GroundWater Spatiotemporal Data Analysis Tool (GWSDAT): case studies, new features and future developments

Jones, W. R., Rock, L., Wesch, A., Marzusch, E. and Low, M. (2022) GroundWater Spatiotemporal Data Analysis Tool (GWSDAT): case studies, new features and future developments. Ground Water Monitoring and Remediation, 42(3), pp. 14-22. (doi: 10.1111/gwmr.12522)

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GWSDAT is an open source, user-friendly, software application for the visualization and interpretation of groundwater monitoring data. Since its first release, over 8 years ago, it has become increasingly well established and is now a globally adopted tool. Despite its widespread use there is little published material considering the application of GWSDAT. The primary purpose of this paper is to demonstrate the different benefits of using GWSDAT by considering a cross-section of real case studies. The first case study is an example of using GWSDAT to provide evidence to support a proposal to reduce sampling frequency. The next case study discusses the use of GWSDAT to support the recommendation for site closure. The third case study considers how GWSDAT can be used to identify gaps in a monitoring network. The final case study reports on the application of the, newly introduced, well redundancy analysis feature in GWSDAT. Finally, the road map for future developments in the optimization of monitoring network and the motivation for doing this in a spatiotemporal framework is discussed.

Item Type:Articles (Editorial)
Glasgow Author(s) Enlighten ID:Low, Dr Marnie
Authors: Jones, W. R., Rock, L., Wesch, A., Marzusch, E., and Low, M.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Ground Water Monitoring and Remediation
ISSN (Online):1745-6592
Published Online:15 April 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Ground Water Monitoring and Remediation 42(3): 14-22
Publisher Policy:Reproduced under a Creative Commons License

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