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Comparison with Field Data

Comparing the modeling results with site monitoring data shows that the predicted sequence of the contaminant mobility, Be Cd Ni U, is consistent with the metal distribution at the site. Surface complexation has essentially immobilized Be and Cd [Pg.153]

However, the predicted uranium concentration at the edge of the plume is far higher than the observation. Observational data indicate that the maximum uranium concentration outside of the plume is less than 92 pCi/L, while the model predicts it to be in excess of 1000 pCi/L. This discrepancy between observed and predicted uranium concentrations is an indication that the model parameters used to predict U partitioning may not accurately represent conditions at the site. Examination of Dzombak and Morel s (1990) work reveals that they have used a predicted surface complexation constant rather than retrieve a value from experiments. Newer experimental data show that uranium(VI) adsorption onto ferrihydrite can be fitted by a two-site model with a bidentate complex (Waite et al 1994). However, this type of modeling ability is not included with minteqa2. Another explanation could be that co-precipitation is ignored, but apparently is a major attenuation mechanism at a similar site (Opitz et al. 1983). [Pg.154]


Walton, A., Cheng, A.Y.S., and Yeung, W.C. (2002) Large-eddy simulation of pollution dispersion in an urban street canyon, Part I comparison with field data, Atmos. Environ. 36, 3601-3613. [Pg.407]

Dennis, R. L., McHenry, J. N., Barchet, W. R., Binkowski, F. S., and Byun, D. W. (1993) Correcting RADM sulfate underprediction—discovery and correction of errors and testing the correction through comparisons with field data, Atmos. Environ. 27, 975-997. [Pg.823]

Kay P, BlackweU PA, BoxaU ABA, A lysimeter experiment to investigate the leaching of veterinary antibiotics through a clay soil and comparison with field data, Environ. Pollut. 2005 134 333-341. [Pg.122]

Theoretical methods using quantum mechanics and chemical rate theory to calculate the multidimensional potential energy surface uprai which the reaction of isoprene and OH occiu, and the rates of different reactirMi pathways imder relevant conditions, and the incorporation of these calculated kinetic data into a range of models for comparison with field data. [Pg.58]

Hartree-Fock MO approach, the minimization of energy should provide the most accurate description of the electronic field. The mathematical problem is to define each of the terms, with being the most challenging. The formulation carmot be done exactly, but various approaches have been developed and calibrated by comparison with experimental data. The methods used most frequently by chemists were developed by A. D. Becke. " This approach is often called the B3LYP method. The computations can be done with... [Pg.59]

Middleton, J. C., Pierce, F., and Lynch, P. M., Computations of Flow Fields and Complex Reaction Yield in Turbulent Stirred Reactors and Comparison with Experimental Data, Chem. Eng. Res. Des., Vol. 64, pp. 18-21, 1986. [Pg.810]

The first-principles calculation of NIS spectra has several important aspects. First of all, they greatly assist the assignment of NIS spectra. Secondly, the elucidation of the vibrational frequencies and normal mode compositions by means of quantum chemical calculations allows for the interpretation of the observed NIS patterns in terms of geometric and electronic structure and consequently provide a means of critically testing proposals for species of unknown structure. The first-principles calculation also provides an unambiguous way to perform consistent quantitative parameterization of experimental NIS data. Finally, there is another methodological aspect concerning the accuracy of the quantum chemically calculated force fields. Such calculations typically use only the experimental frequencies as reference values. However, apart from the frequencies, NIS probes the shapes of the normal modes for which the iron composition factors are a direct quantitative measure. Thus, by comparison with experimental data, one can assess the quality of the calculated normal mode compositions. [Pg.187]

Table XVIII contains the 13C-n.m.r.-spectral data for the model compounds a,/ -Araf — Hyp and a,/ -Ara/— Hyp. The assignments of Qfi and Cs of Hyp were readily obtained19 by comparison with 13C data for L-Hyp in the free amino acid form and for L-Hyp residues of peptides.109 The chemical shift of C 5 was, as expected, 7-8 p.p.m. downfield from the values reported for nonglycosylated L-Hyp. The chemical shifts of C and Cy appeared in the same region as carbohydrate resonances and were therefore identified through their chemical shift-pH dependence.19 The chemical shift of the / -anomeric carbon atom in compound 60 is rather up-field, in agreement with a syn orientation for the C-1 - O-1 and... Table XVIII contains the 13C-n.m.r.-spectral data for the model compounds a,/ -Araf — Hyp and a,/ -Ara/— Hyp. The assignments of Qfi and Cs of Hyp were readily obtained19 by comparison with 13C data for L-Hyp in the free amino acid form and for L-Hyp residues of peptides.109 The chemical shift of C 5 was, as expected, 7-8 p.p.m. downfield from the values reported for nonglycosylated L-Hyp. The chemical shifts of C and Cy appeared in the same region as carbohydrate resonances and were therefore identified through their chemical shift-pH dependence.19 The chemical shift of the / -anomeric carbon atom in compound 60 is rather up-field, in agreement with a syn orientation for the C-1 - O-1 and...
Although the existence or absence of a particular process can often be determined from observed data, an assessment of how well an algorithm represents the process is often difficult to make due to observation errors, natural variations in field data, and lack of sufficient data on individual component processes. In such circumstances, model validity must be inferred or possibly based on comparisons with laboratory data obtained under controlled conditions. Often laboratory data provide the basis for developing an algorithm since field data are so much more difficult and expensive to collect and interpret. Examples of system representation errors and their analysis were presented at the Pellston workshop (6 ). [Pg.160]

