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Enhancing Confidence in Drinking Water Quality for Improved Risk Decisions

机译:增强对饮用水水质的信心,以改善风险决策

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摘要

Reliance is often placed on "indirect" indicators to detect changes in water quality in real time. However, there are challenges in using these indirect indicators, as they cannot replace standardized laboratory tests. As an alternative, reliance on three successive test cases is examined, based on "joint and conditional probabilities" of hazard (contaminant level exceeding acceptable level) that could enhance confidence in monitoring results: (ⅰ) a simple and quick screening analysis sensor (primary analyzer, having type-1 error, i.e., α - 0.10 and type-2 error, i.e., β = 0.05), (ⅱ) a repeat of the analysis with the same rapid analyzer is feasible, and (ⅲ) further analysis of the sample with a highly reliable capability is feasible (secondary analyzer with α = 0.05 and β = 0.02). This three-level monitoring protocol for obtaining the posterior probability of hazard is examined and a method is proposed for taking improved risk management decisions by accounting for sensitivity and specificity of monitoring instruments. The revised probability of hazard will ensure that a positive harmful detect is proven false or real with much greater certainty and series of action (or no action) is taken at the earliest.
机译:通常依靠“间接”指标来实时检测水质变化。但是,使用这些间接指标存在挑战,因为它们不能代替标准化的实验室测试。作为替代方案,基于危害(污染物水平超过可接受水平)的“联合和有条件概率”,检查了对三个连续测试案例的依赖,这些条件可以增强对监测结果的信心:(ⅰ)简单快速的筛选分析传感器(主要具有类型1误差(即α-0.10和类型2误差,即β= 0.05)的分析器,(ⅱ)使用相同的快速分析器重复进行分析是可行的,并且(ⅲ)进一步分析具有高度可靠能力的样品是可行的(α= 0.05和β= 0.02的二次分析仪)。研究了用于获取危害的后验概率的三级监视协议,并提出了一种通过考虑监视工具的敏感性和特殊性来制定改进的风险管理决策的方法。修订后的危险概率将确保以更大的确定性证明积极的有害检测被证明是错误的或真实的,并且尽早采取一系列措施(或不采取任何措施)。

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