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Theoretical correction factor

The size distributions of the particles in cloud samples from three coral surface bursts and one silicate surface burst were determined by optical and electron microscopy. These distributions were approximately lognormal below about 3/x, but followed an inverse power law between 3 and ca. 60 or 70p. The exponent was not determined unequivocally, but it has a value between 3 and 4.5. Above 70fi the size frequency curve drops off rather sharply as a result of particles having been lost from the cloud by sedimentation. The effect of sedimentation was investigated theoretically. Correction factors to the size distribution were calculated as a function of particle size, and theoretical cutoff sizes were determined. The correction to the size frequency curve is less than 5% below about 70but it rises rather rapidly above this size. The corrections allow the correlation of the experimentally determined size distributions of the samples with those of the clouds, assuming cloud homogeneity. [Pg.368]

Theoretical Correction Factors for In Situ, Solid Plate MTC... [Pg.321]

Table 3.1 provides some theoretical correction factors for the van der Waals EOS, calculated based on the critical-point data. Although inconvenient to use, improved accuracy can be achieved by using empirically derived correction factors, rather than the theoretical values determined from Eqs. (3.3) and (3.4). Such data are available for many species but are rarely, if ever, needed in the study of fuel cells. [Pg.65]

Another principal difficulty is that the precise effect of local dynamics on the NOE intensity cannot be determined from the data. The dynamic correction factor [85] describes the ratio of the effects of distance and angular fluctuations. Theoretical studies based on NOE intensities extracted from molecular dynamics trajectories [86,87] are helpful to understand the detailed relationship between NMR parameters and local dynamics and may lead to structure-dependent corrections. In an implicit way, an estimate of the dynamic correction factor has been used in an ensemble relaxation matrix refinement by including order parameters for proton-proton vectors derived from molecular dynamics calculations [72]. One remaining challenge is to incorporate data describing the local dynamics of the molecule directly into the refinement, in such a way that an order parameter calculated from the calculated ensemble is similar to the measured order parameter. [Pg.270]

Interestingly, it turns out that despite the differing functions of the expansion index, , the correction factor, g(e), is approximately constant at the extremes of the flow regimes due to the particular values of the expansion index. The value of n is not known entirely theoretically but can be obtained from the Richardson and Zaki equation. Thus At low RCp ( = 4.6)... [Pg.34]

Interpolation methods based on N chemical shifts require the use of the general equations.Those reported in the previous edition (76AHCSl,p. 29, see also 82JOC5132) have been slightly modified for the present purpose. We call / x the observed average property, and the property of the individual tautomers (A or B), / ma and / mb a corresponding property that can be measured (in a model compound or in the solid state) or calculated theoretically, and P and / b the correction factors defined as P = -... [Pg.37]

A terminal chain may rearrange similarly, but each of a pair of entangled internal chains is prevented from doing so by the permanent chemical structure, as is clear from Fig. 93. Inasmuch as the terminal chains are not thus involved, we should expect the correction factors for terminal chains occurring in Eqs. (30) and (30 ) to be valid. The correction for entanglements should be expected to enter as a factor modifying the entire expression for Ve. Unfortunately, there is at present no theoretical basis from which to estimate this factor, except to note that it presumably will be a function of p. [Pg.464]

A variety of theoretical expressions, as well as experimental values, for the correction factor A as a function of the power law flow index ( ) were summarized by Chhabra (1992). [Pg.353]

Fundamental Parameters (FP) are universal standardless, factory built-in calibration programs that describe the physics of the detector s response to pure elements, correction factors for overlapping peaks, and a number of other parameters to estimate element concentration while theoretically correcting for matrix discrepancies (e.g., Figure 1987). FP should be used for accurately measuring samples of unknown chemical composition in which concentrations of light and heavy elements may vary from ppm to high percent levels. [Pg.84]

In recognition of the work of Strehlow and coworkers, Gagne, Koval, and Lisen-sky [7] recommended that ferrocene be used as an internal standard for all potential measurements in nonaqueous solvents and that its aqueous potential of +0.400 V relative to the standard hydrogen electrode (SFIE) could be considered to represent a consistent correction factor in referencing all nonaqueous potential measurements to aqueous SHE. This recommendation is somewhat in disagreement with the conclusion of Strehlow and coworkers who, on the basis of theoretical considerations, suggested that the potential of the ferrocene couple in acetonitrile should be... [Pg.994]

This chapter will first provide some basics on ozone mass transfer, including theoretical background on the (two-) film theory of gas absorption and the definition of over-all mass transfer coefficients KLa (Section B 3.1) as well as an overview of the main parameters of influence (Section B 3.2). Empirical correction factors for mass transfer coefficients will also be presented in Section B 3.2. These basics will be followed by a description of the common methods for the determination of ozone mass transfer coefficients (Section B 3.3) including practical advice for the performance of the appropriate experiments. Emphasis is laid on the design of the experiments so that true mass transfer coefficients are obtained. [Pg.81]


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Correction factors

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