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Nine steps to risk-informed wellhead protection and management: a case study
R Enzenhoefer1, T Bunk, W Nowak
1University of Stuttgart, Institute for Modelling Hydraulic and Environmental Systems, Independent Junior Research Group: Stochastic Modelling of Hydrosystems (LH2/SimTech), Pfaffenwaldring 5a, 70569 Stuttgart, Germany; 49 (711) 685 66599.
Ground Water
|January 18, 2014
Summary
This study presents a simple, affordable framework for delineating wellhead protection zones, addressing concerns about complexity and area requirements. It demonstrates how risk-informed methods improve reliability without significant land use changes.
Area of Science:
- Environmental Science
- Hydrogeology
- Risk Assessment
Background:
- Wellhead protection zones traditionally rely on advective travel-time analysis, often neglecting model uncertainty.
- Recent research introduced quantifiable risk-based safety margins considering well-vulnerability criteria and uncertainty.
- Practitioners hesitate due to perceived complexity, computational demands, and area requirements of probabilistic methods.
Purpose of the Study:
- To demonstrate that reservations against probabilistic wellhead protection zone delineation are unfounded.
- To present a computationally affordable framework for risk-informed decision support.
- To promote robust and transparent wellhead delineation under uncertainty.
Main Methods:
- Development of a straightforward, computationally affordable framework for risk-informed wellhead delineation.
- Integration of model and parameter uncertainty into safety margin calculations.
- Case study application in a pumped karstic well catchment in Germany.
Main Results:
- The proposed framework effectively addresses concerns regarding area demand and computational complexity.
- Reliability of protection zones can be enhanced by reallocating low-risk areas to high-risk zones.
- Significant improvements in protection zone reliability are achievable with minimal additional delineated area.
Conclusions:
- The presented framework proves that probabilistic approaches for wellhead protection are practical and justifiable.
- Risk-informed delineation enhances water resource protection efficiency and transparency.
- The study provides a foundation for wider adoption of advanced methods in wellhead protection planning.
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