基于IVE模型和大数据分析的杭州市道路移动源主要温室气体排放清单研究

利用IVE模型和对杭州市机动车排放管理数据库大数据的分析,得到杭州市2015年各类机动车主要温室气体高分辨率排放清单,分析了排放分担情况及时间变化特征,并利用Arc GIS及杭州市路网信息建立了1 km×1 km网格化空间分布.结果表明,杭州市道路移动源温室气体排放中CO_2、CH_4和N_2O的年排放量分别为818.11×10~4、0.85×10~4和0.07×10~4t,合计856.79×10~4t(以CO2当量计).从温室气体种类来看,CO_2占道路移动源温室气体排放总量的绝大部分,为95.5%;从机动车类型来看,小微型客车对道路移动源温室气体排放的贡献率最大,占72.8%;从道路类型的排放情况来看,杭州市市中心、城区、城郊和郊区中温室气体合计CO_2当量贡献率最高的均为主干路,分别为43.4%、61.8%、58.0%和42.4%.杭州市道路移动源温室气体排放强度均呈现由城市中心向城市边缘递减的趋势,同时温室气体排放量日变化特征明显,均出现弱双峰现象.

Study on greenhouse gas emission inventory of road source in Hangzhou based on IVE model and large data analysis

The IVE model and Hangzhou motor vehicle emission management database of large data were used to calculate the various types of motor vehicles greenhouse gas emissions high resolution inventory in 2015. The emission sharing and time variation characteristics were analyzed in this,and based on the information of road network and ArcGIS software, the distribution of 1 km×1 km grid space was established. The results showed that the annual emissions of CO₂, CH₄ and N₂O in the greenhouse gas source of Hangzhou were 818.11×10⁴ t, 0.85×10⁴ t and 0.07×10⁴ t respectively, and the total amount was 8.5679 million tons of carbon dioxide equivalent (CO₂e). In view of the type of greenhouse gas, CO₂ accounts for 95.5% of the total greenhouse gas source of road mobile; According to the type of vehicle, the contribution rate of small passenger car to greenhouse gas is the largest, accounting for 72.8%;From the perspectives of road emission, the highest contribution rate of CO₂e to greenhouse gas is the main road, and the main road of city center, urban area, suburb and suburb area contributed 43.4%, 61.8%, 58.0% and 42.4%, respectively. The greenhouse gas emission intensity of road movement in Hangzhou is decreasing from the center of the city to the urban edge, and the diurnal variation of greenhouse gas emissions is obvious and the weak bimodal phenomenon occurs.