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Analyzing Groundwater Quality Data and Contamination Plumes with GWSDAT
Author(s) -
Jones Wayne R.,
Spence Michael J.,
Bonte Matthijs
Publication year - 2015
Publication title -
groundwater
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 94
eISSN - 1745-6584
pISSN - 0017-467X
DOI - 10.1111/gwat.12340
Subject(s) - plume , smoothing , sampling (signal processing) , groundwater , environmental science , linear regression , statistics , hydrology (agriculture) , mathematics , computer science , geology , meteorology , geography , geotechnical engineering , filter (signal processing) , computer vision
The Groundwater Spatiotemporal Data Analysis Tool (GWSDAT) is a user-friendly, open source software tool used to analyze and report trends in groundwater quality monitoring data. GWSDAT is 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. It has specific functionality for analyzing dissolved-phase concentration and light nonaqueous phase liquid (LNAPL) thickness trends and spatiotemporal smoothing to delineate dynamic contamination plumes. The software can handle large data sets with multiple monitoring locations, variable sampling events, and differing chemical constituents. GWSDAT has been used extensively in the assessment of soil and groundwater conditions at numerous assets around the world, including retail and manufacturing sites. The following are key benefits and value-added features of GWSDAT: