评估环境暴露数据集的相关性
Adam Peters1, Michael Beking2, Leonard Oste3
1wca, Brunel House, Volunteer Way, Faringdon, Oxfordshire, UK.
Integrated environmental assessment and management
|December 15, 2023
概括
本研究引入了环境暴露数据的相关性评估框架,对于评估现有数据集和设计新的监测研究至关重要. 应用该框架可确保数据适用于风险评估和环境决策.
科学领域:
- 环境科学 环境科学
- 风险评估 风险评估
- 环境监测 环境监测
背景情况:
- 环境暴露数据对于评估风险和减轻污染物影响至关重要.
- 与危险数据相比,对暴露数据的现有评估方案有限.
- 之前的工作建立了根据CREED方法对暴露数据的可靠性评估.
研究的目的:
- 在CREED框架内提供对暴露监测数据集相关性评估的概述和实际指导.
- 将相关性定义为数据适用于解决特定环境评估目的的适用性.
- 建立目的定义作为相关性评估和差距分析的基础.
主要方法:
- 开发了一种系统方法来评估环境暴露数据的相关性.
- 定义的相关性标准和评级尺度 (完全满足,部分满足,不满足等). 为了透明度.
- 在淡水水生环境中使用三个案例研究来证明这种方法.
主要成果:
- 相关性评估提供了一个结构化的方法来评估数据的适用性.
- 案例研究说明得分数据是相关的 (有/没有限制),不相关的或不可分配的.
- 该方法适应各种数据特征,包括有机/无机成分和数据质量参数.
结论:
- 系统性相关性评估对于评估现有的环境暴露数据和优化新的监测研究设计至关重要.
- 克里德相关性框架提高了透明度,并支持环境风险评估中的知情决策.
- 从评估中得出的明确差距分析可以识别出数据集对预期目的的局限性.
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