CARBON POLLUTION CONCENTRATIONS PROGNOSTICATION: CASE STUDY OF ROAD POLLUTION IN CONCEALED TUNNELS

Major contributors to air pollution. In order to reduce carbon related ailments among road users, the polluted air in our roads need to be decarbonized. The aim of this paper is to present a two dimensional grid based numerical carbon pollution model prognosticating carbon pollutant concentrations in roads, generated by car exhausts with a case study of concealed tunnels. The results of the findings on concentration of carbon pollutants in concealed road tunnels with ventilations and ventilation fans on road sections of the tunnel have been presented. Forced convection has been brought in by introducing suction pumps and accelerating the air into the tunnel to achieve the desired results. Godunov finite volume technique is used to help in prognosticating carbon pollutant concentrations at different levels from the source. With the technique, it has been possible to predict the carbonaceous deposits in the atmosphere and the effect of forced convection on concentration of carbon pollutants from the source.