A Mathematical and Numerical Framework for Traffic-Induced Air Pollution Simulation in Bamako

Abstract

We present a mathematical and numerical framework for the simulation of traffic-induced air pollution in Bamako. We consider a deterministic modeling approach where the spatio-temporal dynamics of the concentrations of air pollutants are governed by a so-called chemical transport model. The time integration and spatial discretization of the model are achieved using the forward Euler algorithm and the finite-element method, respectively. The traffic emissions are estimated using a road traffic simulation package called SUMO. The numerical results for two road traffic-induced air pollutants, namely the carbon monoxide (CO) and the fine particulate matter (PM2.5), support that the proposed framework is suited for reproducing the dynamics of the pollutants specified.

A Piece-Wise Linear Model-Based Algorithm for the Identification of Nonlinear Models in Real-World Applications

“…Control theory can grant authorities both theoretical and practical tools to find a set of suitable short and long-term strategies complying with these constraints due to the fact that the NO 2 dynamic in the atmosphere is driven by complex and nonlinear phenomena involving chemical reactions, anthropogenic and biogenic emission, and meteorological conditions (in particular solar radiation and wind speed and direction) [5]. The inter-relationship among different areas of interest (i.e., chemistry, meteorology) has led the literature to focus on increasingly complex deterministic systems of systems aimed at the description of the atmospheric phenomena over a predefined geographical domain [6][7][8][9][10][11]. Unfortunately, the complexity of these systems implies computational times that are not compatible with the phase of control system development, often performed solving optimization problems through numerical algorithms.…”