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Environmental compartment

For ecosystems, the collection of threshold values for NO(A)EL for several species is used to determine a predicted no-effect concentration (PNEC) for each environmental compartment. Environmental monitoring often observes effects that different environmental concentrations have on various ecosystem sub-groups. Laboratory multi-species test systems are available, but are limited in number and rarely appear in EU chemical risk assessments (see [125]). [Pg.34]

Crew Compartment Environmental Control Utilizing Cryogenic Fluids (5) 308 Pres sure-Temperature Histories of Liquid Hydrogen under Pressurization and Venting Conditions (5) 481... [Pg.653]

Crew Compartment Environmental Control Utilizing Cryogenic Fluids (5) 305 NEON... [Pg.658]

CREW COMPARTMENT ENVIRONMENTAL CONTROL UTILIZING CRYOGENIC FLUIDS... [Pg.308]

This paper describes some of the work done at the Boeing Airplane Company on crew compartment environmental control. Primarily, the discussion will be about a test run to determine the feasibility of a cryogenic-supplied "wash-through cabin conditioning system. This system was designed to provide a "shirtsleeve environment" in the crew compartment. [Pg.308]

Any crew compartment environmental control system is required to maintain the life, comfort, and efficiency of the crew for the duration of the flight. The crew on this simulated mission consisted of about 451b of laboratory rats. These animals approximated the metabolic rate of a one-man crew. [Pg.308]

Comparison of these environmental compartment concentrations with the actual measurements made at a variety of locations show reasonable agreement but indicate that emission estimates are rather high. It is likely that the fault Hes with worst case estimates for losses from outdoor appHcations and the washing of PVC flooring. In addition a large proportion of the phthalates lost by these routes will not enter rivers because they will be removed by wastewater treatment plants. [Pg.132]

Accumulation of heavy metals (HM) in different compartments of the biosphere, and their possible mobilization under changing environmental conditions induce a perturbation of the ecosystem and adverse health effects. Fast and correct estimating the environmentally relevant fonus of HM in soils, sediments, and sewage sludge is an urgent need for environmental monitoring and assessment. [Pg.233]

It is also important to develop an understanding of the movement of chemicals through the environment by investigating their fate and behaviour. Based on a chemical s inherent physicochemical properties, it is possible to predict with some degree of certainty which environmental compartment it is likely to reside in and to what extent it is likely to be bioavailable and accumulate through the food chain. [Pg.16]

The full appreciation of the overriding importance of metal speciation in evaluating the transport and effects of metals in an environment is a relatively recent event. As more information is gathered on the forms in which metals exist and are transported through various environmental compartments, it will become possible to predict more accurately the response of the biological communities exposed to the metals and hopefully avert or mitigate the adverse effects. [Pg.415]

Multimedia models can describe the distribution of a chemical between environmental compartments in a state of equilibrium. Equilibrium concentrations in different environmental compartments following the release of defined quantities of pollutant may be estimated by using distribution coefficients such as and H s (see Section 3.1). An alternative approach is to use fugacity (f) as a descriptor of chemical quantity (Mackay 1991). Fugacity has been defined as fhe fendency of a chemical to escape from one phase to another, and has the same units as pressure. When a chemical reaches equilibrium in a multimedia system, all phases should have the same fugacity. It is usually linearly related to concentration (C) as follows ... [Pg.70]

In Chapter 3, the distribution of enviromnental chemicals through compartments of the gross environment was related to the chemical factors and processes involved, and models for describing or predicting environmental fate were considered. In the early sections of the present chapter, the discnssion moves on to the more complex question of movement and distribntion in the living environment— within individuals, communities, and ecosystems—where biological as well as physical and chemical factors come into play. The movement of chemicals along food chains and the fate of chemicals in the complex communities of sediments and soils are basic issues here. [Pg.75]

PCBs have been implicated in the decline of certain populations of fish-eating birds, for example, in the Great Lakes of North America. Although their use is now banned in most countries and very little is released into the environment as a consequence of human activity, considerable quantities remain in sinks (e.g., contaminated sediments and landfill sites), from which they are slowly redistributed to other compartments of the environment. There continues to be evidence that PCB residues are still having environmental effects, for example, on birds and fish. [Pg.150]

There are 4 core chapters, distinguished by the environmental compartments on which they focus ... [Pg.7]

The need for coordinated monitoring studies spanning several environmental compartments through time and space, and the need for cormnon sampling and analytical protocols this is particularly important when striving to establish links between mercury emissions and methylmercury levels in biota... [Pg.8]

