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Scales of Interest

In geochemical models, these quantities represent the smallest time period for incremental steps in a simulated titration, or the smallest distance between grid points in a finite element or finite difference grid, if LEQ is to be a valid assumption. Or, as Knapp puts it, reactive transport calculations assuming LEQ are good approximations only if teq is less than the size of the time step, and /eq is less than the distance between adjacent grid points. [Pg.69]

This problem is obviously enormously complex, with many different factors involved, especially if we wish to consider the range of conditions mentioned above. Knapp (1989) simplifies the problem by (i) collapsing many of the controlling parameters into two dimensionless parameters and (ii) considering only one spatial dimension, one heterogeneous reaction, and one component. [Pg.69]

The various factors controlling the time it takes for this pulse of fluid to reach equilibrium, and the distance it travels during that time, are combined into the Damkohler [Pg.69]

Barred quantities are averages over a representative volume. [Pg.70]

The Damkohler number expresses the rate of reaction relative to the advection or fluid flow rate. A large Da value means that reaction is fast relative to transport and that [Pg.70]


As it stands this method can hardly be applied to activities of the scale of interest. Indeed, regarding temperature, pressure and volume the thresholds used are far too critical. The distinction between continuous and discontinuous techniques does not seem of any use in this context. There are a lot of situations that often arise under smaller scale conditions which are missing for instance, glass materials, activities outside working hours or unsupervised handling, etc. [Pg.157]

Meanwhile, evidence continues to mount that the unfolded state is far from a random chain at length scales of interest, even under strongly... [Pg.17]

Geochemical models can be conceptualized in terms of certain false equilibrium states (Barton et al., 1963 Helgeson, 1968). A system is in metastable equilibrium when one or more reactions proceed toward equilibrium at rates that are vanishingly small on the time scale of interest. Metastable equilibria commonly figure in geochemical models. In calculating the equilibrium state of a natural water from a reliable chemical analysis, for example, we may find that the water is supersaturated with respect to one or more minerals. The calculation predicts that the water exists in a metastable state because the reactions to precipitate these minerals have not progressed to equilibrium. [Pg.9]

The properties of membranes commonly studied by fluorescence techniques include motional, structural, and organizational aspects. Motional aspects include the rate of motion of fatty acyl chains, the head-group region of the phospholipids, and other lipid components and membrane proteins. The structural aspects of membranes would cover the orientational aspects of the lipid components. Organizational aspects include the distribution of lipids both laterally, in the plane of the membrane (e.g., phase separations), and across the membrane bilayer (phospholipid asymmetry) and distances from the surface or depth in the bilayer. Finally, there are properties of membranes pertaining to the surface such as the surface charge and dielectric properties. Fluorescence techniques have been widely used in the studies of membranes mainly since the time scale of the fluorescence lifetime coincides with the time scale of interest for lipid motion and since there are a wide number of fluorescence probes available which can be used to yield very specific information on membrane properties. [Pg.231]

The polarization properties of light in combination with fluorescence can be used as a powerful tool for determining motional properties of membranes. This is possible due to the fact that the time scale of interest for membrane lipids falls within the time frame of the fluorescence decay phenomena (0-100+ ns). This, coupled with high sensitivity, low perturbing properties of fluorescent probes, and the large number of available probes, makes the fluorescence approach the method of choice for membrane motional studies. [Pg.239]

We will generally not be concerned here with chemical reactions, so the Ri term can be omitted, in which case the subscript i denoting species is no longer required. In addition, for the turbulent flows of interest the molecular diffusion term in Eq. (2.1) may be neglected. [Although for the spatial scales of interest to us the molecular diffusion term may be neglected, molecular and turbulent diffusion are not independent, linearly additive, physical processes (Saffman, I960).] As a result of the above two simplifications, Eq. (2.1) becomes... [Pg.213]

Another classification of model is related to the time and space scales of interest. Ambient air quality standards are stated for measurement averaging periods varying from an hour to a year. However, for computational purposes, it is often necessary to use periods of less than an hour for a typical resolution-cell size in a model. Spatial scales of interest vary from a few tenths of a meter (e.g., for the area immediately adjacent to a roadway) up to hundreds of kilometers (e.g., in simulations that will elucidate urban-rural interactions). Large spatial scales are also warranted when multiday simulations are necessary for even a moderate-sized urban area. Under some climatologic conditions, recirculations can cause interaction of today s pollution with tomorrow s. Typical resolution specifications couple spatial scales with temporal sc es. Therefore, the full matrix of time scales and space scales is not needed, because of the dependence of time scales on space scales. Some typical categories by scale are as follows ... [Pg.204]

Due to the core importance of the SEI formation on carbonaceous anodes, the majority of the research activities on additives thus far aim at controlling the chemistry of the anode/electrolyte interface, although the number of publications related to this topic is rather limited as compared with the actual scale of interest by the industry. Table 9 summarizes the additives that have been described in the open literature. In most cases, the concentration of these interface-targeted additives is expected to be kept at a minimum so that the bulk properties of the electrolytes such as ion conduction and liquid ranges would not be discernibly affected. In other words, for an ideal anode additive, its trace presence should be sufficient to decouple the interfacial from bulk properties. Since there is no official standard available concerning the upper limit on the additive concentration, the current review will use an arbitrary criterion of 10% by weight or volume, above which the added component will be treated as a cosolvent instead of an additive. [Pg.127]

