Wang Haikun, Chen Changhong, Huang Cheng, Fu Lixin
Department of Environmental Science and Engineering, Tsinghua University, Beijing, PR China.
Sci Total Environ. 2008 Jul 15;398(1-3):60-7. doi: 10.1016/j.scitotenv.2008.01.038. Epub 2008 Apr 29.
As vehicle population and activity increase, vehicle emissions are becoming the most predominant source of air pollution in Shanghai, China. It has become important to accurately estimate the traffic emissions in this city. This paper presents a bottom-up approach based on the International Vehicle Emission (IVE) model to develop the vehicle emission inventory for Shanghai. The results show that the total emissions of CO, VOC, NO(X) and PM from vehicles in Shanghai in 2004 were 57.06 x 10(4) t, 7.75 x 10(4) t, 9.20 x 10(4) t and 0.26 x 10(4) t, respectively. About 20% of the total emissions were emitted during the cold start period. Heavy-duty vehicles such as trucks and buses contributed over half of NO(X) and PM. Motorcycles and mopeds provided 45.0% of VOC and 36.3% of PM. Light-duty vehicles are the main source of CO emissions. An assessment of vehicle emissions by time of day and road type was also discussed. The three peak emission periods accounted for 54% to 56% of the total emissions during the day and more than 50% of the total emissions were emitted on the arterial roads. Finally, the study focused on the uncertainty analysis of two critical factors: emission factors and the estimate of the total Vehicle Kilometers Traveled (VKT). The analysis indicates that the emission factors calculated in this paper are close to those factors measured during on-road testing, and the difference between the VKT used in this paper and other calculations is less than 10%.
随着车辆保有量和活动的增加,车辆排放正成为中国上海空气污染的最主要来源。准确估算该市的交通排放已变得至关重要。本文提出了一种基于国际车辆排放(IVE)模型的自下而上方法,以编制上海的车辆排放清单。结果表明,2004年上海车辆的一氧化碳(CO)、挥发性有机物(VOC)、氮氧化物(NO(X))和颗粒物(PM)总排放量分别为57.06×10⁴吨、7.75×10⁴吨、9.20×10⁴吨和0.26×10⁴吨。约20%的总排放量是在冷启动期间产生的。卡车和公交车等重型车辆贡献了超过一半的NO(X)和PM排放量。摩托车和轻便摩托车提供了45.0%的VOC排放量和36.3%的PM排放量。轻型车辆是CO排放的主要来源。还讨论了按日时段和道路类型对车辆排放进行的评估。三个排放高峰期占白天总排放量的54%至56%,且超过50%的总排放量是在主干道上产生的。最后,该研究聚焦于两个关键因素的不确定性分析:排放因子和车辆行驶总里程(VKT)的估算。分析表明,本文计算的排放因子与道路测试期间测量的因子相近,且本文使用的VKT与其他计算结果之间的差异小于10%。