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Sedimentation data

Equations to calculate size distributions from sedimentation data are based on the assumption that the particles fall freely in the suspension. In order to ensure that particle-particle interactton does not prevent free fall, an upper-volume concentration hmit of around 0.2 percent is recommended. [Pg.1825]

Figure 49. Extrapolation of sedimentation data to estimate time for critical concentration. Figure 49. Extrapolation of sedimentation data to estimate time for critical concentration.
Once a general conformation type or preliminary classification has been established it is possible to use sedimentation data to obtain more detailed information about polysaccharide conformation. For example, the low value of ks/[v 0 25 found for the bacterial polysaccharide xylinan has been considered to be due to asymmetry [115]. If we then assume a rigid structure the approximate theory of Rowe [36,37] can be applied in terms of a prolate ellipsoid of revolution to estimate the aspect ratio p L/d for a rod, where L is the rod length and d is its diameter) 80. [Pg.239]

Parameters for which measured values are not clearly defined or readily available are often determined through calibration with observed data. In watershed chemical fate modeling, calibration has traditionally been associated with hydrologic parameters (e.g., erodibility coefficients, scour and deposition rates) because the required flow and sediment data are often available. Although initial parameter values can always be estimated, calibration is usually recommended to account for local and spatial variations. [Pg.160]

Reservoir sedimentation data allow estimating sediment loads of regulated catchments, although it is important to note that this sedimentation represents a fraction of the true yield since reservoir sediment trapping efficiency is usually... [Pg.36]

Many inert pigments (often known as fillers) are incorporated into paper in addition to the cellulosic fibres. They may be added to improve certain optical properties—in particular opacity and brightness—or simply as a cheap replacement for costly fibre. The two most common pigments are kaolin (china clay) and chalk (limestone), but talc and speciality pigments such as titanium dioxide are also used. The particle size for general purpose fillers is normally expressed as an equivalent spherical diameter (esd) and this is determined from sedimentation data. Values for the common paper-... [Pg.92]

Producing soil or sediment data which cannot be compared directly with other total petroleum hydrocarbons data or guidelines because one is expressed in dry weight and the other in wet weight. [Pg.230]

Mineral data from Mindat.org (www.mindat.org/index.php). Sediments data from Hamilton, L. (1976). Journal of Sedimentary Petrology 46, 2, 280-300. [Pg.336]

NURE geochemical samples were not collected over the concealed Pebble deposit making it difficult to directly define the mineralization signature in the regional geochemical database. New pending pond sediment data will help rectify this. [Pg.347]

It was just noted that the case of spherical particles is one in which the friction factor can be eliminated from Equation (4), yielding a result that permits the mass of a spherical particle to be evaluated from sedimentation data alone. To see how this works, we return to Equation (3), using Equation (8) to evaluate / and (4/3)irRl as a substitution for V. Thus, for a spherical particle, Equation (3) becomes... [Pg.69]

EXAMPLE 2.1 Analyzing Cumulative Sedimentation Data for Most Probable Settling Velocity. The following data show—as a function of time—the weight (as percentage of total) of suspended clay particles W, which has accumulated on a plate submerged 20 cm beneath the surface in a sedimentation experiment (Oden 1915). [Pg.72]

EXAMPLE 2.4 Solvation and Ellipticity of Human Hemoglobin from Sedimentation Data. The diffusion coefficient of the human hemoglobin molecule at 20°C is 6.9 10 11 m2 s "1. Use this value to determine f for this molecule. Evaluate f0 for hemoglobin using the particle mass calculated in Equation (35). Indicate the possible states of solvation and ellipticity that are compatible with the experimental flfQ ratio. [Pg.84]

Most probable settling velocity from sedimentation data Particle-size determination from sedimentation equation Sedimentation in an ultracentrifuge Solvation and ellipticity from sedimentation data Diffusion and Gaussian distribution Temperature-dependence of diffusion coefficients... [Pg.638]

Figure 9.7 Observed increase in solid-water distribution ratios for the apolar compounds, tetrachlo-romethane (0) and 1,2-dichIoro-benzene (A) with increasing organic matter content of the solids (measured as organic carbon, /oc, see Eq. 9-21) for 32 soils and 36 sediments. Data from Kile et al. (1995). Figure 9.7 Observed increase in solid-water distribution ratios for the apolar compounds, tetrachlo-romethane (0) and 1,2-dichIoro-benzene (A) with increasing organic matter content of the solids (measured as organic carbon, /oc, see Eq. 9-21) for 32 soils and 36 sediments. Data from Kile et al. (1995).
Diffusion coefficients can be related to molecular weight in three ways first by application of the Stokes-Einstein equation, second by combination with sedimentation data, and third by consideration of homologous polymer solutions. In the first method, an equivalent spherical size of the molecules is calculated from Dt, and an approximate molecular weight is found by combining these data with the appropriate density. In the second method, diffusion measurements are coupled with those of sedimentation velocity to give molecular weights, and in the third method, molecular weights may be determined directly from measurements of diffusion coefficients alone once a calibration has been... [Pg.47]

Table I presents pE°(W) values for several couples pertinent to consideration of redox relationships in natural waters and their sediments. Data for E°n or AG° were taken principally from the second edition of Stability Constants (13). Table I presents pE°(W) values for several couples pertinent to consideration of redox relationships in natural waters and their sediments. Data for E°n or AG° were taken principally from the second edition of Stability Constants (13).
The diffusion constant D is a function of both molecular weight and shape. It can be measured by observing the spread of an initially sharp boundary between the protein solution and a solvent as the protein diffuses into the solvent layer. Once we know the value of the diffusion constant, we can combine the information with the sedimentation data and calculate the molecular weight of the protein. [Pg.124]

Although adequate information is available from rivers of the temperate regions, they are very scarce for those of tropical rivers. Data reviewed by Milliman and Meade (1983) show that about 70 % of the total sediment discharge to the oceans occur via the Southeast Asian rivers (Fig. lt). Inclusion of sediment data and the organic matter associated with these sediments might change drastically the net POC transport from land to sea. [Pg.41]

The kinetic/thermodynamic isomer ratios of phenanthrene anthracene (three-ring) and pyrene fluoranthene (four-ring) were derived from PAH marine sediment data for Singapore, and are shown in Fig. 15.11. An abundance of high molecular weight PAHs is typical of atmospheric... [Pg.683]


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See also in sourсe #XX -- [ Pg.413 ]

See also in sourсe #XX -- [ Pg.413 ]




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Ellipticity from sedimentation data

Hydrological data, sediment

Processing equilibrium sedimentation data

Sediment multivariate data analysis

Sedimentation data, processing velocity

Velocity sedimentation data

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