DOI: 10.1016/j.atmosenv.2014.11.059
Scopus记录号: 2-s2.0-84916910784
论文题名: Improvement of simulation of fine inorganic PM levels through better descriptions of coarse particle chemistry
作者: Trump E ; R ; , Fountoukis C ; , Donahue N ; M ; , Pandis S ; N
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 102 起始页码: 274
结束页码: 281
语种: 英语
英文关键词: Modeling
; Particulate matter
; Sea-salt
Scopus关键词: Aerosols
; Atmospheric movements
; Computational efficiency
; Mass transfer
; Models
; Nitric acid
; Aerosol mass spectrometers
; Chemical transport models
; Dynamic calculations
; Equilibrium approaches
; Nitrate concentration
; Particle concentrations
; Particulate Matter
; Sea salts
; Nitrates
; ammonia
; calcium
; carbon
; chloride
; hydrochloric acid
; magnesium
; nitrate
; nitric acid
; potassium
; sodium
; sulfate
; ammonium
; atmospheric chemistry
; atmospheric modeling
; bioaccumulation
; computer simulation
; concentration (composition)
; nitrate
; nitric acid
; numerical model
; prediction
; volatile substance
; aerosol
; air quality
; Article
; dry deposition
; mass spectrometer
; particle size
; particulate matter
; simulation
; temperature
; water vapor
; Connacht
; County Galway
; Ireland
; Mace Head
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: Atmospheric chemical transport models (CTMs) have often serious difficulties reproducing the observed aerosol nitrate levels. We hypothesize that one of the reasons for these errors is their treatment of the competition between the accumulation and coarse-mode particles for the condensing nitric acid. The hybrid mass transfer method is used in the CTM PMCAMx to test this hypothesis. The simulation approach combines the dynamic calculation of mass transfer to coarse-mode particles while maintaining computational efficiency by assuming that the fine mode particles are in equilibrium. The resulting model is applied to Europe and evaluated for the period of May 2008 against ground-based and airborne Aerosol Mass Spectrometer measurements from the EUCAARI campaign.PMCAMx using the default equilibrium approach to calculate the partitioning of semi-volatile PM components between the gas and particle phases seriously overpredicts PM1 nitrate levels especially for locations in which there were relatively high coarse-mode particle concentrations (significant sea-salt or dust concentrations). This shortcoming was especially apparent for the Mace Head site in Ireland, where a large amount of nitrate was associated with sea-salt. The improved simulation of the coarse-mode particle chemistry results in significant improvement of the predictions of PM1 nitrate and ammonium. Sea-salt emissions in areas with high nitric acid levels reduce the PM1 nitrate concentrations. © 2014 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82023
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States; Institute of Chemical Engineering Sciences, ICEHT/FORTH, Patras, Greece; Department of Chemical Engineering, University of Patras, Greece
Recommended Citation:
Trump E,R,, Fountoukis C,et al. Improvement of simulation of fine inorganic PM levels through better descriptions of coarse particle chemistry[J]. Atmospheric Environment,2015-01-01,102