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制造浪潮:解决水生生态风险评估中评估因素方法的过度保守性
Ren Ding1, Dongbin Wei2, Xiaoli Zhao3
1State Key Laboratory of Regional Environment and Sustainability, Key Laboratory of Microorganism Application and Risk Control, Ministry of Ecology and Environment, School of Environment, Tsinghua University, Beijing, China.
Water research
|December 1, 2025
概括
评估因素方法往往高估了新出现的污染物的生态风险. 使用物种灵敏度分布方法提供更准确的无效预测度 (PNEC),改善环境风险评估.
科学领域:
- 环境毒理学环境毒理学
- 生态毒理学 生态毒理学
- 风险评估 风险评估
背景情况:
- 评估因子 (AF) 方法是生态风险评估 (ERA) 中预测无效度 (PNEC) 的标准,特别是在新出现的污染物 (EC) 中.
- 过于保守的AF值可能会导致系统地高估生态风险.
- 这种保守主义可能会影响监管决策和环境管理战略.
研究的目的:
- 批判性地评估硫甲醇和其他EC的PNEC衍生.
- 为了比较AF衍生的PNEC与来自物种灵敏度分布 (SSD) 方法的PNEC.
- 为更准确的ERA提出进展建议.
主要方法:
- 对使用AF和SSD方法推导的PNEC值进行比较分析.
- 图书统计分析以评估AF衍生PNEC值的采用和引用.
- 关于当前ERA方法的文献综述.
主要成果:
- 对于研究的EC,AF衍生的PNEC值始终比SSD衍生的值低2-3个数量级.
- 确定高生态风险的研究通常依赖于保守的AF衍生PNEC.
- 图书统计分析证实了这些保守价值的广泛采用和引用.
结论:
- 该AF方法的保守主义可能导致不准确的ERA和潜在的监管过度保护.
- SSD方法为PNEC导出提供了更科学准确的方法.
- 提出了方法上的进步和全球PNEC数据库,以提高ERA的准确性和资源分配.
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