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Simple implementation of the Gaussian Air Dispersion model for predicting pollutant spread in the air.

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Gaussian Air Dispersion

The Gaussian Air Dispersion model is a widely used and relatively simple approach to predict the spread of pollutants in the air. You can read more about it on this Wikipedia page. While I couldn't find a straightforward implementation that suited my needs, I decided to create one myself. Below is a simple implementation that you can use.

Gaussian Air Dispersion Example

Setup

To get started, clone the repository and set up a virtual environment:

git clone <repository_url>
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Run Example

Once everything is set up, you can run the example script to see the model in action:

python gaussian_air_dispersion.py

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Simple implementation of the Gaussian Air Dispersion model for predicting pollutant spread in the air.

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