Managing groundwater resources requires computer modeling software, which in turn brings its own costs in education and usage fees. Although many groundwater modeling programs can be obtained at relatively inexpensive rates the hidden costs of software training remain high in general. What has been done is to make both the software and training available online for free, but this method delegates all responsibility to the users for both accessing the software in addition to learning how to use it properly. In this research the accessibility of groundwater models has been improved upon by creating a web app of an open source software called TimML. I divided up the task of building a general purpose groundwater modeling web app into three different apps with increasing sophistication. The first app I developed simulates construction dewatering using the Dupuit assumptions. The second app also simulates construction dewatering and uses the same basic graphical user interface I developed for the first app while implementing TimML as the backend processor. The culminating app, TimML-Cloud, builds on the user interface created in the first two apps and exposes more of the modeling capacity of TimML. By making TimML a cloud app, people with internet access have greater accessibility to an analytic element groundwater model than before. Because TimML is more accessible than before, people can more readily implement TimML as a decision-making tool in water resource management.
College and Department
Ira A. Fulton College of Engineering and Technology; Civil and Environmental Engineering
BYU ScholarsArchive Citation
Fullerton, Jacob Baird, "Cloud-Based Analytic Element Groundwater Modeling" (2017). All Theses and Dissertations. 6319.
groundwater, web app, model, TimML, cloud