研究报告
张景文,咸月,陈报章.南昌市移动源排放清单研究[J].环境科学学报,2017,37(7):2449-2458
南昌市移动源排放清单研究
- Study on the emission inventory from mobile source in Nanchang
- 基金项目:国家自然科学基金(No.41271116)
- 张景文
- 北京林业大学水土保持学院, 北京 100083
- 陈报章
- 1 北京林业大学水土保持学院, 北京 100083;2 中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京 100101
- 摘要:根据收集的南昌市移动源活动水平数据,采用合适的估算方法、排放因子和GIS技术,建立了南昌市2007—2014年移动源排放清单,并对2014年移动源清单进行了空间化处理与分析,空间分辨率为1 km×1 km.结果表明,2007—2014年南昌市移动源共向大气排放CO、HC、NOx、PM2.5、PM10、SO2分别为18.26×104、5.07×104、18.46×104、0.99×104、1.08×104、3.31×104 t.其中,2014年移动源向大气中排放的这6种污染物总量分别为2.14×104、0.76×104、1.97×104、0.08×104、0.09×104、0.55×104 t.道路移动源中,汽油小型客车是CO、HC和SO2最大的贡献源,排放量分别占机动车排放总量的55.1%、78.5%和56.1%;柴油重型货车是NOx、PM2.5和PM10排放贡献率最大的车型,分别占43.2%、40%和40%.非道路移动源中,小型拖拉机对CO、HC、NOx、PM2.5和PM10的贡献率均较大,分别占非道路移动源排放总量的29.9%、26.9%、23.4%、29.5%和29.8%;SO2排放主要来源于船舶,占非道路移动源SO2排放总量的45.1%.高污染排放集中的区域,主要是青山湖区、西湖区和东湖区.
- Abstract:Based on the collected activity data and emission factors, the emission inventory for the period 2007—2014 was developed by using an appropriate estimation methods. Spatial distribution of emission inventory at 1 km resolution was estimated for the base year 2014 using and GIS techniques. Results showed that the total annual emissions of CO, HC, NOx, PM2.5, PM10 and SO2 for Nanchang during 2007—2014 were 18.26×104, 5.07×104, 18.46×104, 0.99×104, 1.08×104, and 3.31×104 t, respectively, while those from mobile source in 2014 was 2.14×104, 0.76×104, 1.97×104, 0.08×104, 0.09×104, and 0.55×104 t, respectively. For on-road mobile source, gasoline passenger cars were the largest contributors for CO, HC and SO2, accounting for 55.1%, 78.5% and 56.1%, respectively, while diesel heavy duty trucks were the largest contributors for NOx, PM2.5 and PM10, accounting for 43.2%, 40% and 40%, respectively. For non-road mobile source, small tractors were the biggest contributors for CO, HC, NOx, PM2.5 and PM10, accounting for 29.9%, 26.9%, 23.4%, 29.5% and 29.8%, respectively. SO2 was mainly emitted from ships with contribution of 45.1%. The areas with high pollution emissions were mainly located in Qingshanhu District, Xihu District and Donghu District.
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