A much-simplified classification, based on these tables, is shown in Table 4.6. The scale of interest is very different for trace chemical or odor plumes from that for which the original classification system was developed. Therefore, it is proposed that the simplified classification scheme of Table 4.6 will be sufficiently applicable to provide an indication of the more and the less favorable conditions for following plumes. In this presentation the lighter shading denotes those conditions that are generally more favorable darker shading indicates more instability and hence less well defined plumes. [Pg.100]

An example of this work is that of Farrell and co-workers [34], They present a rather complex model to attempt to account for the effects of fluid motion and turbulence in three different levels of scale, relative to the plume. They begin with classical equations of motion, but by breaking their particle velocity vector into three components related to the three scales of interest, they are able to introduce appropriate statistical descriptions for the components. The result is a model that retains both the diffusive and the filamentary nature of the plume. [Pg.104]

Thus, depending on the mode of transport which is operative on the length and time scales of interest, any value for the dynamic exponent z between 5 and 8 can be expected for the surface diffusion case. Smaller values of z are also conceivable if the rare-event dominated top terrace dissociation or a miscut enters the game. A detailed analysis, however, is beyond the scope of present article. [Pg.178]

The flux rate will be constant with z, unless we are very close to equilibrium or there are sources or sinks of hydroxylbenzene in the container. At the interface, equilibrium is assumed between the air and water phases. This equilibrium may only exist for a thickness of a few molecules, but is assumed to occur quickly compared with the time scale of interest. The concentrations at this air-water interface are related by the following equation ... [Pg.196]

There is no restriction on the magnitudes of f, and f , except that they must be infinitesimally small on the energy scale of interest. To insure compatibility of the treatment of Chock, Jortner, and Rice8 with the analysis of Bixon and Jortner in the statistical limit we must impose the condition... [Pg.209]

Figure 1. Size and time scales of interest for environmental aerosols. Figure 1. Size and time scales of interest for environmental aerosols.
A more subtle problem occurs for quantities involving several characteristic length scales, Consider for instance the density correlation function in the limit of large momenta (qi ff)2 > 1 where 1/q defines a length scale of interest, which is much smaller than Rg. In the excluded volume limit simple scaling considerations (cf. Sect. 9.1, Eq. (9.20)) suggest... [Pg.220]

Hereafter we put /ig = 1. Below we express our results in terms of the statistical properties (correlators) of the environment s noise, X(t). Depending on the physical situation at hand, one can choose to model the environment via a bath of harmonic oscillators [6, 3]. In this case the generalized coordinate of the reservoir is defined as X = ]T)Awhere xi are the coordinate operators of the oscillators and Aj are the respective couplings. Eq. 2 is then referred to as the spin-boson Hamiltonian [8]. Another example of a reservoir could be a spin bath [11] 5. However, in our analysis below we do not specify the type of the environment. We will only assume that the reservoir gives rise to markovian evolution on the time scales of interest. More specifically, the evolution is markovian at time scales longer than a certain characteristic time rc, determined by the environment 6. We assume that rc is shorter than the dissipative time scales introduced by the environment, such as the dephasing or relaxation times and the inverse Lamb shift (the scale of the shortest of which we denote as Tdiss, tc [Pg.14]

The above-mentioned values for the critical dimensions should be considered like approximations. In fact, a UME with a critical dimension of 25 pm is not totally different from another of 30 pm. Nevertheless, sometimes the terms UME and, specially, NE are erroneously employed. Today, in keeping with other aspects of nanotechnology and nanoscience, the electrochemical scale of interest is around 100 nm (far from the scale of the nanoelectrodic behaviour). Perhaps, the term ERD (electrodes with reduced dimensions) is more adequate for UMEs and those NEs (i.e. electrodes whose critical dimension is between 25 pm and 10 nm), because their electrochemical behaviours are the same. [Pg.772]

At the ecosystem level, the principal goals of the biogeochemical process approach are to trace the mass flow of carbon and nutrients along particular process paths and to estimate mass balances. If we reduce the scale of interest from the ecosystem to the community, the focus shifts to descriptions of the extracellular biochemical pathways that process specific DOM components (Fig. 5). For this overview, we restrict our discussion to general observations and conjectures about various classes of substrates rather than attempt to review each of the pathways shown in Fig. 5. [Pg.434]

Unlike elemental concentrations, isotopic compositions are only affected a little by chemical differentiation processes. Mass-dependent isotopic fractionations can arise in chemical partitioning (cf. Section 2.9), of course, but on the scale of interest in the present context, plausible fractionation effects are small, especially at the high temperatures prevalent in the mantle. We can thus be much more confident that a noble gas isotopic composition measured in a mantle-derived sample is indeed characteristic of its mantle source. Representative mantle ranges for selected isotopic ratios are presented in Table 6.2. [Pg.178]

In terms of fatigue, the materials science community has revealed different length scales of interest as well. Local inclusion/defects, such as pores, second phase particles, inclusions, and constituents, could induce local stress concentrations... [Pg.98]


See other pages where Scales of Interest is mentioned: [Pg.536]    [Pg.536]    [Pg.218]    [Pg.8]    [Pg.544]    [Pg.17]    [Pg.263]    [Pg.456]    [Pg.438]    [Pg.290]    [Pg.37]    [Pg.13]    [Pg.290]    [Pg.1149]    [Pg.15]    [Pg.15]    [Pg.726]    [Pg.97]    [Pg.9]    [Pg.339]    [Pg.536]    [Pg.536]    [Pg.178]    [Pg.229]    [Pg.483]    [Pg.130]    [Pg.555]    [Pg.95]    [Pg.98]    [Pg.272]   


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