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基于行驶里程的北京市延庆区机动车排放清单建立及特征分析
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  • 英文篇名:Motor vehicles emission inventory at county level based on vehicle kilometers travel: a case study of Yanqing District of Beijing
  • 作者:王凯 ; 樊守彬 ; 孙改红 ; 亓浩雲
  • 英文作者:WANG Kai;FAN Shoubin;SUN Gaihong;QI Haoyun;College of Resource Environment and Tourism, Capital Normal University;Beijing Municipal Research Institute of Environmental Protection;National Engineering Research Center of Urban Environmental Pollution Control;
  • 关键词:延庆区 ; 机动车尾气 ; 排放清单 ; 行驶里程
  • 英文关键词:Yanqing District;;motor vehicle exhaust;;emission inventory;;vehicle kilometers travel
  • 中文刊名:HKWZ
  • 英文刊名:Journal of Environmental Engineering Technology
  • 机构:首都师范大学资源环境与旅游学院;北京市环境保护科学研究院;国家城市环境污染控制工程技术研究中心;
  • 出版日期:2018-10-22 15:59
  • 出版单位:环境工程技术学报
  • 年:2019
  • 期:v.9
  • 基金:大气重污染成因与治理攻关项目(DQGG0201);; 北京市优秀人才培养资助项目(2015000021733G173);; 北京市环境保护科学研究院基金项目(2018B01)
  • 语种:中文;
  • 页:HKWZ201902002
  • 页数:7
  • CN:02
  • ISSN:11-5972/X
  • 分类号:12-18
摘要
调查统计北京市延庆区机动车类型、车流量、汽车里程、燃油类别等,运用COPERT模型计算了小客车、大客车、小货车、中货车、特大货车的CO、HC、NO_x、PM排放因子。基于现场调查和卫星影片解译建立延庆区机动车行驶里程(VKT)数据库,应用ArcGIS建立机动车高分辨率排放清单,以实际车流量信息计算出VKT和对应的各污染物排放量。结果表明:CO、HC、NO_x、PM的年排放量分别为1 995. 49、478. 84、2 466. 06、156. 65 t/a。小客车对CO和HC排放量的贡献率最大,分别为36%和72%;特大货车对NO_x和PM排放量的贡献率最大,分别为54%和49%。污染物高排放量主要分布在城区,原因是城区路网密集,车流量较大。
        Vehicle type, environmental condition, vehicle mileage and fuel type of motor vehicles in Yanqing District were surveyed and calculated. The COPERT model was used to compute the emission factors of CO, HC,NO_x and PM for passenger cars, buses, small trucks, medium trucks and oversized trucks, respectively.Geographic information system was applied to establish high-resolution exhaust emissions inventory, based on vehicle driving range(VKT) database in Yanqing District obtained by field investigation and Google Earth satellite image. Then the vehicle kilometers travel data and the corresponding pollutants emission were calculated by actual traffic information. The results showed that the annual emission of CO, HC, NO_x and PM was respectively1 995. 49, 478. 84, 2 466. 06 and 156. 65 t/a. Specifically, passenger cars had a higher contribution to CO and HC, which accounted for 36% and 72%, while the oversized trucks had a higher contribution to NOxand PM,which accounted for 54% and 49%, respectively. High emissions were mainly distributed in the downtown area due to dense road network and larger traffic volume flow.
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