The Research Of Emission List In Wuhan

With the fast development of modernization and civilization in China, the amount of vehicles become bigger and bigger. People enjoy the convenience and efficiency that the vehicles bring to them at the cost of the pollution to the environment and the harm to the health. A good vehicle emission control system can restrict the emission pollution efficiently, after many years research and practice, Comparative mature emission gas control systems have been established in The United States, Japan and Europe, so have the technology and the corresponding rules. China is a lower side comparing to these countries.The Mobile6's emission factor module is used to calculate the VOC, NO_X , CO, CO₂ and PM integrative emission factor of the vehicle in Wuhan. They are reduced by 72%, 69%, 57%, 0.6%, 58% from 2000 to 2015. The single vehicle's average level is reducing, but the amount of the vehicles becomes more and more, which makes the total emission be increased year by year.By exerting the Mobile6's module, a problem is discovered that the lack of the basic data not only brings difficulty to the module' s exertion but also makes the output uncertain. The lack of the data is caused by the weakness of the national management on emission and the shortage of the management in Wuhan. So suggestions are proposed: Be strict to the regular check for vehicles in order to make sure they can meet the requirement. A positive attitude should be taken to establish the active database every year, and reinforce the supervision to the broken vehicle. The fuel management should be supervised step by step. The vehicle environment managing mechanism and the ability construction should be reinforced. The vehicle pollution law should be established as soon as possible. The public propaganda and education should be promoted positively.It should be pointed out that there have been many scholars analyzing other cities' emission factor with Mobile6, and the common difficulty is that basic data is hard to collect, leading that the input parameters can not reflect the local situation. Some scholars used single parameter sensitivity analysis to save the source. According the method, the most important parameter influencing the emission can be picked out to simplify the input project. It should be pointed out that although it is a method which makes things simple, it needs to be optimized in future since it neglects there are no independent relationships among the parameters.