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System source-sink

This simulation can be achieved in terms of a source—sink relationship. Rather than use the gas concentration around the test object as a target parameter, the test object can be surrounded by a sink of ca 2-7T soHd angle. The solar panel is then maintained at its maximum operating temperature and irradiated by appropriate fluxes, such as those of photons. Molecules leaving the solar panel strike the sink and are not likely to come back to the panel. If some molecules return to the panel, proper instmmentation can determine this return as well as their departure rates from the panel as a function of location. The system may be considered in terms of sets of probabiUties associated with rates of change on surfaces and in bulk materials. [Pg.368]

For the two-source-sink-zone system to which Eq, (5-136) applies, Eq, (5-137) simplifies to... [Pg.577]

The third term on the left side of the equation has significance in reactive systems only. It is used with a positive sign when material is produced as a net result of all chemical reactions a negative sign must precede this term if material is consumed by chemical reactions. The former situation corresponds to a source and the latter to a sink for the material under consideration. Since the total mass of reactants always equals the total mass of products in a chemical reaction, it is clear that the reaction (source/sink) term (R should appear explicitly in the equation for component material balances only. The overall material balance, which is equivalent to the algebraic sum of all of the component balance equations, will not contain any (R term. [Pg.333]

Frankenberger, Jr., and Muhammad Arshad Handbook of Weed Management Systems, edited by Albert E. Smith Soil Sampling, Preparation, and Analysis, Kim H. Tan Soil Erosion, Conservation, and Rehabilitation, edited by Menachem Agassi Plant Roots The Hidden Half, Second Edition, Revised and Expanded, edited by Yoav Waisel, Amram Eshel, and Uzi Kafkafi Photoassimilate Distribution in Plants and Crops Source-Sink Relationships, edited by Eli Zamski and Arthur A. Schaffer Mass Spectrometry of Soils, edited by Thomas W. Boutton and Shinichi Yamasaki... [Pg.430]

Although there exists a good understanding of the chemistry of phosphorus in soil-water systems, the hydrologic pathways linking spatially variable phosphorus sources, sinks, temporary storages, and transport processes in landscapes are less... [Pg.249]

The rate enhancement observed for submonolayer Cu deposits may relate to an enhanced activity of the strained Cu film for this reaction due to its altered geometric and electronic properties. Alternatively, amechansim whereby the two metals cooperatively catalyze different steps of the reaction may account for the activity promotion. For example, dissociative Hj adsorption on bulk Cu is unfavorable due to an activation barrier of approximately 5 kcal/mol . In the combined Cu/Ru system, Ru may function as an atomic hydrogen source/sink via spillover to/from neighboring Cu. A kinetically controlled spillover of Hj from Ru to Cu, discuss above, is consistent with an observed optimum reaction rate at an intermediate Cu coverage. [Pg.197]

Wetlands are intermediate between upland systems and true aquatic systems, both in terms of their hydrologies, being intermittently to permanently flooded, and in terms of their biogeochemistries, being sources, sinks and transformers of... [Pg.4]

In this simplified version of the Brusselator model, the trimolecular autocatalytic step, which is a necessary condition for the existence of instabilities, is, of course, retained. However, the linear source-sink reaction steps A—>X—>E are suppressed. A continuous flow of X inside the system may still be ensured through the values maintained at the boundaries. The price of this simplification is that (36) can never lead to a homogeneous time-periodic solution. The homogeneous steady states are... [Pg.21]

Very little inter-plant transfer of or occurred from pea to barley in non-mycorrhizal systems with either intact plants or where the pea plants had their shoots removed. In mycorrhizal systems, significantly greater transfer occurred from decapitated pea plants (Fig. 3.4b). Whilst an elegant demonstration of such source sink relationships, this experimental design also suffered from the lack of reciprocal controls. Furthermore, an alternative mechanism for all such inter-plant transfer may simply be a more efficient uptake of elements liberated from donor plant roots by exudation or sloughing, by mycorrhizas associated with the receivers that are simply in the vicinity of the donor rhizosphere. None of the large number of inter-plant experiments reported actually discriminate between these alternative mechanisms. [Pg.66]

M3TD Groundwater MT3D is a transport model that simulates advection, dispersion, source/sink mixing, and chemical reactions of contaminants in groundwater flow systems in either two or three dimensions. [Pg.96]

The use of dynamic, flow-through test chambers is common in the study of emissions from sources of indoor air pollution [39]. They are also widely used in the study of indoor sinks. Some of the earlier work on sinks examined the surfaces of the test chambers themselves and showed that chamber sink effects can be important [21]. Researchers routinely evaluate test chamber systems for sink effects [34,40]. A recent paper on the measurement of SVOC emissions showed how the chamber sink effect can be exploited [41]. In this study, SVOCs adsorbed on chamber walls were removed by heating, flushed out, and quantified to give SVOC emission rates. [Pg.79]

In Chap. 51 we derived Bernoulli s equation from the energy balance equation. Since the energy balance has no onc-dimensional restriction on it, the same approach must apply to two- and three-dimensional flows. However, in our derivation bf Bernoulli s equation, we restricted our attention to systems with only one flow in and out. How can we apply this idea to a two-dimensional flow field in which there is a continuously varying velocity over some region of space In Fig. 10.15 such a region is shown with no sources, sinks, or solid bodies, but with streamlines. [Pg.376]

DFDs are drawn with just four symbols data sources and sinks, processes, data flows and data stores (see Figure 5). Data sources are entities that provide data to the system (a source) or receive information from the system (a sink). These sources lie outside the boundary of the system and are not active participants in the processing that occurs within the system. A process is any activity that converts data into information. Generally, processes are named with a verb of the action in the process and are numbered at the top of the symbol. Numbers are useful for cross-referencing processes on lower-level diagrams to the activities in higher-level diagrams. Processes are interconnected with other processes by data flows. Data flows are symbols that represent data in motion. Each data flow is named with a noun that describes the data represented in the flow. A data flow must be attached to a process at some point, either as a source or as a sink. A data store is a representation of the data at rest. Examples of data stores could include electronic data files, a database table, or a physical file folder. [Pg.99]


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See also in sourсe #XX -- [ Pg.190 , Pg.193 ]




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