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GWSDAT V3.1 – now released

Version 3.1 updates include:

  • Well Redundancy Analysis: This allows the user to very conveniently drop a well or a combination of wells from the analysis and investigate the resultant impact.
  • Updated User Manual: A fully comprehensive description of GWSDAT, updated for version 3.1.
  • Excel Add-in Menu: New Excel menu designed to be clearer to navigate and easier to install.
  • Custom Colour Key: In response to user feedback, the latest version has the functionality to customise the colour key in the main GWSDAT spatial plot.
  • Updated branding: The Excel data input templates have been updated with more contemporary colour schemes.
  • Bug Fixes: Numerous bug fixes and enhancements. More robust data input procedures which report more thoroughly on any potential issues, e.g. missing data, incorrect units, etc.

Information about previous versions is available here.

What is GWSDAT?

GWSDAT is an open source, user-friendly, software application for the visualisation and interpretation of groundwater monitoring data. It also enables to work with other types of monitoring data collected over time and space (e.g. soil gas concentrations).

Key functionalities of tool:

  • Trend analyses
  • Data smoothing
  • Spatiotemporal smoothing
  • Determination of contamination plume characteristics
  • Well redundancy analysis
  • Automatic report generation tools based on user input.

Business Benefits

GWSDAT, through improved risk-based decision making and response, adds value in several different ways:

  • Early identification of increasing trends or off-site migration.
  • Evaluation of groundwater monitoring trends over time and space (i.e., holistic plume evaluation).
  • Nonparametric statistical and uncertainty analyses to assess highly variable groundwater data.
  • Reduction in the number of sites in long-term monitoring or active remediation through simple, visual demonstrations of groundwater data and trends.
  • More efficient evaluation and reporting of groundwater monitoring trends via simple, standardised plots and tables created at the ‘click of a mouse.’
  • Well Redundancy Analysis functionality to identify potential optimization measures with regards to monitoring well network sampling locations.