Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
POEM-PM: an emission model for secondary pollution control scenarios
Environmental Modelling & Software
GAMES, a comprehensive gas aerosol modelling evaluation system
Environmental Modelling & Software
Large-scale convex optimization methods for air quality policy assessment
Automatica (Journal of IFAC)
Sensitivity to spatial resolution of modeling systems designing air quality control policies
Environmental Modelling & Software
An integrated assessment tool to define effective air quality policies at regional scale
Environmental Modelling & Software
Hi-index | 22.14 |
This paper presents the implementation of a two-objective optimization methodology to select effective tropospheric ozone pollution control strategies on a mesoscale domain. The objectives considered are (a) the emission reduction cost and (b) the Air Quality Index. The control variables are the precursor emission reductions due to available technologies. The nonlinear relationship linking air quality objective and precursor emissions is described by artificial neural networks, identified by processing deterministic Chemical Transport Modeling system simulations. Pareto optimal solutions are calculated with the Weighted Sum Strategy. The two-objective problem has been applied to a complex domain in Northern Italy, including the Milan metropolitan area, a region characterized by frequent and persistent ozone episodes.