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Source-sink processes

Pathway (on Figure 16.3) Transport path Source Sink Process... [Pg.786]

On the source-sink mapping diagram, sources are represented by shaded circles and sinks are represented by hollow circles. Typically, process constraints limit the range of pollutant composition and load that each sink can accept. ITie intersection of these two bands provides a zone of acceptable conqKisition and load for recycle. If a source (e.g., source a) lies within this zone, it can be directly recycled to tiie sink (e.g., sink S). Moreover, sources b and c can be mixed using the lever-arm principle to create a mixed stream that can be recycled to sink S. [Pg.85]

Let us first segregate the two sources forming the feed to the incinerator. As can be seen from the source-sink mapping diagram (Fig. 9.20), the gaseous emission from the ammonium nitrate process (R2) is within the acceptable zone for the incinerator. Therefore, it should not be mixed with R] then separated. Instead, the ammonia content of Ri should be reduced to 0.10 wt% then mixed with R2 to provide an acceptable feed to the incinerator as shown by Fig. 9.20. The task of removing ammonia from Rj to from 1.10 wt% to 0.10 wt% is identical to the case study solved in Section 9.3. Hence, the solution presented in Fig. 9.18 can be used. [Pg.240]

In most cases models describing biogeochemical cycles are used to estimate the concentration (or total mass) in the various reservoirs based on information about source and sink processes, as in the examples given in Section 4.4. This is often called forward modeling. If direct measurements of the concentration are available, they can be compared to the model estimates. This process is referred to as model testing. If there are significant differences between observations and model simulations, improvements in the model are necessary. A natural step is then to reconsider the specification of the sources and/or the sinks and perform additional simulations. [Pg.74]

Firstly, the analysis implicitly allows water reuse even in a situation where the source and sink processes are simultaneously active as observed in Fig. 12.6. According to Fig. 12.6, in concentration interval (20CMKX) ppm), 37.5 t and 25 t of water are available for reuse in the (0.5-1.0 h) and (1.0-1.5 h) time intervals, respectively. This semi-batch behaviour is further observed in the water network shown in Fig. 12.7. Some of the water from process 3 is reused in process 1, even though process 1 is 0.5 h from completion. This would not be possible for truly batch operations, since the reuse potential of water could only be realized after the completion, and not during the course of the process. [Pg.252]

J.C. Murrell and D.P. Kelley, Microbiology of Trace Gases. Source, Sinks and Global Change Processes, Springer, Berlin, 1996. [Pg.709]

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]

In recent years, tremendous progress has been achieved in the analysis of the isotope composition of important trace compounds in the atmosphere. The major elements - nitrogen, oxygen, carbon - continually break apart and recombine in a multitude of photochemical reactions, which have the potential to produce isotope fractionations (Kaye 1987). Isotope analysis is increasingly employed in studies of the cycles of atmospheric trace gases e.g., CH4 and N2O, which can give insights into sources and sinks and transport processes of these compounds. The rationale is that various sources have characteristic isotope ratios and that sink processes are accompanied by isotope fractionation. [Pg.164]

N2O possesses a large variable mass-independent isotope composition, which also requires a mass-independent process - a source, sink, or exchange reaction (Thiemens 1999). [Pg.176]

Therefore, let us consider the following thought process if the end result of turbulence, when visualized from sufficient distance, looks like diffusion with seemingly random fluctuations, then we should be able to identify the terms causing these fluctuations in equation (5.18). Once we have identified them, we will relate them to a turbulent diffusion coefficient that describes the diffusion caused by turbulent eddies. Looking over the terms in equation (5.18) from left to right, we see an unsteady term, three mean convective terms, the three unknown terms, the diffusive terms, and the source/sink rate terms. It is not hard to figure out which terms should be used to describe our turbulent diffusion. The unknown terms are the only possibility. [Pg.101]

Box models are commonly used biogeochemical studies that involve the interaction of biological, chemical, and geological processes that determine sources, sinks, and fluxes of elements through different reservoirs within ecosystems. [Pg.10]

The composition of dry air at sea level is primarily composed of N2 (78%) and O2, (21%). Temporal and spatial variability in concentrations of atmospheric gases will largely depend on gas stability, source and sink processes, source strength, and residence time. [Pg.99]

The GRG coupled system is a 3D two-way coupled system IFS provides atmospheric fields at high temporal resolution to drive the CTMs, and the IFS receives tracer concentration fields and tracer tendencies due to source and sink processes from the CTM. A further coupling option is the feedback of concentration fields from IFS to the CTM. [Pg.112]

In IFS tracer forecast mode the CTM provides initial condition for the chemical tracers (NOx, NO2, SO2, CO, HCHO and O3) and 3D fields of tracer tendencies due to emissions, deposition and chemical conversion to IFS. The IFS simulates the horizontal and vertical transport of these tracers and applies the CTM tendency data in order to account for the source and sink processes not simulated in the IFS. The CTM itself run as in CTM forecast mode. The feedback option enables replacing the CTM concentration fields, in particular the initial conditions, with the tracer fields of the IFS. [Pg.112]

In the first mode, the IPS would only advect the GRG-tracers. The CTM tendency field, consisting of the contributions of all source and sink processes would be consistent in itself. Dislocation can occur due to different advection in the CTM and the IPS. [Pg.119]

We must judge the possible routes as to how reasonable they are to the sources, sinks, and the media. The AdN2 is not appropriate for acidic media because it produces a highly basic anion, pA abH 44. The ApATa rule would likewise throw out the AdN2 since the incoming bromide nucleophile at pA abH 9 would never be expected to form a product anion of pA abH 44. This route is so uphill that it would never occur. In this example to illustrate the sorting process, we showed all the possibilities, but in later mechanism examples we will consider only those routes that are contenders for the lowest-energy route. [Pg.280]

Recent measurements (1980) Indicate that the atmospheric methane is about -47.0 0.3 /oo (48). The average isotopic fractionation associated with the sink process is -2.5 1.5°/oo, and there is a +0.3°/oo Isotope effect resulting from the nonsteady state increasing methane concentrations (48). This implies that the average for all sources is about... [Pg.309]

O.C. Zafiriou, S.A. Andrews, W. Wang. Concordant estimates of oceanic carbon monoxide source and sink processes in the Pacific yield a balanced global blue-water CO budget, Global Biogeochem. Cycles, in press. [Pg.177]

In this contribution the re-evaluated yields from the OH-radical initiated oxidation of benzene, toluene, p-xylene, and initial results of new simulation chamber experiments on prompt glyoxal formation from isoprene oxidation are presented. A detailed discussion of sources, sinks and their uncertainties to model atmospheric concentrations of glyoxal is presented, and exemplifies how basic research in environmental simulation chambers besides giving input for photochemical models also triggers advancements with measurement techniques for field observations. The integration of laboratory and field observations by models in turn will guide future research on atmospheric chemical processes. [Pg.130]


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See also in sourсe #XX -- [ Pg.97 ]




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