基于IVE模型重型柴油车尾气排放时空特征分析

Spatio-temporal Characterisation of Heavy-duty Diesel Vehicle Emissions Based on the IVE Model

该研究基于国际机动车排放(IVE)模型结合GPS轨迹点密度和道路长度的方法,建立了昆明市主城区重型柴油车大气污染物和温室气体的高分辨率网格化排放清单,量化了重型柴油车的行驶特征,确定了车辆的VSP bin分布特征、环境变量和车辆技术特征,改进了污染物空间分配方法。结果表明,昆明市主城区的CO_(2)、NOx和PM日排放总量分别为373.481、2.43和0.193 t。驾驶模式工况主要向VSP bin12趋近,其后逐渐降低;污染物的排放因子随车速变化而有规律的变化。从时间分布来看,污染物的小时排放模式均呈现出双峰趋势,表明交通拥堵和通勤高峰时段是污染物排放的主要时段;将轨迹点密度和网格道路长度作为污染物空间分配的权重因子,能够更真实地反映污染物排放强度的分布模式。

In this study,a high-resolution gridded emission inventory of air pollutants and greenhouse gases from heavyduty diesel vehicles in the main urban area of Kunming City was established based on the international motor vehicle emission(IVE)model combined with the GPS track point density and road length method.The driving characteristics of heavy-duty diesel vehicles were quantified,the VSP bin distribution characteristics,environmental variables and vehicle technical char⁃acteristics of the vehicles were determined,and the pollutant spatial allocation method was improved.The results showed that the total daily emissions of CO_(2),NOx and PM in the main urban area of Kunming were 373.481,2.43 and 0.193 t,respec⁃tively.The driving mode conditions mainly converge to VSP bin12 and then gradually decrease;the emission factors of pollutants change regularly with speed.In terms of time distribution,the hourly emission patterns of pollutants all show a bimodal trend,indicating that traffic jams and peak commuting hours are the main hours of pollutant emission.Taking the density of trajectory points and the length of the grid road as the weighting factors for the spatial distribution of pollutants,can more realistically reflect the distribution pattern of pollutant emission intensity.