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Risk-Based Wellhead Protection Decision Support: A Repeatable Workflow Approach.

Michael N Fienen, Nicholas T Corson-Dosch1, Jeremy T White2

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Summary
This summary is machine-generated.

A new scripted workflow streamlines environmental water management by creating probabilistic source water capture zones for wells. This repeatable, open-source approach enhances risk-based decision-making for water managers.

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Area of Science:

  • Environmental science
  • Hydrogeology
  • Water resource management

Background:

  • Environmental water management benefits from risk-based approaches incorporating uncertainty.
  • Data assimilation and model construction are complex, time-consuming, and error-prone processes.
  • A repeatable workflow is crucial for efficient and rigorous analysis of environmental data.

Purpose of the Study:

  • To develop a scripted workflow for groundwater model construction, data assimilation, and probabilistic source water delineation.
  • To address the need for a repeatable and transparent approach in environmental risk assessment.
  • To create a decision tool for water managers to delineate risk-based capture zones for supply wells.

Main Methods:

  • Leveraged existing datasets on hydrogeology, hydrography, water use, and recharge.
  • Developed a scripted workflow for groundwater model construction and data assimilation.
  • Employed ensemble-based history matching and a posterior Monte Carlo approach for probabilistic capture zone delineation.

Main Results:

  • Generated a repeatable workflow for groundwater model construction and data assimilation.
  • Provided probabilistic capture zones for source water to wells within a risk-based framework.
  • The workflow is applicable to United States datasets and similar global datasets.

Conclusions:

  • The developed workflow offers a repeatable, transparent, and efficient method for risk-based environmental water management.
  • Open-source tools facilitate the testing and application of this approach for various environmental problems.
  • Water managers can utilize probabilistic capture zones to inform decisions on source water protection based on risk tolerance.