Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)
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Updated
Aug 15, 2021 - HTML
Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)
The Fire and Smoke Digital Twin is a cutting-edge solution that predicts smoke paths in 2D and 3D and provides real-time analysis of air quality drops due to fires. The digital twin collects and archives fire incident data from cities all over the US, and uploads nightly to this repository.
Reads air quality data from gios.gov.pl and indicates simple air quality status
The purpose of this project is to figure out whether the air quality in China has been better in the recent years. Results show that in Beijing, air quality does get better.
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