DOI: 10.1029/2012JD018100
论文题名: Constraining ozone-precursor responsiveness using ambient measurements
作者: Digar A. ; Cohan D.S. ; Xiao X. ; Foley K.M. ; Koo B. ; Yarwood G.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 2 起始页码: 1005
结束页码: 1019
语种: 英语
Scopus关键词: Bayesian networks
; Computer simulation
; Inference engines
; Nitrogen oxides
; Ozone
; Volatile organic compounds
; Ambient measurement
; Bayesian inference
; Chemical mechanism
; Evaluating model performance
; Oxides of nitrogen
; Photochemical modeling
; Probabilistic estimates
; Probabilistic representation
; Uncertainty analysis
; air quality
; ambient air
; atmospheric pollution
; concentration (composition)
; emission
; measurement method
; nitrogen oxides
; numerical model
; ozone
; photochemistry
; Texas
; United States
英文摘要: This study develops probabilistic estimates of ozone (O3) sensitivities to precursor emissions by incorporating uncertainties in photochemical modeling and evaluating model performance based on ground-level observations of O3 and oxides of nitrogen (NOx). Uncertainties in model formulations and input parameters are jointly considered to identify factors that strongly influence O3 concentrations and sensitivities in the Dallas-Fort Worth region in Texas. Weightings based on a Bayesian inference technique and screenings based on model performance and statistical tests of significance are used to generate probabilistic representation of O3 response to emissions and model input parameters. Adjusted (observation-constrained) results favor simulations using the sixth version of the carbon bond chemical mechanism (CB6) and scaled-up emissions of NOx, dampening the overall sensitivity of O3 to NOx and increasing the sensitivity of O3 to volatile organic compounds in the study region. This approach of using observations to adjust and constrain model simulations can provide probabilistic representations of pollutant responsiveness to emission controls that complement the results obtained from deterministic air-quality modeling. © 2012. American Geophysical Union. 资助项目: #087386
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64004
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
There are no files associated with this item.
作者单位: Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, MS-519, Houston, TX 77005, United States; National Exposure Research Laboratory, U.S. Environmental Protection Agency, Durham, NC, United States; ENVIRON International Corporation, Novato, CA, United States
Recommended Citation:
Digar A.,Cohan D.S.,Xiao X.,et al. Constraining ozone-precursor responsiveness using ambient measurements[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(2)