• FAQ
    • Deposit your work
    • Login
    View Item 
    •   Rice Scholarship Home
    • Faculty & Staff Research
    • George R. Brown School of Engineering
    • Civil and Environmental Engineering
    • Civil and Environmental Engineering Publications
    • View Item
    •   Rice Scholarship Home
    • Faculty & Staff Research
    • George R. Brown School of Engineering
    • Civil and Environmental Engineering
    • Civil and Environmental Engineering Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Constraining ozone-precursor responsiveness using ambient measurements

    Thumbnail
    Name:
    Constraining ozone-precursor ...
    Size:
    738.2Kb
    Format:
    PDF
    View/Open
    Author
    Digar, Antara
    Cohan, Daniel S.
    Xiao, Xue
    Foley, Kristen M.
    Koo, Bonyoung
    Yarwood, Greg
    Date
    2013
    Citation
    Digar, Antara, Cohan, Daniel S., Xiao, Xue, et al.. "Constraining ozone-precursor responsiveness using ambient measurements." Journal of Geophysical Research: Atmospheres, 118, (2013) 1005-1019. http://dx.doi.org/10.1029/2012JD018100.
    Published Version
    http://dx.doi.org/10.1029/2012JD018100
    Abstract
    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.
    Type
    Journal article
    Citable link to this page
    http://hdl.handle.net/1911/71542
    Metadata
    Show full item record
    Collections
    • Civil and Environmental Engineering Publications [90]
    • Faculty Publications [2827]

    Home | FAQ | Contact Us
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
     

     

    Browse

    Entire ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeThis CollectionBy Issue DateAuthorsTitlesSubjectsType

    My Account

    Login

    Statistics

    View Usage Statistics

    Home | FAQ | Contact Us
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892