This Repository is about the definition of an idealized particle plume. Here I focus on a forced emission process like particles that whirled up by a vehicle from a dry, dusty surface.
The concrete example used here is about the spreading of dry fertilizer and the tilling with a plow afterward.
The Particle plume was observed with 2 aerosol monitors, which measured the particle number concentration in 31 size bins from 0.25 μm - 32 μm in two different heights.
From this, a vertical profile of particle concentration is assumed (c.f. Fig).
I define the profile as the center of the plume and multiply it with an ellipsoid to get a bubble-shaped concentration field. Based on this, the single-particle positions were generated.
A detailed description of the algorithm can be found in the file dust-bubble.ipynb
The particle positions are used as start points for the Lagrangian particle dispersion model Itpas.
This software is part of the Itpas pre-processing. The particle start points can be written into the start file format of Itpas.
The code is written in python3 as Jupyter Notebook(dust-bubble.ipynb). A copy of the code as python script (dust-bubble.py) is included but will be updated only for the release-versions.
Following packages are used:
- numpy
- matplotlib
- mpl_toolkits
Please cite this software as:
Matthias Faust. (2020, October 1). mttfst/dust-bubble: randomised test input (Version v1.0.2). Zenodo. http://doi.org/10.5281/zenodo.3975563
