 498 mg·L-1,与仅基于毒理学实验数据推导的结果(2 263 mg·L-1)接近;基于短期海洋生物水质基准,利用FACR方法推导的乙二醇长期海洋生物水质基准分别为313 mg·L-1和284 mg·L-1。结果表明,ICE模型和FACR方法应用于乙二醇的海洋生物水质基准推导具有较强的可行性。研究结果有望为乙二醇海洋环境管理目标的设定提供科学参考。
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  • 收稿日期:  2024-09-12
张敏霞, 崔艺潇, 李昭川, 靳非, 王莹, 崔修鑫, 曹硕, 丛艺, 张明兴, 娄亚迪, 姚子伟. 结合生态毒性数据和外推模型推导乙二醇的海洋生物水质基准[J]. 生态毒理学报, 2024, 19(6): 21-34. doi: 10.7524/AJE.1673-5897.20240912001
引用本文: 张敏霞, 崔艺潇, 李昭川, 靳非, 王莹, 崔修鑫, 曹硕, 丛艺, 张明兴, 娄亚迪, 姚子伟. 结合生态毒性数据和外推模型推导乙二醇的海洋生物水质基准[J]. 生态毒理学报, 2024, 19(6): 21-34. doi: 10.7524/AJE.1673-5897.20240912001
ZHANG Minxia, CUI Yixiao, LI Zhaochuan, JIN Fei, WANG Ying, CUI Xiuxin, CAO Shuo, CONG Yi, ZHANG Mingxing, LOU Yadi, YAO Ziwei. Deriving Water Quality Criteria of Ethylene Glycol for Marine Organisms by Combining Ecotoxicity Data and Extrapolation Model[J]. Asian journal of ecotoxicology, 2024, 19(6): 21-34. doi: 10.7524/AJE.1673-5897.20240912001
Citation: ZHANG Minxia, CUI Yixiao, LI Zhaochuan, JIN Fei, WANG Ying, CUI Xiuxin, CAO Shuo, CONG Yi, ZHANG Mingxing, LOU Yadi, YAO Ziwei. Deriving Water Quality Criteria of Ethylene Glycol for Marine Organisms by Combining Ecotoxicity Data and Extrapolation Model[J]. Asian journal of ecotoxicology, 2024, 19(6): 21-34. doi: 10.7524/AJE.1673-5897.20240912001

结合生态毒性数据和外推模型推导乙二醇的海洋生物水质基准

    通讯作者: 靳非(1984-),男,硕士,高级工程师,主要研究方向为海洋生态毒理学和海洋生物水质基准。E-mail:fjin@nmemc.org.cn; 
    作者简介: 张敏霞(1981—),女,硕士,高级工程师,研究方向为海洋环境评价技术和环保设计研究,E-mail:zhangmx9@cnooc.com.cn
  • 1. 中海油研究总院有限责任公司, 北京 100028;
  • 2. 国家海洋环境监测中心 国家环境保护近岸海域生态环境重点实验室, 大连 116023
基金项目:

海洋油气开发生产水环境风险因子解析及环保对策研究;国家环境保护近岸海域生态环境重点实验室开放研究课题基金(202309)

摘要: 乙二醇是海洋油气开发行业的重点关注污染物,作为水合物抑制剂使用并随生产水持续大量排放入海,其生态风险不容忽视。本研究在对乙二醇的水生生物毒性数据进行收集、筛选和评价的基础上,有针对性地选取关键营养级典型海洋模式生物黑点青鳉(Oryzias melastigma)和日本虎斑猛水蚤(Tigriopus japonicus)开展毒性实验,并利用种间相关估计模型(interspecies correlation estimation model, ICE)预测了乙二醇对4种我国本土海洋生物的急性毒性。在此基础上,应用物种敏感度分布法(species sensitivity distribution approach, SSD)和最终急-慢性毒性比法(final acute-chronic toxicity ratio method, FACR)使用我国本土水生生物毒性数据推导了乙二醇的海洋生物水质基准。结果显示,基于毒理学实验数据和ICE模型预测数据推导的乙二醇短期海洋生物水质基准为2 498 mg·L-1,与仅基于毒理学实验数据推导的结果(2 263 mg·L-1)接近;基于短期海洋生物水质基准,利用FACR方法推导的乙二醇长期海洋生物水质基准分别为313 mg·L-1和284 mg·L-1。结果表明,ICE模型和FACR方法应用于乙二醇的海洋生物水质基准推导具有较强的可行性。研究结果有望为乙二醇海洋环境管理目标的设定提供科学参考。

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