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Improving Groundwater Model Calibration with Repeat Microgravity Measurements.

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Repeat microgravity measurements offer a novel way to estimate groundwater parameters. This method, validated with MODFLOW and field data, improves estimates of hydraulic conductivity and specific yield by reducing uncertainty.

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Area of Science:

  • Hydrogeology
  • Geophysics

Background:

  • Groundwater-flow models traditionally rely on hydraulic head and flux data for calibration.
  • Parameter estimation in groundwater models is crucial for accurate water resource management.
  • Repeat microgravity measurements provide a novel type of observation for groundwater studies.

Purpose of the Study:

  • To demonstrate the utility of repeat microgravity data for groundwater model parameter estimation.
  • To integrate microgravity-derived changes in storage into groundwater model objective functions.
  • To evaluate the effectiveness of this method using field data and MODFLOW simulations.

Main Methods:

  • Simulating gravity changes from a MODFLOW groundwater model.
  • Incorporating microgravity observation misfits into the model's objective function.
  • Utilizing new software linked to MODFLOW input/output files and field data.

Main Results:

  • A 10-year microgravity survey near the All American Canal showed gravity decreases (up to 100 μGal) correlating with reduced seepage after canal lining.
  • Simulated gravity from a MODFLOW model closely matched the observed microgravity data.
  • Repeat microgravity data significantly reduced uncertainty in hydraulic conductivity and specific yield estimates compared to using only drawdown data.

Conclusions:

  • Repeat microgravity measurements are a valuable tool for estimating groundwater parameters, particularly specific yield and hydraulic conductivity.
  • The method effectively constrains model parameters by simulating gravity changes and including observation misfits.
  • The addition of microgravity data enhances the reliability of groundwater model predictions.