青岛市机动车排放清单与空间分布特征

发布时间：2018-12-18 04:46

【摘要】：以青岛市2000~2014年机动车保有量与活动水平数据为基础,综合考虑排放标准与燃油品质的动态变化,以及机动车在城市路、郊区路和高速路的行驶比例与行驶工况,基于COPERT模型和GIS技术建立了0.02°×0.02°高分辨率机动车排放清单.结果表明,青岛市机动车CO、VOCs与SO_2的排放置由2000年的168.68,33.57,5.27kt下降至2014年的155.14,17.51,2.44kt,NO_x、PM_(10)与CO_2的排放量则由23.88,1.22,2647.32kt上升至57.82,2.76,17736.06kt.其中,CO与VOCs排放主要贡献车型为轻型载客车和摩托车,NO_x与PM_(10)排放主要来自于重型载客车与重型载货车,而CO_2和SO_2排放主要来源于轻型载客车与重型载货车.机动车排放空间分布呈现出由城市中心向城市边缘的递减趋势,并沿高速路呈明显的带状分布.李沧区、市北区、市南区和城阳区机动车排放强度较高,平度市、莱西市与崂山区机动车排放强度较低.
[Abstract]:Based on the data of vehicle ownership and activity level in Qingdao from 2000 to 2014, the dynamic changes of emission standards and fuel quality, as well as the driving ratio and driving conditions of motor vehicles on urban roads, suburban roads and expressways are considered synthetically. Based on COPERT model and GIS technology, a high resolution vehicle emission inventory of 0.02 掳脳 0.02 掳is established. The results showed that the emission of CO,VOCs and SO_2 in Qingdao decreased from 168.68 ~ 33.57 ~ 5.27 kt in 2000 to 155.14 ~ 17.51 ~ 2.44 KT / no _ x in 2014. The emissions of PM_ (10) and CO_2 increased from 23.88U 1.22U 2647.32kt to 57.82U 2.76N 17736.06kt. The main contribution models of CO and VOCs emissions are light passenger vehicles and motorcycles, and the emissions of NO_x and PM_ (10) mainly come from heavy passenger vehicles and heavy trucks. CO_2 and SO_2 emissions mainly come from light passenger trucks and heavy trucks. The spatial distribution of motor vehicle emissions showed a decreasing trend from the city center to the edge of the city, and the distribution along the highway showed an obvious zonal distribution. The emission intensity of motor vehicles in LiCang District, Shibei District, Southern District and Chengyang District is higher than that in Pingdu City, Laixi City and Laoshan District.
【作者单位】：济南大学资源与环境学院;
【基金】：山东省高校人文社科研究计划项目(J16YH28) 山东省自然科学基金(ZR2015DM014) 山东省教育厅人文社科项目(J12WG59) 教育部人文社科基金(13YJC790059;14YJCZH087)
【分类号】：X734.2

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