About the SA Toolbox
The Sensitivity Analysis Toolbox (SA Toolbox) is a specialized Python-based application designed for performing global sensitivity analysis on datasets. This application features a user-friendly graphical user interface (GUI) that simplifies complex analysis workflows.
Users can effortlessly navigate through various components, including: - Data import - Subset creation - Visualization options
The toolbox supports interactive plotting, enabling real-time analysis of data distributions and relationships. It also provides customizable settings for sensitivity analysis methods.
The SA Toolbox offers multiple sensitivity analysis options, including:
- First-order sensitivity methods to identify the most influential parameters on model outputs.
- Interaction testing to assess how parameters jointly affect results.
- Variance-based and screening methods for advanced users to tailor analyses to their needs.
Background
The SA Toolbox was developed as part of the SANGUR project, which stands for:
Systematic Sensitivity Analysis for Mechanistic Geochemical Models Using Field Data from Crystalline Rock
This project is funded by the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety, and Consumer Protection (BMUV).
SANGUR is a collaborative initiative aiming to enhance the predictive capabilities of reactive transport models (RTM) used to model contaminant migration in deep geological formations.
By applying Sensitivity Analysis (SA) and Uncertainty Analysis (UA), the SA Toolbox helps:
- Assess the effects of uncertainties on model predictions.
- Establish credible error margins for essential parameters.
- Support long-term safety assessments in repository systems.
Features of the SA Toolbox
- Intuitive GUI: A structured interface simplifying navigation and analysis processes.
- Comprehensive Workflow Management: Clear guidance through sensitivity analysis steps.
- Dynamic Data Visualization: Tools for both graphical and numerical output.
- Integrated Reporting: Automatically compile results into detailed reports.
SANGUR Project Partners
