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A geospatial risk analysis graphical user interface for identifying hazardous chemical emission sources.
Hongfei Hou1, Huiying Ren1, Patrick Royer1
1Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States of America.
A new geospatial risk analysis tool (GRAT-GUI) enhances atmospheric particle transport analysis. It processes large meteorological datasets for rapid hazard evaluation and risk assessment, improving upon the existing Hybrid Single-Particle Lagrangian Integrated Trajectory Model (HYSPLIT) interface.
Area of Science:
- Atmospheric Science
- Environmental Science
- Computational Science
Background:
- The Hybrid Single-Particle Lagrangian Integrated Trajectory Model (HYSPLIT) is vital for assessing atmospheric particle transport.
- Its online interface is user-friendly but limited with large or non-coincident meteorological datasets.
- Existing limitations hinder rapid hazard transport evaluation and risk analysis.
Purpose of the Study:
- To design and develop a robust, user-friendly tool for evaluating hazard transport conditions.
- To enhance risk analysis capabilities for accidental material releases.
- To overcome the limitations of the current HYSPLIT interface for large datasets.
Main Methods:
- Developed a geospatial risk analysis tool (GRAT-GUI) as a native desktop application.
- GRAT-GUI processes large meteorological datasets and supports various data formats.
- Integrated potential source distribution function (PSDF) for source identification.
Main Results:
- GRAT-GUI enables rapid processing of large meteorological datasets, even offline.
- The tool provides an intuitive interface for data integration and visualization.
- Facilitates enhanced risk analysis for hazardous chemical emissions.
Conclusions:
- GRAT-GUI offers a significant improvement over the existing HYSPLIT interface for handling large datasets.
- The tool enhances the ability to perform rapid hazard transport evaluations and risk assessments.
- GRAT-GUI provides a secure and efficient solution for atmospheric dispersion modeling and source identification.
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