Applications of a neural network to forecast the hourly pollutant’s concentrations (SO2) in the industrial site of Priolo (Sicily)

Evaluation of concentrations in sites near the landfill of Palermo

In this paper a new method is presented for the evaluation of methane concentration near urban sites. The work is based on field measurements taken for a lon period of time on selected sites of the town of Palermo. The main finding of the work is that the landfill seriously affects the air quality of the town, at least around the selected sites

A forecast model to predict the next day’s maximum hourly SO2 in the site of Priolo (Siracusa).

Costs benefits analysis of an experimental plant using data collected in Palermo.

A neural network model for three-hours-ahead prediction of ozone concentration in the urban area of Palermo

Evaluation of methane concentrations in sites near the landfill of Palermo

Urban Daily Peak-Forecasting NOx Using Recurrent Neural Network

Daily Urban NOx Peak Forecasting Using Recurrent Neural Network

ANN (Artificial Neural Network) model for daily prediction of Methane concentration

According to the protocols for the reduction of the production of the gases responsible of the greenhouse effect, it makes necessary to develop systems able to forecast and to evaluate such gases. The dump of Bellolampo, situated in proximity of the urban area in Palermo, is a source of CO2 and CH4. It was officially created in the eighties and only some years later it was decided to convert it into a controlled landfill, soon becoming a catch basin of refuse for a large hinterland constituted by approximately 50 small towns. The city of Palermo has been equipped with a network of weather and air-quality stations far monitoring the main components that are responsible for atmospherlc pollut…

AIR CYCLE COUPLED WITH AN ABSORPTION REFRIGERATOR FOR THE INDOOR AIR CONDITIONING