QQ客服 官方微博 反馈留言

	Development of a vehicle emission inventory with high temporal-spatial resolution based on NRT traffic data and its impact on air pollution in Beijing - Part 2: Impact of vehicle emission on urban air quality
	He, Jianjun1; Wu, Lin1; Mao, Hongjun1; Liu, Hongli2; Jing, Boyu1; Yu, Ye3; Ren, Peipei1; Feng, Cheng4; Liu, Xuehao4
刊名	ATMOSPHERIC CHEMISTRY AND PHYSICS
	2016
卷号	16期号:5页码:3171-3184
ISSN号	1680-7316
DOI	10.5194/acp-16-3171-2016
通讯作者	Mao, Hongjun(hongjun_mao@hotmail.com) ; Liu, Hongli(liuhongli@cams.cma.gov.cn)
英文摘要	A companion paper developed a vehicle emission inventory with high temporal-spatial resolution (HTSVE) with a bottom-up methodology based on local emission factors, complemented with the widely used emission factors of COPERT model and near-real-time (NRT) traffic data on a specific road segment for 2013 in urban Beijing (Jing et al., 2016), which is used to investigate the impact of vehicle pollution on air pollution in this study. Based on the sensitivity analysis method of switching on/off pollutant emissions in the Chinese air quality forecasting model CUACE, a modelling study was carried out to evaluate the contributions of vehicle emission to the air pollution in Beijing's main urban areas in the periods of summer (July) and winter (December) 2013. Generally, the CUACE model had good performance of the concentration simulation of pollutants. The model simulation has been improved by using HTSVE. The vehicle emission contribution (VEC) to ambient pollutant concentrations not only changes with seasons but also changes with time. The mean VEC, affected by regional pollutant transports significantly, is 55.4 and 48.5aEuro-% for NO2 and 5.4 and 10.5aEuro-% for PM2.5 in July and December 2013 respectively. Regardless of regional transports, relative vehicle emission contribution (RVEC) to NO2 is 59.2 and 57.8aEuro-% in July and December 2013, while it is 8.7 and 13.9aEuro-% for PM2.5. The RVEC to PM2.5 is lower than the PM2.5 contribution rate for vehicle emission in total emission, which may be due to dry deposition of PM2.5 from vehicle emission in the near-surface layer occuring more easily than from elevated source emission.
收录类别	SCI
WOS关键词	SOURCE APPORTIONMENT ; METEOROLOGICAL CONDITIONS ; MODELING SYSTEM ; OLYMPIC GAMES ; CHINA ; SIMULATION ; POLLUTANTS ; PM2.5 ; REGION ; PARTICULATE
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
语种	英语
出版者	COPERNICUS GESELLSCHAFT MBH
WOS记录号	WOS:000374702000026
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2557339
专题	寒区旱区环境与工程研究所
通讯作者	Mao, Hongjun; Liu, Hongli
作者单位	1.Nankai Univ, Coll Environm Sci & Engn, Tianjin 300071, Peoples R China 2.China Meteorol Adm, Chinese Acad Meteorol Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou, Peoples R China 4.Tianjin Vehicle Emiss Control Ctr, Tianjin, Peoples R China
推荐引用方式 GB/T 7714	He, Jianjun,Wu, Lin,Mao, Hongjun,et al. Development of a vehicle emission inventory with high temporal-spatial resolution based on NRT traffic data and its impact on air pollution in Beijing - Part 2: Impact of vehicle emission on urban air quality[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2016,16(5):3171-3184.
APA	He, Jianjun.,Wu, Lin.,Mao, Hongjun.,Liu, Hongli.,Jing, Boyu.,...&Liu, Xuehao.(2016).Development of a vehicle emission inventory with high temporal-spatial resolution based on NRT traffic data and its impact on air pollution in Beijing - Part 2: Impact of vehicle emission on urban air quality.ATMOSPHERIC CHEMISTRY AND PHYSICS,16(5),3171-3184.
MLA	He, Jianjun,et al."Development of a vehicle emission inventory with high temporal-spatial resolution based on NRT traffic data and its impact on air pollution in Beijing - Part 2: Impact of vehicle emission on urban air quality".ATMOSPHERIC CHEMISTRY AND PHYSICS 16.5(2016):3171-3184.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。