Simularia AI Solutions
Artificial Intelligence Value-Chain
Provided by
Simularia AI Solutions
What is it
We implement Machine Learning models to integrate and improve our numerical modelling solutions applied to the study of airborne pollutants. We thus obtain accurate and high resolution ground concentration fields to be used in forecasts, epidemiological studies, etc.
Provided by
Simularia AI Solutions
Problem
Accurate and high spatial-temporal resolution concentrations maps of airborne pollutants are required in multiple fields (forecast, epidemiology, etc.) It is therefore required to increase the spatial resolution of traditional chemical transport models beyond the typical 1 km scale.
Solution
We apply a combined technique based on chemical transport models and ML models (Random Forest, XGBoost, etc.) The latter are trained with measurements from air quality monitoring stations thus improving both the accuracy and the spatial resolution of the concentration maps.
Additional services
Consulting
Application Markets
Healthcare / Social Services
Public Administration
Solution Progress
Available on the market
