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Published on: August 25, 2014
Risk-based cost-benefit analysis for evaluating microbial risk mitigation in a drinking water system.
Viktor Bergion1, Andreas Lindhe1, Ekaterina Sokolova1
1Chalmers University of Technology, Department of Architecture and Civil Engineering, SE-41296 Gothenburg, Sweden.
A novel decision model combining risk assessment and cost-benefit analysis was used to evaluate drinking water microbial risk mitigation. Only UV disinfection met WHO guidelines, though all options showed negative net present value without considering non-monetised benefits.
Area of Science:
- Environmental Science
- Public Health
- Risk Management
Background:
- Waterborne gastrointestinal diseases incur significant societal costs.
- Holistic and transparent risk management is crucial for effective mitigation.
- Microbial risks in drinking water require robust assessment and management strategies.
Purpose of the Study:
- To investigate microbial risk mitigation measures in drinking water systems.
- To develop and apply a novel decision model integrating probabilistic risk assessment and cost-benefit analysis.
- To compare the effectiveness and economic viability of different risk mitigation alternatives.
Main Methods:
- Probabilistic risk assessment to estimate health effects in Quality-Adjusted Life Years (QALYs).
- Cost-benefit analysis to calculate the net present value of mitigation alternatives.
- Application of a risk-based decision model using Lake Vomb, Sweden as a case study.
Main Results:
- Only UV disinfection (Alternative A4) reduced infection risk below WHO guidelines (10^-4 per person per year) at the 95th percentile.
- All evaluated alternatives (A1-A4) yielded a negative net present value when only monetised benefits were considered.
- Including non-monetised benefits (e.g., environmental, property value) could result in a positive net present value under specific conditions (50th percentile, 1% discount rate).
Conclusions:
- The developed risk-based decision model offers a robust and transparent tool for microbial risk mitigation in drinking water systems.
- The model is flexible and adaptable to various local settings.
- Further refinement of health effect valuation, monetization, and uncertainty propagation is recommended to enhance the decision model.
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