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EQuilibrium Criterion model

In this section the environmental distribution of PCAs will be estimated using Mackay s Equilibrium Criterion (EQC) level III fugacity model [79]. Level III refers to a steady state, nonequilibrium system among soil, air, and water compartments, with the chemical undergoing reactions or inputs and removal processes (advection, volatilization, deposition, photolysis, hydrolysis, and biodegradation). [Pg.228]

Achten et al. [21] simulated a German environment using the equilibrium criterion (EQC) model. MTBE concentrations of 0.02 xg L in surface water and 0.17 xg/m in air were estimated from the year-round scenario at 10 °C. Lower MTBE concentrations in atmospheric and aqueous compartments in summer were explained by higher degradation rates at higher temperatures. [Pg.53]

The most reliable estimates of the parameters are obtained from multiple measurements, usually a series of vapor-liquid equilibrium data (T, P, x and y). Because the number of data points exceeds the number of parameters to be estimated, the equilibrium equations are not exactly satisfied for all experimental measurements. Exact agreement between the model and experiment is not achieved due to random and systematic errors in the data and due to inadequacies of the model. The optimum parameters should, therefore, be found by satisfaction of some selected statistical criterion, as discussed in Chapter 6. However, regardless of statistical sophistication, there is no substitute for reliable experimental data. [Pg.44]

Figure 1. Chemical potentials of the three phases of matter (H, Q, and Q ), as defined by Eq. (2) as a function of the total pressure (left panel) and energy density of the H- and Q-phase as a function of the baryon number density (right panel). The hadronic phase is described with the GM3 model whereas for the Q and Q phases is employed the MIT-like bag model with ms = 150 MeV, B = 152.45 MeV/fm3 and as = 0. The vertical lines arrows on the right panel indicate the beginning and the end of the mixed hadron-quark phase defined according to the Gibbs criterion for phase equilibrium. On the left panel P0 denotes the static transition point. Figure 1. Chemical potentials of the three phases of matter (H, Q, and Q ), as defined by Eq. (2) as a function of the total pressure (left panel) and energy density of the H- and Q-phase as a function of the baryon number density (right panel). The hadronic phase is described with the GM3 model whereas for the Q and Q phases is employed the MIT-like bag model with ms = 150 MeV, B = 152.45 MeV/fm3 and as = 0. The vertical lines arrows on the right panel indicate the beginning and the end of the mixed hadron-quark phase defined according to the Gibbs criterion for phase equilibrium. On the left panel P0 denotes the static transition point.
When combined with the ideal-gas and ideal-solution models of phase behavi the criterion of vapor/liquid equilibrium produces a simple and useful equati known as Raoult s law. Consider a liquid phase and a vapor phase, both compris of N chemical species, coexisting in equilibrium at temperature T and pressil P, a condition of vapor/liquid equilibrium for which Eq. (10.3) becomes... [Pg.163]

The self-consistent theoretical models based on the Boltzmann transport theory are used to characterize the microscale heat transfer mechanism by explaining mutual interactions among lattice temperature, and number density and temperature of carriers [12]. Especially, a new parameter related with non-equilibrium durability is introduced and its characteristics for various laser pulses and fluences are discussed. This study also investigates the temporal characteristics of carrier temperature distribution, such as the one- and two-peak structures, according to laser pulses and fluences, and establishes a regime criterion between one-peak and two-peak sttuctures for picosecond laser pulses. [Pg.293]

These remarks apply equally to the complementary unimolecular reaction and it is helpful to look at the unimolecular reaction to begin with, always bearing in mind that association and dissociation are connected via the equilibrium constant. In Section 2.4.4 it was shown that for the RRKM model, the microcanonical rate coefficient is proportional to the sum of states, G, at the transition state, which is a function of the energy, E. Application of the minimum flux criterion means that G must be altered... [Pg.193]

The criterion for chemical reaction equilibrium is thus that the energy difference between reactants and products is zero, AfiR = 0. Hence, we can define the equilibrium constant for the model reaction by ... [Pg.672]

Different approaches to modeling the ternary S-L-V equilibrium reported so far essentially differ in the calculation procedure adopted for the S-L equilibrium. For example, the liquid phase composition in the ternary S-L equilibrium for different pressures at any temperature may be calculated by means of (a) the expanded liquid EOS and activity coefficient model, (b) the EOS model, or (c) the PMVF of solvent. Subsequently, the isofugacity criterion for the L-V equilibrium is considered to predict the bubble point pressure and the vapor phase composition to ensure that all three (S-L-V) phases will coexist. Clearly, the ternary liquid and vapor phase mole fractions can be... [Pg.73]

A recently developed model for the S-L-V equilibrium (63) utilizes the PMVF of the solvent in a binary mixture and the solute solubility at a reference pressure. This approach uses Eq. (50) to predict the ternary liquid mole fractions for the S-L equilibrium at different CO2 mole fractions corresponding to different pressures and at a fixed temperature. Next the pressure is adjusted to satisfy the isofugacity criterion for the L-V equilibrium, to permit the prediction of the vapor phase composition at which all three (S-L-V) phases coexist. This is repeated for other temperatures to obtain the P-T trace of the S-L-V equilibrium. The P-T trace for the constant liquid phase composition of the... [Pg.77]

Calculation of Saturation Indices from solution chemistry can also be a useful elimination tool (Plummer et al., 1991). Models that precipitate minerals that are undersaturated and dissolve minerals that are supersaturated may not be realistic. The modelers must be cautious, however, in using this criterion. Inverse modeling calculates the net mass changes along a flow path, often a few kilometers apart. It does not consider the point to point mass transfer or equilibrium state along the flow path. A mineral phase may precipitate in one segment of the path, but dissolve in another. [Pg.183]

Tissue action level - link sediment concentration to safe tissue concentration (e.g., FDA action level or body burden-response data) through application of equilibrium or kinetic models (numerical criterion). [Pg.118]


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See also in sourсe #XX -- [ Pg.296 ]




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