This book has identified the most useful indicators of environmental changes in mercury contamination in 4 compartments of the environment 1) airsheds and watersheds, 2) water and sediment, 3) aquatic organisms (with emphasis on freshwater ecosystems), and 4) wildlife that live in freshwater, terrestrial, and/or coastal ecosystems. The indicators identified in this book are wide-ranging and involve measurements made at several different scales of time and space. The authors believe that these indicators will provide the best information to policymakers, as well as other stakeholders, as to whether environmental concentrations are changing (A indicators) and what the reasons for those changes might be (B indicators). [Pg.205]

Superfund NPL Sites. 241Americium has been detected in soil samples at one of eight hazardous waste sites where americium has been identified in some environmental compartment (HazDat 2001). It was not found in sediment at any of these sites. The distribution of Superfund NPL sites is shown in Figure 6-1. [Pg.173]

Export processes are often more complicated than the expression given in Equation 7, for many chemicals can escape across the air/water interface (volatilize) or, in rapidly depositing environments, be buried for indeterminate periods in deep sediment beds. Still, the majority of environmental models are simply variations on the mass-balance theme expressed by Equation 7. Some codes solve Equation 7 directly for relatively large control volumes, that is, they operate on "compartment" or "box" models of the environment. Models of aquatic systems can also be phrased in terms of continuous space, as opposed to the "compartment" approach of discrete spatial zones. In this case, the partial differential equations (which arise, for example, by taking the limit of Equation 7 as the control volume goes to zero) can be solved by finite difference or finite element numerical integration techniques. [Pg.34]

Bonazountas, M. J. Wagner (1981). SESOIL A seasonal soil compartment model. Office of Toxic Substances, U.S. Environmental Protection Agency, Washington, DC. [Pg.63]

An application of transport and compartment-type models to hazard analysis is described in the paper by Honeycutt and Ballantine (19). The compound CGA-72662 running off from agricultural areas into surface waters was modeled in order to set safe application procedures consistent with the protection of aquatic environments. Patterson, et al (2 0) have adapted the UTM model to a software package that is generally applicable to fate assessments of toxic substances in air, water, soil and biota. Their work, now in working draft form, is being used by Dr. William Wood and Dr. Joan Lefler in the Office of Toxic Substances of the U.S. Environmental Protection Agency. [Pg.99]

In summary then, one should analyze the problem at systems level prior to model selection based on entry characteristics and environmental dynamics of the pollutant. Experience suggests that it is better to rely on intuition and a few calculations than to construct a formal logical decision tree for guiding this process. Often, the compartment screening models are helpful at this stage. Characterization of the sources, the environment and the fate properties is an essential prerequisite to any procedure. [Pg.102]

Partition Models for Equilibrium Distribution of Chemicals in Environmental Compartments... [Pg.105]

Distribution of organic chemicals among environmental compartments can be defined in terms of simple equilibrium expressions. Partition coefficients between water and air, water and soil, and water and biota can be combined to construct model environments which can provide a framework for preliminary evaluation of expected environmental behavior. This approach is particularly useful when little data is available since partition coefficients can be estimated with reasonable accuracy from correlations between properties. In addition to identifying those environmental compartments in which a chemical is likely to reside, which can aid in directing future research, these types of models can provide a base for more elaborate kinetic models. [Pg.105]

Two classes of mathematical models have been developed those which are specific and attempt to describe the transport and degradation of a chemical in a particular situation and those which are general or "evaluative" and attempt to generally classify the behavior of chemicals in a hypothetical environment. The type of modeling discussed here, equilibrium partitioning models, fall into the latter category. Such models attempt, with a minimum of information, to predict expected environmental distribution patterns of a compound and thereby identify which environmental compartments will be of primary concern. [Pg.106]


See other pages where Environmental compartment is mentioned: [Pg.132]    [Pg.474]    [Pg.474]    [Pg.248]    [Pg.51]    [Pg.596]    [Pg.10]    [Pg.200]    [Pg.177]    [Pg.70]    [Pg.230]    [Pg.106]    [Pg.251]    [Pg.8]    [Pg.10]    [Pg.194]    [Pg.195]    [Pg.14]    [Pg.137]    [Pg.112]    [Pg.95]    [Pg.223]    [Pg.669]    [Pg.43]    [Pg.93]   
See also in sourсe #XX -- [ Pg.70 ]




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Environmental compartment arsenic

Environmental compartment arsenic compounds

Environmental compartment cycling

Environmental compartments aqueous samples

Environmental compartments biota

Environmental compartments sediments/sludges

Environmental compartments—transition

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