A Browser-Based User Interface for the Pre-Assessment of Potentially Contaminated Sites
2 Department of Information Technology, Manipal University Jaipur, India
3 Institute of Groundwater Management, Technische Universität Dresden, Germany
5.3 in Data-Science in der Hydrogeologie: Potenziale, Limitationen und Herausforderungen
Groundwater contamination has emerged as a threat to drinking water security around the world. A massive number of potentially contaminated sites require cost and time effective pre-assessment techniques. An initial assessment of the hazard potential of the contaminated site is essential for the selection of a suitable remediation method. This is possible using analytical and numerical methods that can predict pollutant spreads. For the initial assessment of contaminated sites, a browser-based user interface has been developed.
In this work, a Python programming language microframework (Flask) is being used to create a browser-based interface that integrates mathematical operations, database management, and visualization. The web browser currently works well on a local server and is now being deployed on a real-time server. An online web browser makes the tool easily accessible and allows the user to store their data.
Analytical models (2D and 3D), empirical models, and numerical approaches with limited capabilities (MODFLOW-MT3D based) are adopted for assessment in the interface. Interactive visualizations (based on Python libraries) are integrated for the evaluation of model results. The interface, at this stage, already includes data for over 150 (DNAPL) contaminated sites, database on dispersivity values. These data (or the user data) can be used for independent visualization and evaluation or mathematical operations followed by visualization and evaluations. The site database, model input, analytical and empirical models are ready to be deployed. The numerical model is still in the development phase. Besides being the site-assessment tool, the interface is also intended to be a teaching and learning tool. The ongoing development is to be open-sourced through a Github based interface. Ongoing and future developments include tools for sensitivity and uncertainty analysis, optimization and prognosis models as well as combining the contaminated site assessment tools with water-quality prognosis models, and development of the mobile interface.
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