DOI: 10.1016/j.atmosenv.2014.10.029
Scopus记录号: 2-s2.0-84908433138
论文题名: Implementation of plume rise and its impacts on emissions and air quality modelling
作者: Guevara M ; , Soret A ; , Arévalo G ; , Martínez F ; , Baldasano J ; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 99 起始页码: 618
结束页码: 629
语种: 英语
英文关键词: Air quality modelling
; Point source
; Spain
; Vertical distribution
; Vertical emission profiles
Scopus关键词: Air quality modelling
; Point sources
; Spain
; Vertical distributions
; Vertical emission
; air quality
; atmospheric modeling
; atmospheric plume
; bottom-up approach
; concentration (composition)
; emission
; point source pollution
; simulation
; vertical distribution
; vertical profile
; air pollutant
; air quality
; altitude
; Article
; dispersion
; electric power plant
; furnace
; iron and steel industry
; plume
; seasonal variation
; secondary organic aerosol
; simulation
; Spain
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: This work analyses the impact of implementing hourly plume rise calculations over Spain in terms of: i) vertical emission allocations and ii) modelled air quality concentrations. Two air quality simulations (4km×4km, 1h) were performed for February and June 2009, using the CALIOPE-AQFS system (WRF-ARW/HERMESv2.0/CMAQ/BSC-DREAM8b) differing only by the vertical allocation of point source emissions: i) using fixed vertical profiles based on the stack height of each facility and ii) using an hourly bottom-up calculations of effective emission heights. When using plume rise calculations, emissions are generally allocated to lower altitudes than when using the fixed vertical profiles, showing significant differences depending on source sector and air pollutant (up to 75% between estimated average effective emission heights). In terms of air quality, it is shown that hourly plume rise calculations lead to improved simulation of industrial SO2 concentrations, thus increasing modelled concentrations (1.4μgm-3 increase in February, 1.5μgm-3 increase in June) and reducing the model biases for both months (31.1% in February, 73.7% in June). The increase of SO2 concentrations leads to an increase of SO4-2 surface levels that varies according to the season and location (4.3% in February and 0.4% in June, on average). On the other hand, the impact on NO2 and PM10 concentrations is less significant, leading to average changes of a few μg·m3 at most (0.4μgm-3 for NO2 and 0.2μgm-3 for PM10). In order to maximize the precision of plume rise calculations, the use of stack parameters based on real-world data is mandatory. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80566
Appears in Collections: 气候变化事实与影响
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作者单位: Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS), Earth Sciences Department, Jordi Girona 29, Edificio Nexus II, Barcelona, Spain; Environmental Modelling Laboratory, Technical University of Catalonia, Avda. Diagonal 647, Edificio H, Oficina 10.23, Barcelona, Spain
Recommended Citation:
Guevara M,, Soret A,, Arévalo G,et al. Implementation of plume rise and its impacts on emissions and air quality modelling[J]. Atmospheric Environment,2014-01-01,99