DOE OSTI · code-170616
sourcePy
Abstract
Pollutant source identification techniques (of which there are many variations) are either locked behind researchers writing their own code for each use case or GUI platforms that are easy to use but inflexible and opaque. The Python package sourcePy brings together many of the pollutant source identification algorithms, giving the user full control out of the box. It aims to create a platform for source identification experiments where the full analysis from beginning to end can be done in Python, with a level of specificity in design that isn't available in the GUI options. sourcePy provides users with a few key features: -A Python interface with HYSPLIT, which can be used to generate trajectories and concentration plumes -Several Python classes which standardize the preparation and processing of data related to source identification experiments -Example scripts and notebooks that allow even new python users to get started with their own experiments quickly -Visualization methods
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Arseneau, Isaac [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Texas Tech Univ., Lubbock, TX (United States)] (0000000341707734), Kabela, Erik [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (0000000297702206). 2025-11-11. sourcePy. https://doi.org/10.11578/dc.20251124.2
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