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MoisturEC: A New R Program for Moisture Content Estimation from Electrical Conductivity Data.

Neil Terry, Frederick D Day-Lewis1, Dale Werkema2

  • 1Hydrogeophysics Branch, Earth System Processes Division, U.S. Geological Survey, 11 Sherman Place, Unit 5015, Storrs, CT, 06269.

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Summary
This summary is machine-generated.

This study introduces MoisturEC, an R program that translates electrical conductivity (EC) measurements into soil moisture estimates. This tool aids in understanding unsaturated zone flow for agriculture and landfill management.

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Area of Science:

  • Geophysics
  • Environmental Science
  • Soil Science

Background:

  • Noninvasive geophysical methods can estimate soil moisture, crucial for unsaturated zone flow studies.
  • Accurate soil moisture data is vital for agricultural management, aquifer recharge, and landfill operations.
  • Existing geophysical techniques require user-friendly tools to translate data into reliable soil moisture estimates.

Purpose of the Study:

  • To develop a straightforward R program, MoisturEC, with a graphical user interface.
  • To enable the conversion of electrical conductivity (EC) measurements into soil moisture estimations.
  • To provide a tool for generating 2D and 3D soil moisture images.

Main Methods:

  • MoisturEC utilizes electrical conductivity (EC) values and direct soil moisture measurements as input.
  • The program supports the use of Archie parameters or empirical moisture-EC relationships.
  • Tikhonov regularization is employed for interpolating moisture data between measurement points.

Main Results:

  • MoisturEC successfully converts EC data into soil moisture estimates.
  • The program generates visual 2D and 3D representations of soil moisture distribution.
  • The tool integrates geophysical data with direct measurements for enhanced accuracy.

Conclusions:

  • MoisturEC offers a user-friendly solution for translating geophysical data into actionable soil moisture information.
  • The developed tool enhances the application of geophysical techniques in environmental and agricultural studies.
  • Improved soil moisture estimation through tools like MoisturEC can optimize resource management and environmental monitoring.