Analyzing Groundwater Quality Data and Contamination Plumes with GWSDAT

Presented on Tuesday, March 22, 2016

Learn how the Groundwater Spatiotemporal Data Analysis Tool (GWSDAT), a user-friendly, open source software application, can be used to analyze and report trends in groundwater quality monitoring data during this presentation.

Based on the open source statistical programming language R and Microsoft Excel®, GWSDAT’s primary use is for interrogation and interpretation of groundwater monitoring data derived from contaminated sites. The following are some of its key benefits and value-added features:

• Improved data transparency to design and optimize groundwater monitoring or remediation programs

• Early identification of new releases, migration pathways, the need for corrective action, and stable or declining trends that may aid in site closure determinations

• Clarity on the relations between dissolved solute concentrations, LNAPL thicknesses, and groundwater elevation

• Rapid interpretation of complex data sets from large monitoring networks (e.g., refineries, terminals).
 In 2015, v2.1 was released, which adds quantitative metrics on plume stability to support negotiations with regulators.

This session provides information on the methodology GWSDAT applies and its user-interface, together with a case study to illustrate its capabilities.

Further details on GWSDAT can be found at claire.co.uk/GWSDAT or api.org/GWSDAT, or in the recent Groundwater® Technology Spotlight paper available athttp://onlinelibrary.wiley.com/doi/10.1111/gwat.12340/pdf.

Speakers:
Wayne R. Jones, Ph.D.
Shell’s Statistics & Chemometrics Group
Wayne R. Jones, Ph.D., is a senior statistical consultant with Shell’s Statistics & Chemometrics group. Having joined Shell in 2007, he’s worked on a wide variety of data science and statistical projects across many areas of the business. Before joining Shell, Jones held posts as a quantitative analyst in the commodities markets and a senior statistician at a pricing consultancy. A chartered statistician, Jones has a B.S. in mathematics from Bangor University of Wales, an M.S. in mathematical modeling for industry from the University of Loughborough, and a Ph.D. in ecological modeling from the University of Strathclyde.

Matthijs Bonte, Ph.D.
Soil and Groundwater Team, Shell’s Projects & Technology Organization
Matthijs Bonte, Ph.D., is a hydrogeologist with the soil and groundwater team of Shell’s Projects & Technology organization, where he works on projects and R&D for various Shell businesses. Prior to joining Shell in 2013, he worked for a number of consultancies and for a water R&D organization in The Netherlands and Australia. Bonte holds an M.S. in hydrogeology and a Ph.D. in hydrochemistry, both from VU University Amsterdam.

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