摘要
为了详细评估省级尺度机动车污染物排放特征,基于相同的车辆活动水平信息,分别采用COPERT模型和基于国内实测的排放因子数据建立了江苏省2012年机动车大气污染物排放清单。结果表明,由于排放因子的差异,基于国内实测的排放因子法估算氮氧化物(nitrogen oxides,NO_x)、一氧化碳(carbon monoxide,CO)、非甲烷挥发性有机物(non-methane volatile organic compounds,NMVOCs)、细颗粒物(particulate matter2.5,PM2.5)、黑碳(black carbon,BC)和有机碳(organic carbon,OC)排放量分别为COPERT模型结果的2.38、1.39、1.49、2.66、3.33和1.72倍。不同测试数据和模型结果的比较表明,COPERT模型可能对我国机动车CO、NO_x和NMVOC的排放因子有所低估,而不同测试的颗粒物排放因子结果不确定性较大。小型汽油客车对CO和NMVOC的排放贡献率分别为36%和23%;重型货车对NO_x、PM2.5和BC的贡献率都超过50%。基于COPERT模型计算结果和全省道路等级信息对机动车排放量进行空间分配,污染物排放主要集中在经济较为发达和路网较为密集的江苏南部地区;城际间高速路网对NO_x和颗粒物排放分布的影响较为明显。
To deeply analyze the emission characteristics of provincial vehicles？two emission inventories of on-road mobile source for Jiangsu in 2012 were established based on COPERT and emission factors method, respectively,based on the same sources of basic data Comparing the two methods, we found that the different applications of emission factors contributed to the big gap of N〇x, PM2.5 BC and OC, emission factors method were 2. 38, 1. 39, 1.49, 2. 66, 3. 33 and 1. 72 times of COPERT, respective-ly. COPERT may underestimate the emission factors of CO, NOx and NMVOC while the uncertainty of emission factors of parti-cular based on observation islarger by comparing different monitoring data and COPERT. Passenger car contribute 36% and 23% for CO and NMVOC, respectively, while the contribution of heavy-duty-truck for NOx , PM2.5 and BC aremore than 50%. Based on COPERT and road network information, GIS technology isapplied to analyze the spatial distribution of vehicle emission inten-sity. The results reveal that the contribution of the south of Jiangsu isrelative bigger and emission intensity islarger. Moreover, inter-city highway system hasa significant impact on the emission distribution of NOx and particular matter.
作者
黄奕玮
赵瑜
杨杨
谢轶松
谢放尖
许立峰
HUANG Yiwei ZHAO Yu YANG Yang XIE Yisong XIE Fangjian XU Lifeng(School of the Environment,Nanjing University,Nanjing 210023, China State Key baboratory of Pollution Control and Resources Reuse , Nanjing 210023, China Nanjing Research Institute of Environment Protection, Nanjing 210009, China Nanjing Vehicle Emission Regulatory Center, Nanjing ZlQQQd, China)
出处
《中国科技论文》
北大核心
2017年第3期346-353,共8页
China Sciencepaper
基金
高等学校博士学科点专项科研基金资助项目(20120091120019)
关键词
机动车
大气污染物
排放清单
排放因子
COPERT模型
空间分布
江苏省
vehicles
emission of on-road mobile source
emission inventory
emission factors
COPERT
spatial distribution
Jiangsu Province
