Case Studies

Atmospheric Pollution Predictions



Development of a model for prediction of atmospheric pollution is important for supporting local authorities in pollution control and prevention. NOSEM® technology has been applied to the prediction of the daily concentration peak of OZONE and PM10. Prediction has been performed on experimental time series measured in the city of Brescia. The NOSEM® technology has been compared with other standard methods (neural networks, fuzzy, ARCX).


The NOSEM® technology performed very well in comparison with neural networks, fuzzy, and ARX methods and was adopted by the customer to support decision making process related to pollution management.


# Sustainability
# Environmental Protection
# Non-Linear Modeling
# Simulation and Modeling
# Clean Tech