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Model-calculated evolution

Figure 1 shows the model-calculated evolution of total sulfide with time for six different OH input values. As expected, the initial S(-II) oxidation rate increases with increasing OHinput. But that initial linear decrease of [S(—II)] is halted at [S(—II)] — 55 jlM in all cases. Figure 2 explains why the main oxidant in our system turns out to be molecular oxygen present in the solution. The ratio of [S(-II)]oxidized is about 1.7 in all cases, a result showing... [Pg.248]

In a recent paper [11] this approach has been generalized to deal with reactions at surfaces, notably dissociation of molecules. A lattice gas model is employed for homonuclear molecules with both atoms and molecules present on the surface, also accounting for lateral interactions between all species. In a series of model calculations equilibrium properties, such as heats of adsorption, are discussed, and the role of dissociation disequilibrium on the time evolution of an adsorbate during temperature-programmed desorption is examined. This approach is adaptable to more complicated systems, provided the individual species remain in local equilibrium, allowing of course for dissociation and reaction disequilibria. [Pg.443]

A good account of the chemical evolution of the Galaxy, giving details of the phases of stellar evolution and model calculations, is provided in the monograph by Matteucci (2001). [Pg.299]

Figure 16. Experimentally measured evolution of the SH pulse spectral width relative to the fundamental spectral width for the bulk KNh03 crystal (data points), and the theoretical prediction of our model calculated for L/L, = 30, as a function of the ratio b/L. ... Figure 16. Experimentally measured evolution of the SH pulse spectral width relative to the fundamental spectral width for the bulk KNh03 crystal (data points), and the theoretical prediction of our model calculated for L/L, = 30, as a function of the ratio b/L. ...
Recent theoretical gas phase model calculations leading to the observed molecular complexity are discussed together with a critical evaluation of gas phse versus grain syntheses of interstellar molecules. Finally the question of how large interstellar molecules can be is addressed, seen in the light of chemical evolution. [Pg.120]

Junge, C.E., Schidlowski, M., Eichmann, R. and Pietrek, 1975. Model calculations for the terrestrial carbon cycle Carbon isotope geochemistry and evolution of photosynthetic oxygen. J. Geophys. Res., 80 4542—4582. [Pg.65]

In stochastic Lagrangian particle models, the evolution of the concentration field is computed in a two-step process. First, the Eulerian velocity field in the region of interest must be calculated, either by solution of the Navier-Stokes equations or via an approximate method that satisfies mass consistency. The solution must also provide the local statistics of the velocity field. Individual particles are then released, and their position is updated over a time increment dt using an equation of the form (Wilson and Sawford 1996)... [Pg.53]

Obstacles to modelling the evolution of quantum state populations under multiple collisions primarily arise from the complexity of standard collision theory. An accurate PES is needed for all potential collision partners in a gas mixture and some species will be in highly excited states. State-to-state collision calculations are highly computer intensive for even the simplest of processes and, without a major increase in computational speed, are not suited to multiple, successive calculations. By contrast, the AM method is fast, accurate and calculations for atoms and/or diatomic molecules require only readily available data such as molecular bond length, atomic mass, spectroscopic constants and collision energy. [Pg.140]

Some of the efforts, so far, to model such membrane bioreactors seem to not have considered the complications that may result from the presence of the biomass. Tharakan and Chau [5.101], for example, developed a model and carried out numerical simulations to describe a radial flow, hollow fiber membrane bioreactor, in which the biocatalyst consisted of a mammalian cell culture placed in the annular volume between the reactor cell and the hollow fibers. Their model utilizes the appropriate non-linear kinetics to describe the substrate consumption however, the flow patterns assumed for the model were based on those obtained with an empty reactor, and would probably be inappropriate, when the annular volume is substantially filled with microorganisms. A model to describe a hollow-fiber perfusion system utilizing mouse adrenal tumor cells as biocatalysts was developed by Cima et al [5.102]. In contrast, to the model of Tharakan and Chau [5.101], this model took into account the effect of the biomass, and the flow pattern distribution in the annular volume. These effects are of key importance for conditions encountered in long-term cell cultures, when the cell mass is very dense and small voids can completely distort the flow patterns. However, the model calculations of Cima et al. [5.102] did not take into account the dynamic evolution of the cell culture due to growth, and its influence on the permeate flow rate. Their model is appropriate for constant biocatalyst concentration. [Pg.214]


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See also in sourсe #XX -- [ Pg.240 ]

See also in sourсe #XX -- [ Pg.240 ]




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Evolution models

Model calculations

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