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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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PEST and AEM Modeling for Data Acquisition Planning.

Charles McLane1

  • 1McLane Environmental, LLC, 707 Alexander Rd, Suite 206, Princeton, NJ, 08540, USA.

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|July 3, 2023
PubMed
Summary

A cost-effective field data collection program can be developed by combining PEST with analytic element method (AEM) groundwater flow models. This approach optimizes data collection for hydrogeologic site investigations, ensuring accuracy and efficiency.

Area of Science:

  • Hydrogeology
  • Environmental Science
  • Geoscience

Background:

  • Effective field data collection is crucial for hydrogeologic investigations.
  • Balancing data sufficiency with cost-efficiency is a key challenge.
  • Traditional methods can be time-consuming and expensive.

Purpose of the Study:

  • To present a cost-effective method for planning field data collection programs.
  • To demonstrate the integration of PEST with analytic element method (AEM) groundwater flow models.
  • To optimize the design of hydrogeologic site investigations.

Main Methods:

  • Utilized a combination of PEST (parameter estimation) and simple analytic element method (AEM) groundwater flow models.
  • Applied the integrated approach to a steady-state watershed model.

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  • Demonstrated the method on a transient pumping test project.

    • Main Results:

    • The PEST-AEM coupling provides a simple and low-cost approach to data collection planning.
    • AEM models are quick to develop and run, suitable for PEST iterations.
    • The method efficiently identifies necessary data types and locations for investigations.

    Conclusions:

    • PEST coupled with simple AEM models is an efficient tool for planning hydrogeologic investigations.
    • This integrated approach reduces costs and improves data collection strategies.
    • The method is applicable to both steady-state and transient groundwater flow scenarios.