DOI: 10.1016/j.atmosenv.2015.09.029
Scopus记录号: 2-s2.0-84942051851
论文题名: Modeling the uncertainty of several VOC and its impact on simulated VOC and ozone in Houston, Texas
作者: Pan S ; , Choi Y ; , Roy A ; , Li X ; , Jeon W ; , Souri A ; H
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 120 起始页码: 404
结束页码: 416
语种: 英语
英文关键词: Emission
; Houston
; Modeling
; OMI HCHO
; Ozone
; Process analysis
; VOC
Scopus关键词: Chemical analysis
; Ethylene
; Fighter aircraft
; Industrial emissions
; Models
; NASA
; Neutron emission
; Ozone
; Quality control
; Rural areas
; Uncertainty analysis
; Volatile organic compounds
; Houston
; OMI HCHO
; Ozone concentration
; Ozone monitoring instruments
; Process analysis
; Sensitivity Simulation
; Texas Commission on Environmental Quality
; Volatile organic compound (VOC)
; Ultraviolet spectrometers
; benzene
; ethane
; ethylene
; formaldehyde
; isoprene
; ozone
; toluene
; volatile organic compound
; xylene
; atmospheric chemistry
; benzene
; concentration (composition)
; emission inventory
; environmental quality
; ethylene
; isoprene
; model validation
; NSCAT
; ozone
; performance assessment
; rural area
; toluene
; uncertainty analysis
; urban area
; volatile organic compound
; xylene
; air pollution
; air quality
; aircraft
; Article
; automation
; cloud
; concentration (parameters)
; controlled study
; gas chromatography
; human
; industrial area
; measurement
; prediction
; priority journal
; remote sensing
; rural area
; simulation
; time series analysis
; uncertainty
; United States
; urban area
; wind
; Houston
; 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: A WRF-SMOKE-CMAQ modeling system was used to study Volatile Organic Compound (VOC) emissions and their impact on surface VOC and ozone concentrations in southeast Texas during September 2013. The model was evaluated against the ground-level Automated Gas Chromatograph (Auto-GC) measurement data from the Texas Commission on Environmental Quality (TCEQ). The comparisons indicated that the model over-predicted benzene, ethylene, toluene and xylene, while under-predicting isoprene and ethane. The mean biases between simulated and observed values of each VOC species showed clear daytime, nighttime, weekday and weekend variations. Adjusting the VOC emissions using simulated/observed ratios improved model performance of each VOC species, especially mitigating the mean bias substantially. Simulated monthly mean ozone showed a minor change: a 0.4 ppb or 1.2% increase; while a change of more than 5 ppb was seen in hourly ozone data on high ozone days, this change moved model predictions closer to observations. The CMAQ model run with the adjusted emissions better reproduced the variability in the National Aeronautics and Space Administration (NASA)'s Ozone Monitoring Instrument (OMI) formaldehyde (HCHO) columns. The adjusted model scenario also slightly better reproduced the aircraft HCHO concentrations from NASA's DISCOVER-AQ campaign conducted during the simulation episode period; Correlation, Mean Bias and RMSE improved from 0.34, 1.38 ppb and 2.15 ppb to 0.38, 1.33 ppb and 2.08 ppb respectively. A process analysis conducted for both industrial/urban and rural areas suggested that chemistry was the main process contributing to ozone production in both areas, while the impact of chemistry was smaller in rural areas than in industrial and urban areas. For both areas, the positive chemistry contribution increased in the sensitivity simulation largely due to the increase in emissions. Nudging VOC emissions to match the observed concentrations shifted the ozone hotspots outside the industrial/urban region and enhanced the peaked ozone in the outflow region with consistent southerly/southeasterly winds during the afternoon time (1-5 pm). This study helps in the understanding of these processes which are critical to constrain high peak ozone values in the outflow regions. The results indicate that formation of ozone in the outflow could complicate attainment status in neighboring counties. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82128
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Earth and Atmospheric Sciences, University of Houston, 312 Science and Research Building 1, Houston, TX, United States
Recommended Citation:
Pan S,, Choi Y,, Roy A,et al. Modeling the uncertainty of several VOC and its impact on simulated VOC and ozone in Houston, Texas[J]. Atmospheric Environment,2015-01-01,120