Reorientations produce characteristic maxima in the relaxation rate, which may be different for the various symmetry species of CD4. The measured relaxation rates exhibit dependence on two time constants at low temperatures, but also double maxima for both relaxation rates. We assume that molecules may move over some places (adsorption sites) on the cage walls and experience different local potentials. Under the assumption of large tunnelling splittings the T and (A+E) sub-systems relax at different rates. In the first step of calculation the effect of exchange between the different places was considered. Comparison with experimental data led to the conclusion that we have to include also a new relaxation process, namely the contribution from an external electric field gradient. It is finally quite understandable to expect that such effect appears when CD4 moves in the vicinity of a Na+ ion. [Pg.172]

The research on the flow regimes in packed tubes suggests that laminar flow CFD simulations should be reasonable for Re <100 approximately, and turbulent simulations for Re >600, also approximately. Just as RANS models provide steady solutions that are regarded as time averages of the real time-dependent turbulent flow, it may be suggested that CFD simulations in the unsteady laminar inertial range 100 time-averaged picture of the flow field. As with wall functions, comparisons with experimental data and an improved assessment of what information is really needed from the simulations will inform us as to how to proceed in these areas. [Pg.382]

Atmospheric Dispersion Models Atmospheric dispersion models generally fall into the categories discussed below. Regardless of the modeling approach, models should be verified that the appropriate physical phenomena are being modeled and validated by comparison with relevant data (at field and laboratory scale). The choice of modeling techniques may be influenced by the expected distance to the level of concern. [Pg.64]

The electrostatic free energy of ionization, as calculated from (11) with ZA = +1 and ZB = — 1, is always positive. The quantity d In D/dT is always negative because thermal motion overcomes the orientation of dipoles in an electric field therefore A8el is always negative. The values of D, AFel, AHa, and ASel for several representative solvents are given in Table 8 (Frost and Pearson, 1961). Comparison with the data in... [Pg.12]

The other approach to calibration, by comparison with experimental data, also presents difficulties. Here, the problem is in ensuring that the calculations relate correctly to the experiment, which, in this field, most frequently refers to finite-temperature free energy differences in the condensed phase. As well as obtaining accurate electronic energy differences, therefore, zero-point energy (zpe), thermal or enthalpic (H), entropic (S), and medium ef-... [Pg.178]

Crystal field spectral measurements of transition metal ions doped in a variety of silicate glass compositions (e.g., Fox et al., 1982 Nelson et al., 1983 Nelson and White, 1986 Calas and Petiau, 1983 Keppler, 1992) have produced estimates of the crystal field splitting and stabilization energy parameters for several of the transition metal ions, examples of which are summarized in table 8.1. Comparisons with CFSE data for each transition metal ion in octahedral sites in periclase, MgO (divalent cations) and corundum, A1203 (trivalent cations) and hydrated complexes show that CFSE differences between crystal and glass (e.g., basaltic melt) structures,... [Pg.315]

In this connection, a very recent paper by Allinger (8) should be mentioned. A force field has been developed to permit molecular mechanics calculations on various molecular structures of elemental sulfur. The conformational characteristics of sulfur rings containing five to 12, 14, 16, 18, or 20 sulfur atoms have been examined. Comparison with experimental data is made in all cases where such data exist, and predictions are made for other cases. Ab initio molecular orbital calculations using an STO-3G basis set were carried out for cyclohexasulfur and are consistent with the molecular mechanics calculations in indicating that the chair and the twist forms are two stable conformations, with the chair about 15 kcal/mol more stable while the boat (C2t,) is a twist rotational transition state. Calculation of possible conformations of the pro-... [Pg.18]

M.H. Russell and R. L. Jones, Comparison of Pesticide Root Zone Model 3.12 Leaching Predictions With Field Data , Env. Tox. Chem. 2002,21 (8), 1552-1557. [Pg.302]

Studies in the field of tetracyclic and pentacycMc triterpenes [gsa] show that the dissociation constants for C 3)-cyanohydrins vary with structural changes even in rings C and D. A comparison with kinetic data for formation of 2-benzylidene derivatives of the same ketones cf. p. 178) indicates that the effect is largely one of conformational transmission. [Pg.81]

Figure 3 Fractionation of SO4 by SRB versus specific sulfate reduction rate (SRR). The shaded area is the range of values observed in laboratory experiments. The points are from field data assuming two different densities of cells for comparison with lab data (Habicht and Canfield, 1997) (reproduced by permission of Elsevier from Geochim. Cosmochim. Acta, 1997, 61, 5351-5361). Figure 3 Fractionation of SO4 by SRB versus specific sulfate reduction rate (SRR). The shaded area is the range of values observed in laboratory experiments. The points are from field data assuming two different densities of cells for comparison with lab data (Habicht and Canfield, 1997) (reproduced by permission of Elsevier from Geochim. Cosmochim. Acta, 1997, 61, 5351-5361).
Anaerobic Degradation of 1,1,2,2-Tetrachloroethane and Association with Microbial Communities in a Freshwater Tidal Wetland, Aberdeen Proving Ground, Maryland Laboratory Experiments and Comparisons to Field Data. US Geological Survey Water-Resources Investigations Report 02-4157 (in press). [Pg.5146]

In cases like D2CO or NO2 comparison with experimental data on a state-specific level are ruled out entirely and one has to retreat to more averaged quantities like the average dissociation rate, (fc), and the distribution of rates, Q(k). If the dynamics is ergodic — the basic assumption of all statistical theories — one can derive a simple expression for Q k), which had been established in nuclear physics in order to describe the neutron emission rates of heavy nuclei [280]. These concepts have since developed into the field of random matrix theory (RMT) and statistical spectroscopy [281-283] and have also found applications in the dissociation of energized molecules [121,284-286]. [Pg.184]


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