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Updated: Oct 9, 2025

Dynamic Electrochemical Measurement of Chloride Ions
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CMBEAR: Python-Based Recharge Estimator Using the Chloride Mass Balance Method in Australia.

Dylan J Irvine1, Ian Cartwright1,2

  • 1National Centre for Groundwater Research and Training, Bedford Park, SA, 5042, Australia.

Ground Water
|December 17, 2021
PubMed
Summary
This summary is machine-generated.

The Chloride Mass Balance Estimator of Australian Recharge (CMBEAR) tool simplifies groundwater recharge estimation using chloride data. This Python tool offers a reproducible method for calculating recharge rates across Australia and beyond.

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Area of Science:

  • Hydrology
  • Environmental Science

Background:

  • The chloride mass balance (CMB) method is a common technique for estimating long-term groundwater recharge.
  • Accurate recharge estimation is crucial for sustainable water resource management.

Purpose of the Study:

  • To introduce the Chloride Mass Balance Estimator of Australian Recharge (CMBEAR), a novel Jupyter Notebook tool.
  • To streamline the application of the CMB method for groundwater recharge estimation in Australia.

Main Methods:

  • Development of CMBEAR, a Python-based tool utilizing gridded chloride deposition and rainfall data.
  • Inputting groundwater chloride concentration, location data, and user parameters into CMBEAR.
  • Validation of CMBEAR estimates against existing CMB method applications and large datasets.

Main Results:

  • CMBEAR enables rapid application of the CMB method across Australia using gridded data.
  • The tool was successfully applied to a large dataset from the Northern Territory.
  • A gridded recharge map for western Victoria was generated using CMBEAR.

Conclusions:

  • CMBEAR provides a reproducible and straightforward approach for estimating groundwater recharge.
  • The tool is adaptable for use in other regions with available gridded chloride deposition maps.
  • CMBEAR enhances the accessibility and efficiency of groundwater recharge assessment.