Simulation Study Of Vehicle Pollutants Based On CALINE4 And OSPM Model

With the rapid increasement of the urban population, the number of vehicles has been gradually rising up, and traffiroads become more and more crowded, which resulting in serious air pollution. Currently, some research on vehicle pollutant dispersion in Shenzhen has been conducted. However, there is a lack of systematic research for the simulation and prediction of road traffic pollutants.The characteristics of vehicle pollution are discussed by analyzing the measured value. The vehicle pollutant diffusion’s simulation ability of the CALINE4 and OSPM model in Shenzhen different road was investigated.The characteristics of vehicle pollution are discussed by analyzing the measured value. The results showed that cars have basically become the main component of Shenzhen vehicle, followed by the number of buses. The annual average concentration of NO2, PM10, SO2, O3 and PM2.5 in Tianmian road is 2.31, 1.39, 1.04, 1.35 and 1.63 time respectively than the average concentration of Shenzhen city over the same period. The highest and lowest monthly average concentration of CO、NO2 and PM2.5 is in January, December and June, July, respectively. There has been a high concentration of pollution at rush hour. The main factors affect urban ambient air pollution is pollution source intensity, street geometry factors and meteorological factors.The observed concentrations and the predicted results were compared to verify the simulation ability of the CALINE4 model in Shenzhen open road. The CLINE4 results for CO, NO2, PM10 showed that 86%, 79% and 76% of the data, respectively, fell within the factor-of-two envelope, the correlation coefficient values were found to be 0.756, 0.277 and 0.143 respectively. It could be concluded that the modified CALINE4 model can be used to simulate the diffusion of Shenzhen open type road of CO and the environmental impact of road traffic air pollution analysis. However, CALINE4 may not have the capabilities to model NO2 and PM10 prediction for strict accuracy. This paper explores the OSPM’ NO2 modeling capability by comparing actual NO2 measurement data with OSPM predicted values. The OSPM results for NO2 showed that 83% of the data fell within the factor-of-two envelope, the correlation coefficient values were found to be 0.264. It is concluded that the OSPM model is capable of simulating the NO2 dispersion in street canyon road of Shenzhen within a certain error range.The principle and application methods of CALINE4 and OSPM model are analyzed in the process of applying the model. In order to providing theoretical basis for the correction of the model, how the input parameters’ change will impact on the accuracy of predicted results is discussed. This article explores the effects of the introduction and forecasting ability of models range in a small area of Shenzhen City, which filling the gaps in this regard of Shenzhen city. And the results of the study have good scientific value and practical value to learn air pollution situation and its influencing factors in Shenzhen traffic roads, and it can be a powerful tool for the development of traffic road air pollution counter measures.