DOI: 10.1016/j.atmosenv.2014.11.066
Scopus记录号: 2-s2.0-84988222529
论文题名: Influence of the choice of gas-phase mechanism on predictions of key gaseous pollutants during the AQMEII phase-2 intercomparison
作者: Knote C ; , Tuccella P ; , Curci G ; , Emmons L ; , Orlando J ; J ; , Madronich S ; , Baró R ; , Jiménez-Guerrero P ; , Luecken D ; , Hogrefe C ; , Forkel R ; , Werhahn J ; , Hirtl M ; , Pérez J ; L ; , San José R ; , Giordano L ; , Brunner D ; , Yahya K ; , Zhang Y
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 115 起始页码: 553
结束页码: 568
语种: 英语
英文关键词: Air pollution
; AQMEII
; Box modeling
; Gas-phase mechanisms
; Model intercomparison
; Tropospheric chemistry
Scopus关键词: Air pollution
; Air quality
; Boundary conditions
; Boundary layers
; Emission control
; Fog
; Forecasting
; Gas emissions
; Indicators (chemical)
; Photolysis
; Pollution
; Quality assurance
; Quality control
; Troposphere
; Volatile organic compounds
; AQMEII
; Box models
; Gas-phase mechanism
; Model inter comparisons
; Tropospheric chemistry
; Gases
; air quality
; anthropogenic source
; atmospheric modeling
; boundary condition
; carbon emission
; concentration (composition)
; emission control
; greenhouse gas
; meteorology
; prediction
; seasonal variation
; troposphere
; volatile organic compound
; aerosol
; air quality
; Article
; boundary layer
; circadian rhythm
; comparative study
; environmental protection
; gas analysis parameters
; gas phase mechanism
; meteorology
; photolysis
; pollutant
; prediction
; priority journal
; spring
; summer
; winter
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 formulations of tropospheric gas-phase chemistry ("mechanisms") used in the regional-scale chemistry-transport models participating in the Air Quality Modelling Evaluation International Initiative (AQMEII) Phase 2 are intercompared by the means of box model studies. Simulations were conducted under idealized meteorological conditions, and the results are representative of mean boundary layer concentrations. Three sets of meteorological conditions - winter, spring/autumn and summer - were used to capture the annual variability, similar to the 3-D model simulations in AQMEII Phase 2. We also employed the same emissions input data used in the 3-D model intercomparison, and sample from these datasets employing different strategies to evaluate mechanism performance under a realistic range of pollution conditions. Box model simulations using the different mechanisms are conducted with tight constraints on all relevant processes and boundary conditions (photolysis, temperature, entrainment, etc.) to ensure that differences in predicted concentrations of pollutants can be attributed to differences in the formulation of gas-phase chemistry. The results are then compared with each other (but not to measurements), leading to an understanding of mechanism-specific biases compared to the multi-model mean. Our results allow us to quantify the uncertainty in predictions of a given compound in the 3-D simulations introduced by the choice of gas-phase mechanisms, to determine mechanism-specific biases under certain pollution conditions, and to identify (or rule out) the gas-phase mechanism as the cause of an observed discrepancy in 3-D model predictions. We find that the predictions of the median diurnal cycle of O3 over a set of emission conditions representing a network of station observations is within 4 ppbv (5%) across the different mechanisms. This variability is found to be very similar on both continents. There are considerably larger differences in predicted concentrations of NOx (up to ± 25%), key radicals like OH (40%), HO2 (25%) and especially NO3 (>100%). Secondary substances like H2O2 (25%) or HNO3 (10%), as well as key volatile organic compounds like isoprene (>100%) or CH2O (20%) differ substantially as well. Calculation of an indicator of the chemical regime leads to up to 20% of simulations being classified differently by different mechanism, which would lead to different predictions of the most efficient emission reduction strategies. All these differences are despite identical meteorological boundary conditions, photolysis rates, as well as identical biogenic and inorganic anthropogenic emissions. Anthropogenic VOC emissions only vary in the way they are translated in mechanism-specific compounds, but are identical in the total emitted carbon mass and its spatial distribution. Our findings highlight that the choice of gas-phase mechanism is crucial in simulations for regulatory purposes, emission scenarios, as well as process studies that investigate other components like secondary formed aerosol components. We find that biogenic VOCs create considerable variability in mechanism predictions and suggest that these, together with nighttime chemistry should be areas of further mechanism improvement. © 2014 The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80631
Appears in Collections: 气候变化事实与影响
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作者单位: Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, United States; Department of Physical and Chemical Sciences, Center of Excellence for the Forecast of Severe Weather (CETEMPS), University of L'Aquila, L'Aquila, Italy; University of Murcia, Department of Physics, Physics of the Earth, Ed. CIOyN, Campus de Espinardo, Murcia, Spain; Atmospheric Modelling and Analysis Division, Environmental Protection Agency, Research Triangle Park, United States; Karlsruher Institut für Technologie (KIT), Institut für Meteorologie und Klimaforschung, Atmosphärische Umweltforschung (IMK-IFU), Kreuzeckbahnstr. 19, Garmisch-Partenkirchen, Germany; Section Environmental Meteorology, Division Customer Service, ZAMG - Zentralanstalt für Meteorologie und Geodynamik, Wien, Austria; Environmental Software and Modelling Group, Computer Science School - Technical University of Madrid, Campus de Montegancedo, Boadilla del Monte, Madrid, Spain; Laboratory for Air Pollution and Environmental Technology, Empa, Dübendorf, Switzerland; Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, 2800 Faucette Drive, #1125 Jordan Hall, Campus Box, United States
Recommended Citation:
Knote C,, Tuccella P,, Curci G,et al. Influence of the choice of gas-phase mechanism on predictions of key gaseous pollutants during the AQMEII phase-2 intercomparison[J]. Atmospheric Environment,2014-01-01,115