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A scaling analysis of ozone photochemistry

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  • معلومة اضافية
    • بيانات النشر:
      Copernicus Publications
    • الموضوع:
      2006
    • Collection:
      Directory of Open Access Journals: DOAJ Articles
    • نبذة مختصرة :
      A scaling analysis has been used to capture the integrated behaviour of several photochemical mechanisms for a wide range of precursor concentrations and a variety of environmental conditions. The Buckingham Pi method of dimensional analysis was used to express the relevant variables in terms of dimensionless groups. These grouping show maximum ozone, initial NO x and initial VOC concentrations are made non-dimensional by the average NO 2 photolysis rate ( j av ) and the rate constant for the NO–O 3 titration reaction ( k NO ); temperature by the NO–O 3 activation energy ( E NO ) and Boltzmann constant ( k ) and total irradiation time by the cumulative j av Δ t photolysis rate. The analysis shows dimensionless maximum ozone concentration can be described by a product of powers of dimensionless initial NO x concentration, dimensionless temperature, and a similarity curve directly dependent on the ratio of initial VOC to NO x concentration and implicitly dependent on the cumulative NO 2 photolysis rate. When Weibull transformed, the similarity relationship shows a scaling break with dimensionless model output clustering onto two straight line segments, parameterized using four variables: two describing the slopes of the line segments and two giving the location of their intersection. A fifth parameter is used to normalize the model output. The scaling analysis, similarity curve and parameterization appear to be independent of the details of the chemical mechanism, hold for a variety of VOC species and mixtures and a wide range of temperatures and actinic fluxes.
    • ISSN:
      1680-7316
      1680-7324
    • Relation:
      http://www.atmos-chem-phys.net/6/4067/2006/acp-6-4067-2006.pdf; https://doaj.org/toc/1680-7316; https://doaj.org/toc/1680-7324; https://doaj.org/article/a2f698a7ed9044068f6f83216c259006
    • الرقم المعرف:
      edsbas.874DF3D3