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Near-field integral calculation

Assuming the location of the source xs is known (Figures 2.3, 2.5, 2.10, 2.11, 2.12 and 2.13) calculations of the near field dispersion first depend on the effective source scale Lse (which determines where the matter is dispersed by atmospheric motion) in relation to the separation distance between the buildings d. A finite volume of source material is initiated at time ts. If ls < d, then the matter disperses as if from a small isolated source. Given the time variation of the source strength <2(xs, t) the average concentration at a point x and time t can be calculated as a time integral from the initiation of the source to the measurement time t ... [Pg.52]

The appearance of personal computers accelerated quantitative work in the field of chromatography. Very soon, programs for integration, calculation of concentrations, and documentation were prepared with the option of manual construction of a baseline, if desired by analyst s decision. Nevertheless, when the number of programs prepared for TLC is compared with the number of integration programs prepared for elution chromatography, it is seen that little useful software is available today and that nearly all of it has been prepared by hardware producers. [Pg.294]

A problem common to all three, RBM, TC, and FMM, is the near-field interaction (via analytical integration) between those partitions that are not well separated, which contributes substantially to the total cost of the calculation. In some quantum chemistry applications, the cost is dominated by this near-field interaction, and therefore it would make little difference which method (RBM, TC, or FMM) is used. [Pg.1508]

The fifth approach is more a field than a concise method, since it embodies so many theoretical concepts and associated methods. All are grouped together as adsorbed mixture models. Basically, this involves treating the adsorbed mixture in the same manner that the liquid is treated when doing VLE calculations. The major distinction is that the adsorbed phase composition cannot be directly measnred (i.e., it can only be inferred) hence, it is difficult to pursue experimentally. A mixture model is nsed to account for interactions, which may be as simple as Raoult s law or as involved as Wilson s equation. These correspond roughly to the Ideal Adsorbed Solution theory and Vacancy Solution model, respectively. Pure component and mixture equilibrium data are required. The unfortunate aspect is that they require iterative root-finding procedures and integration, which complicates adsorber simnlation. They may be the only route to acceptably accurate answers, however. It would be nice if adsorbents could be selected to avoid both aspects, but adsorbate-adsorbate interactions may be nearly as important and as complicated as adsorbate-adsorbent interactions. [Pg.1140]

Equation 3-65 can be integrated numerically to calculate neurotransmitter concentrations within the receptor disk as a function of relative position of the disk with respect to the vesicle opening (Figure 3.12d). This model demonstrates that receptor fields on the postsynaptic membrane must be near the vesicle to receive sufficient amounts of the released transmitter chemical to become activated. Receptor disks that are laterally displaced > 200 nm from the vesicle opening will not be affected by neurotransmitter. [Pg.48]


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