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Transport model relationships

The purpose of laboratory testing to obtain contaminant-solid phase relationships is not only to obtain some insight into the accumulation and transmission characteristics of the solid materials with specific regard to the contaminants) of interest, but also to obtain physical input for transport modeling and chemodynamic purposes. It is also most important to conduct tests with the actual contaminant leachate or chemical species and also with the solid particle samples representative of the field matrix. [Pg.233]

Shir (1973) developed the following relationship from a study of a onedimensional version of a turbulent transport model for extrapolation above the surface layer ... [Pg.281]

In Section IB we presented experimental evidence that diffusion coefficients correlate with PVC main-chain polymer motions. This relationship has also been justified theoretically (12). In the previous section we demonstrated that the presence of CO2 effects the cooperative main-chain motions of the polymer. The increase in with increasing gas concentration means that the real diffusion coefficient [D in eq. (11)] must also increase with concentration. The nmr results reflect the real diffusion coefficients, since the gas concentration is uniform throughout the polymer sample under the static gas pressures and equilibrium conditions of the nmr measurements. Unfortunately, the real diffusion coefficient, the diffusion coefficient in the absence of a concentration gradient, cannot be determined from classical sorption and transport data without the aid of a transport model. Without prejustice to any particular model, we can only use the relative change in the real diffusion coefficient to indicate the relative change in the apparent diffusion coefficient. [Pg.109]

Based on this information and these relationships a model framework can now be developed, Fig. 34. The four primary inputs to the model are the crevice propagation rate as a function of 02 concentration and temperature (A and B), a knowledge of the time-evolution of temperature and oxygen concentration within the waste vault (C), and a transport model for the flux of 02 to the container... [Pg.247]

The accuracy of the permeability method depends on the available relationship between the permeability parameters B0 and Kt and the structural parameters of porous media. When the pore texture is not sufficiently random and uniform, the accuracy of Equations 3.3 and 3.6 (and consequently of the method) becomes poor. This is a serious disadvantage of the permeability method, compared to the adsorption method, which does not depend on the pore texture. Nevertheless, permeability measurements are indicative of the porous structure and are useful for the determination of the parameters of the transport models. Various other experiments on flow and diffusion are also indicative of the texture of the porous particles. Some are discussed in Chapter 5. [Pg.38]

It is important to note that, except for the heat transfer problems, which have not been considered here, the model contains, in a particular form, all the transport phenomena relationships given at the start of this chapter. From the mathematical viewpoint, we have an assembly of differential and partly differential equations, which show the complexity of this example. However, this relative mathematical complexity can be matched with the simplicity of the descriptive model. Indeed, it will be convenient to simplify general mathematical models in order to comply with the descriptive model. Two variants can be selected to simplify the flow characterization in the membrane filtration unit. [Pg.53]

Once this interpretation has been established, MODEL.LA. (a) generates all the requisite modeling elements and (b) constructs the modeling relationships, such as material balances, energy balance, heat transfer between jacket and reactive mixture, mass transport between the two liquid phases, equilibrium relationships between the two phases, estimation of chemical reaction rate, estimation of chemical equilibrium conditions, estimation of heat generated (or consumed) by the reaction, and estimation of enthalpies of material convective flows. In order to automate the above tasks, MODEL.LA. must possess the following capabilities ... [Pg.79]

A number of quick-test techniques have been used widely to estimate the extent of sorption of pesticides to soils, and these estimates are often used in pesticide transport models. The most commonly used technique is to determine the ratio of distribution of a chemical, often at one concentration, between the solution and soil solid phases (K-) or simply the distribution between water and octanol phases CK ). The use of K, as an index of adsorption assumes that the stribution ratio is constant over a range of concentrations of the chemical in the soil. In other words, the amount of chemical adsorbed increases linearly with that remaining in the solution. The linear relationship may be valid over a narrow... [Pg.9]

Pang S., Relationship between a diffusion model and a transport model for softwood drying. Wood and Fiber Science 29(1), 1997, 58-67. [Pg.62]

Pang, S. Relationship Between a Diffusion Model and a Transport Model for Softwood Drying, Wood and Fiber Science, 1997,29(1) 58-67. [Pg.205]

This relationship shows that under the equilibrium assumption, the total free energy functional for the charge transport model reduces to the equilibrium solvation model presented earlier (Eq. 12.12). Furthermore, for the surface-driven functions of the generalized LB equation, it is easy to show [75] that under the equilibrium constraint, one has ... [Pg.440]

Figure 1. Based on these values. Figure 1 includes the theoretical relationship between Kd and [NH4 ] according to equation (8). The interpretation of the radiocesium KdS in Figure 1 clearly shows that Cs in the aquatic environment obeys ion-exchange theory. The ion-exchange model allows the Kp of this radionuclide in sediment transport models to be predicted from environmental variables (i.e. the quantity of FES in the sediments and the pore-water concentration), rather than to be erroneously treated as a constant. Figure 1. Based on these values. Figure 1 includes the theoretical relationship between Kd and [NH4 ] according to equation (8). The interpretation of the radiocesium KdS in Figure 1 clearly shows that Cs in the aquatic environment obeys ion-exchange theory. The ion-exchange model allows the Kp of this radionuclide in sediment transport models to be predicted from environmental variables (i.e. the quantity of FES in the sediments and the pore-water concentration), rather than to be erroneously treated as a constant.
Sustaining the transport model, further non-linear representations of the observed structure-activity relationships were derived. According to the McFarland model (Seydel and Schaper, 1979 Kubinyi 1993), the probability of a drug reaching the receptor after passing several membranes depends on its lipophilicity in a symmetrical manner with linearly increasing and decreasing sides of the curve ... [Pg.75]

The extraction process can be modeled using various relationships between the parameters. These relations contain models with specific coefficients, e.g., mass transport models. The coefficients of these models may be obtained by independent methods, but can be calculated by fitting the result of the extraction to the model. The goal of the modeling procedure is to get a sufficient quantitative representation of the process with a simple system of equations and few and physically meaningful parameters. [Pg.524]


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