DOI: 10.1016/j.atmosenv.2013.11.020
Scopus记录号: 2-s2.0-84891295498
论文题名: Evaluation of on-road vehicle CO and NOx national emission inventories using an urban-scale source-oriented air quality model
作者: Kota S ; H ; , Zhang H ; , Chen G ; , Schade G ; W ; , Ying Q
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 85 起始页码: 99
结束页码: 108
语种: 英语
英文关键词: CMAQ
; MOBILE6.2
; MOVES
; National Emission Inventory (NEI)
; Source apportionment
; Urban-scale air quality modeling
Scopus关键词: Air quality modeling
; CMAQ
; MOBILE6.2
; MOVES
; National emission inventories
; Source apportionment
; Air quality
; Urban growth
; Vehicles
; Industrial emissions
; air quality
; atmospheric modeling
; carbon monoxide
; concentration (composition)
; emission inventory
; nitrogen oxides
; pollutant source
; traffic emission
; urban atmosphere
; air quality
; ambient air
; article
; exhaust gas
; measurement
; motor vehicle
; prediction
; priority journal
; reduction
; simulation
; statistical bias
; surface property
; United States
; urban area
; Texas
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: The MOBILE6.2 model was replaced by the Motor Vehicle Emission Simulator (MOVES) in 2012 as an official tool recommended by the United States Environmental Protection Agency (US EPA) to predict vehicular pollutant emission factors. In this study, on-road vehicle emission inventories of CO and NOx for Southeast Texas generated by MOVES and MOBILE6.2 in two versions of the 2005 National Emission Inventory (NEI) were studied by comparing predicted CO and NOx using the EPA's Community Multiscale Air Quality (CMAQ) Model incorporated with a source-oriented gas phase chemical mechanism with measurements made at six urban and industrial sites in Southeast Texas. The source tracing technique allows direct determination of contributions of on-road vehicles to overall CO and NOx concentrations and identification of ambient concentration measurements which are mostly impacted by vehicle emissions.By grouping the fractional bias (FB) values of the hourly predictions based on vehicle contributions to total CO or NOx concentrations, clear trends in the FB were observed, indicating systematic biases in the emission inventory for these species. Data points dominated by vehicle emissions suggest that surface CO concentrations due to vehicle exhaust are significantly over-estimated by a factor of 2 using either MOVES or MOBILE6.2. NOx concentrations are overestimated by approximately 20-35% and 70% by using the MOBILE6.2 and MOVES emissions, respectively. Emission scaling runs show that a domain-wide reduction of MOBILE6.2 CO emissions by 60% and NOx emissions by 15-25% leads to better model performance of exhaust CO and NOx concentrations in the current study. © 2013 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80779
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Zachry Department of Civil Engineering, Texas A and M University, College Station, TX 77845, United States; Department of Atmospheric Sciences, Texas A and M University, College Station, TX, United States; Department of Civil and Environmental Engineering, University of California, Davis, United States
Recommended Citation:
Kota S,H,, Zhang H,et al. Evaluation of on-road vehicle CO and NOx national emission inventories using an urban-scale source-oriented air quality model[J]. Atmospheric Environment,2014-01-01,85