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Defining the Units of Analysis

The following sections discuss how to define the unit of analysis, and how to define the relationship between the unit of analysis and the assessment endpoint. [Pg.17]

The units of analysis should be determined by the needs of the assessment, not by the data that happen to be available. Careful consideration is required to identify which biological, spatial, and temporal units are appropriate for each assessment. This will depend on the nature and degree of spatial and temporal variation in the many factors that affect exposure and effects, including the following  [Pg.17]

It has been argued that exposure of birds should usually be evaluated and effects predicted initially for individuals, and then used to evaluate consequences at larger scales (US SAP 1999), because it is individuals that experience mortality or fail to reproduce. Also, spatial and temporal variation in pesticide residues combined with [Pg.17]

Application of Uncertainty Analysis to Ecological Risk of Pesticides [Pg.18]

In some assessments it may be reasonable to assnme that all individnals are affected in the same way. For example, it is nsnally assnmed that all hsh in a water body are exposed to the same concentration of pesticide. In this case, it is nnneces-sary to model the exposnre of each individnal modeling the gronp as a whole is simpler and will give the same resnlt. [Pg.18]


The goal definition specifies the reasons for carrying out the study and the intended application and audience. The scope relates to defining the unit of analysis, the system boundaries, the data quality and a number of other methodological choices. The depth and breadth of LCA can differ considerably depending on the goal of the analysis. [Pg.490]

To help address these issues, we define a new component for use in conceptual models the units of analysis. These are the lowest levels of biological, spatial, and temporal scale used in the quantitative part of the risk assessment (e.g., individual iterations in a simulation model). They also define the biological, spatial, and temporal units of the measures that will be needed as inputs to the assessment model. [Pg.16]

Define the unit of payment, which is directly related to the functions performed by a chemical, e.g. metal pieces degreased, m3 water cleaned. Carry out a detailed cost benefit analysis (CBA) to evaluate the expected environmental and economic savings of the ChL business model. [Pg.137]

The selectivity (or specificity ratio) is useful for defining the magnitude of an analytical interference for real situations. Photon ratios serve only to demonstrate the demands upon the spectrometer. The selectivity ratio is the concentration of interfer-ent that causes a unit concentration error in the analyte. If the selectivity ratio of 2000 (defined as adequate by industry)(41) is used, the apparent lead concentration in the bone ash will be 250 ppm. A calcium/lead selectivity ratio of 5,000,000 is required to achieve an analytical accuracy of 10 per cent for one ppm lead in bone ash. (The authors are aware of a lead analysis for bone ash containing approximately 30 ppm lead that was reported by an ICP laboratory to contain approximately 550 ppm lead.) In this instance the selectivity ratio was only 1 x 103. [Pg.122]

Defining the Relation between Units of Analysis and the Assessment Endpoint... [Pg.20]

The technical cost of a separation is paid in units of time and pressure-both of which are limited in practice. It follows, that there is a limit to the maximum time that can be tolerated before an analysis is completed. Conversely, there will also be a limit to the complexity of a mixture that can be separated in an acceptable time. Column theory must allow these limits to be identified. Although, as already stated, only packed columns are presently in general use, it may be possible that eventually chromatographic apparatus, particularly the detector and injection system, will be improved to the point where capillary columns become a viable alternative. Column theory must, therefore, also aid in capillary column design and be able to define the specifications of the ancillary apparatus that will permit the efficient use of such columns. [Pg.10]

In systems in which the vehicle configuration is volume limited, theoretical performance comparisons, using density impulse (Isd) are also necessary. This nomenclature, which is the product of the Is and the bulk density of the propellants, defines the amount of thrust available in a unit volume of the propellant. The relative importance of Isd to Is must be defined in the mission analysis. [Pg.311]

One frequent problem in food science research is how to define a single observation for regression analysis (an observation is composed of a measurement of the dependent variable, before any transformation, studied along with the corresponding levels of the variable factors). An experimental unit is generally defined as the unit of material to... [Pg.301]

A response factor is a ratio of signal-to-sample size. There are two kinds of response factors. Some response factors are numbers used in calculating the quantities required in a chemical analysis. They can be in any convenient form, including the inverse, that is, sample size divided by signal. They may, if desired, involve an internal standard, take account of efficiency of sample workup, or be expressed in arbitrary units. The response factors considered here, however, are meant to characterize detectors. They should be independent of carrier flow, Fc and the units of sample size should reflect the way the detector works. For any particular detector, there are two ways to define response factor, depending on whether peak height, S, and peak width W, are measured, or whether an integrator makes areas. A, available. They can be shown to be equivalent to the extent that SW/2 = A. [Pg.221]

The change of units serves to emphasize the similarities between the analysis of semiconductors and electrolytic systems (see, e.g.. Chapter 5). The Fermi energy Ep is closely related to the electrochemical potential of electrons introduced in Section 5.2. Statistical mechanical arguments have been used to show that, under equilibrium conditions, the Fermi energy is equal to the electrochemical potential of electrons. At equilibrium, a single value of Fermi energy is sufficient to define the state of the system. Under nonequilibrium conditions, a separate Fermi energy can be defined for electrons and holes. [Pg.212]


See other pages where Defining the Units of Analysis is mentioned: [Pg.16]    [Pg.17]    [Pg.17]    [Pg.18]    [Pg.16]    [Pg.17]    [Pg.17]    [Pg.18]    [Pg.312]    [Pg.145]    [Pg.20]    [Pg.227]    [Pg.165]    [Pg.323]    [Pg.246]    [Pg.2552]    [Pg.45]    [Pg.157]    [Pg.190]    [Pg.267]    [Pg.80]    [Pg.356]    [Pg.128]    [Pg.35]    [Pg.43]    [Pg.236]    [Pg.64]    [Pg.246]    [Pg.130]    [Pg.50]    [Pg.10]    [Pg.204]    [Pg.541]    [Pg.128]    [Pg.484]    [Pg.2306]    [Pg.323]    [Pg.3811]    [Pg.190]    [Pg.278]   


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