Evaluation consequences

It is important to consider the uncertainties in the consequence evaluation. Many of the events and occurrences modeled in the consequence evaluation are random or highly veiriable processes which can only be described statistically, hence, the results have statistical uncertainties (Section 2.7). Secondly, the models may contain modeling inaccuracies. Finally, to make the evaluation manageable, it is necessary to group by categories, which may be as misleading as it was in the RSS. 

Cause-consequence risk evaluation combines event tree and fault tree analysis to relate specific accident consequences to causes. Tlie process of cause-consequence evaluation usually proceeds as follows ... 

It should be noted that consequence screening is performed without regard to the likelihood of an event s occurring. As a result, consequence screening does not determine risk. Furthermore, the consequence evaluation performed may not represent a detailed evaluation of consequences to the process plant. Instead, it is an approximation of expected consequences, given an estimate of potential blast overpressure and anticipated response of representative building types. The user should not mistake this evaluation for a detailed consequence assessment. 

Qualitative consequence evaluation involves defining broad categories, which are based on the general level of injury and damage that could... 

Qualitative frequency evaluation can be used to screen out events that are extremely unlikely to occur (i.e., have such a remote chance of occurring that further evaluation is unnecessary). This method is particularly appropriate for use in conjunction with qualitative consequence evaluation as a means of ranking risks. 

Quantitative consequence evaluation requires determination of the blast overpressure and other explosion or fire effects that can impact a process plant building and a detailed analysis of the building s response. 

Consequently, evaluation of Fn(T) involves different schemes depending on the value of N and T. For T > N, upward recurrence from F0 is possible without loss of significant figures. For T < N, downward recurrence must be used starting from Fjj(T). For most functions this situation would require either a set of tables for every possible starting value of N or else one table for an N greater than any N which can occur followed by downward recurrence from N. The particular function F dealt with here, however, obeys the relationship... 

Okamura et al. (2002, 2004a) recently reported the study of a new series of l,2,4-triazolo[5,l-i]purines. This research group highlighted the structural similarity between the new class of compounds and the triazoloquinazoline derivatives and consequently evaluated the corresponding A3 adenosine receptor affinities. These investigations led to potent and selective hA3 ligands, the most potent of which are reported in Fig. 7.12 (19, 20), in particular 5-n-butyl-8-(4-n-propoxyphenyl)-3H- 1,2,4 triazolo 5,1 -ilpurinc 20 exhibited the best selectivity profile of this series... 

Summing up, the influence of the kinetics of a chemical reaction on the vapor-liquid equilibrium is very complex. Physical distillation boundaries may disappear, while new kinetic stable and unstable nodes may appear. As result, the residue curve map with chemical reaction could look very different from the physical plots. As a consequence, evaluating the kinetic effects on residue curve maps is of great importance for conceptual design of reactive distillation systems. However, if the reaction rate is high enough such that the chemical equilibrium is reached quickly, the RCM simplifies considerably. But even in this case the analysis may be complicated by the occurrence of reactive azeotropes. 

Consequently, evaluation and selection of polymers is possible by determining the asrv vs. T relation from the rj = f(y. T,M) relationship (see Chap. 15). Then the working constraints, i.e. the temperature range, can be adapted to the critical T-values (see Fig. 24.6). 

The concentration of the active intermediate, AZO , is very difficult to measure, because it is highly reactive and very short-lived ( -10 s). Consequently, evaluation of the reaction rate laws, (7-8), (7-10), and (7-11), in their present forms becomes quite difficult, if not impossible. To overcome this difficulty, we need to express the concentration of the active intermediate, in terms of the concentration of azomethane, C zo- As mentioned in Chapter 3, the total or net rate of formation of a particular species involved in many simultaneous reactions is the sum of the rates of formation of each reaction for that species. 

It is nearly impossible to degas water completely and preserve its structure. In order to evaluate experimentally the degree of structurization of the aqueous system and, consequently, evaluate the parameters of intermolecular interaction... 

Ln recent years, interest increased in the ratio of omega-6 (n-6) to omega-3 (n-3) PUFA, or LA ALA, in part due to the link between inflammation and several lifestyle diseases, such as cardiovascular disease (CVD) and Type LL diabetes. However, whether this ratio is directly associated with an increased risk of inflammatory diseases is unclear. Furthermore, the low conversion of dietary ALA to eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) (Goyens et al., 2005 Hussein et al., 2005 Pawlosky et al., 2001) means that a lower n-6 n-3 PUFA ratio does not necessarily reflect physiologically important increases in EPA and DLiA (Harris, 2006). Consequently, evaluating absolute dietary intakes of specific n-6 and n-3 PUFAs may be most appropriate, particularly when few human experimental and clinical trial data exist to support the use of an n-6 n-3 PUFA ratio. Nevertheless, when considering the composition of SBO, notably, SBO has a lower n-6 n-3 PUFA ratio than other commonly used vegetable oils, such as corn oil. 

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