Modeling the weather's influence on air and water quality

This thesis project aims at studying the complex relation between air quality, water quality, and the weather. We will analyze data on air quality index (AQI) and water quality/quantity, obtained by probes placed outdoors and in the sewages. The first step will be to obtain a proper data set for analysis, integrating several measurements from the pre-existing ARPA database. The second step will consist of using machine-learning and other techniques for the analysis of complex multivariate time series to obtain a model of the joint time evolution of water and air quality, and their modulation by key meteorological parameters (such as rainfall, temperature, and humidity), considered as external forcing factors. Finally, we will assess the model's performance in forecasting.