Volume 59, Issue 2 pp. 273-280
Methods Note

anem: A Simple Web-Based Platform to Build Stakeholder Understanding of Groundwater Behavior

Gopal Penny

Corresponding Author

Gopal Penny

Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN, 46556 USA

Environmental Change Initiative, University of Notre Dame, 721 Flanner Hall, Notre Dame, IN, 46556 USA

Corresponding author: Environmental Change Initiative, 721 Flanner Hall, Notre Dame, IN 46556, (574) 631-2178; [email protected]Search for more papers by this author
Connor Mullen

Connor Mullen

Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN, 46556 USA

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Diogo Bolster

Diogo Bolster

Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN, 46556 USA

Environmental Change Initiative, University of Notre Dame, 721 Flanner Hall, Notre Dame, IN, 46556 USA

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Bruce Huber

Bruce Huber

University of Notre Dame Law School, P.O. Box 780, Notre Dame, IN, 46556 USA

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Marc F. Müller

Marc F. Müller

Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN, 46556 USA

Environmental Change Initiative, University of Notre Dame, 721 Flanner Hall, Notre Dame, IN, 46556 USA

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First published: 28 August 2020
Citations: 4

Article impact statement: Improving groundwater understanding and decision making through the open-source and easy-to-use online groundwater modeling platform anem.

Abstract

Groundwater supports essential societal and ecological functions by acting as a reservoir that buffers against natural variability. Increasing water scarcity and climate variability have resulted in more intensive management of groundwater resources, but groundwater often remains difficult to understand and manage. With this in mind, we develop a simple platform that provides a straightforward, web-based user interface applicable to a wide variety of end-user scenarios. Groundwater behavior is modeled using the method of images in a new R package, anem, which serves as the engine for the web platform, anem-app, produced using R Shiny. Both tools allow users to define aquifer properties and pumping wells, view maps of hydraulic head, and simulate particle tracking under steady-state conditions. These tools have the advantage of being platform independent and open source, so that they are freely available to anyone with a web browser and internet connection (anem-app) or computing platform with R installed (anem). We designed both tools to lower the learning curve and up-front costs to building simple groundwater models. The simplicity of the web application allows exploration of groundwater behavior under various conditions, and should be especially valuable in low-budget applications where advanced analysis may not be practical or necessary. Integration with the R language allows for advanced analysis and deeper exploration of groundwater dynamics. In this manuscript, we describe how anem and anem-app are built in the R environment and demonstrate how they might be used by planners or stakeholders.