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Describing water treatment process performance: Why average log-reduction can be a misleading statistic
Philip J Schmidt1, William B Anderson1, Monica B Emelko1
1Department of Civil & Environmental Engineering, University of Waterloo, 200 University Ave. W, Waterloo, Ontario, N2L 3G1, Canada.
Water Research
|April 6, 2020
Summary
Averaging log-reduction values for water treatment overstates performance. This can lead to underestimating risks in drinking water and food safety. Effective log-reduction offers a more accurate measure of treatment efficiency.
Area of Science:
- Environmental Science
- Microbiology
- Public Health
Background:
- Log-reduction quantifies pathogen removal in water treatment, crucial for safe drinking water.
- Averaging log-reduction values is a common practice to summarize treatment performance.
- Misinterpretation of averaged log-reduction can impact safety assessments.
Purpose of the Study:
- To mathematically demonstrate that averaged log-reduction values overstate treatment performance.
- To highlight the consequences of using averaged log-reduction in risk analyses.
- To introduce effective log-reduction as a more accurate summary statistic.
Main Methods:
- Mathematical proof to analyze the statistical properties of averaged log-reduction values.
- Comparison of averaged log-reduction with effective log-reduction.
- Analysis of implications for risk assessment in water and food safety.
Main Results:
- Averaging log-reduction values characteristically overstates the actual average performance.
- Higher reported average log-reduction does not guarantee higher average performance.
- Risk analyses using averaged log-reduction can underestimate average risk significantly.
Conclusions:
- Averaged log-reduction is a misleading metric for water treatment performance.
- Effective log-reduction provides a more accurate representation of average treatment efficiency.
- Accurate performance metrics are essential for ensuring public health and safety.
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