Construction Of MOVES-Shenzhen Model And Application Of Simulate Vehicle Emission Factors

Vehicle emissions mainly caused the air quality cannot reach the standard in our cities. Accurately grasping the information on vehicle exhaust emissions of the different corridors or traffic areas has been a necessary prerequisite to effectively control vehicle’s exhaust pollution and improve urban air quality.This thesis conducted simulation studies on vehicle emission factors for the typical roads in Shenzhen based on the EPA new generation emissions model MOVES. A MOVES- Shenzhen model has been obtained by localization of model parameters such as geophysical location for simulation, fuel formulation, and vehicle information etal, with the consideration of the computational theories and micro-level parameters of the MOVES model.To investigate the effects of various parameters on emission factors, and predict the degree to which the emission factors are affected by the key parameters, this study applied the sensitivity coefficients(SAF) to a sensitivity analysis for the parameters of the project-level MOVES-Shenzhen. The results have shown that the speed and the vehicle age affect the emission factors largely, and that the emission factors of private cars exhibits a strong sensitivity to meteorological parameters. In addition, the sulfur content of fuels is a sensitive parameter for the SO2 emission factor of various vehicles.This thesis analyzed emission characteristics of three different types of vehicles under different patterns of operating conditions using the emission data obtained from the on-board measurement. It also assessed the accuracy of the model using the correction coefficient α. The study found that the road type determines the distribution ratios of the operating conditions, and that accelerated conditions have a great contribution to the entire range of pollutants. The results based on the correction factor α showed that: the simulated values of private cars based on the average speed are slightly higher than those based on operating conditions, where CO2 simulated and measured values are close; HC and PM2.5 simulated values are similar to their measured values for diesel buses in the city fast road; For trucks, simulated values based on the average speed are the same as the values based on the operating conditions.Finally, this study calculated the vehicle emission amount and emission factors of Central Park road segment of Shannon Road and Prince Bay Areabased on the modified MOVES-Shenzhen model. The study found that the changes of each pollutant total emissions is consistent with the time period of traffic volumes; diesel-fueled intercity and transit buses are the main contributing source of CO2, PM2.5 pollutants.