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Saturday, July 18, 2020 | History

2 edition of Variability and uncertainty in biosphere model calculations for iodine-129 found in the catalog.

Variability and uncertainty in biosphere model calculations for iodine-129

J. A. Keith Reid

Variability and uncertainty in biosphere model calculations for iodine-129

by J. A. Keith Reid

  • 9 Want to read
  • 17 Currently reading

Published by AECL, Whiteshell Laboratories in Pinawa, Man .
Written in English

    Subjects:
  • Iodine -- Isotypes -- Measurement.,
  • Iodine -- Environmental aspects.,
  • Radioactive waste disposal -- Canada.

  • Edition Notes

    Statementby J.A. Keith Reid and B.J. Corbett
    SeriesTechnical record (Atomic Energy of Canada Ltd) -- 759
    ContributionsCorbett, B. J., Atomic Energy of Canada Limited.
    Classifications
    LC ClassificationsTK"9001"T4"no.759
    The Physical Object
    Pagination27 p. :
    Number of Pages27
    ID Numbers
    Open LibraryOL20641182M

    ISBN: OCLC Number: Description: 1 online resource ( pages) Contents: Session 1: Overview of Model Reliability and Testing Studies --An overview of the IAEA Safety Series on procedures for evaluating the reliability of predictions made by environmental transfer models --Verification and validation of NRPB models for . Intercomparison of Model Calculation of the Turnover of Ra within an Aquatic Ecosystem. Biosphere Model Validation by Intercomparison to Observed Behaviour of Fallout Radionuclides in the Aquatic Environment. Radioactivity of French Coast of the Channel Due to the Release of Technecium 99 and Iodine Modelisation and Measurements.

      ''The Biosphere Model Report'' (BSC []) describes in detail the conceptual model as well as the mathematical model and its input parameters. The purpose of this analysis was to develop the biosphere model parameters needed to evaluate doses from pathways associated with the accumulation and depletion of radionuclides in the soil. In this case N monitoring intervals in a year were considered and daily urine sample activity measurements, A i (i = 1, 2, , N), were taken as input data for intake/dose calculation and the stochastic variability of excretion was considered as a single source of uncertainty of the dose estimate.

    PILPS also showed that LSMs strongly differ in accuracy due to empirical parameters (e.g., physiological, phenological, thermal, hydraulic, radiative, etc.) used to represent different vegetation and soil types (e.g., Wilson et al. ; Dorman and Sellers ).The wide possible parameter range causes a high variability in predicted state variables, energy, and water fluxes (e.g., Avissar. Variability and Uncertainty Associated in National Air Toxics Assessments 1 Overview This discussion will help you understand why it’s important to use the results to answer only those questions for which the assessment is suitable. Variability: Emissions, air concentrations, .


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Variability and uncertainty in biosphere model calculations for iodine-129 by J. A. Keith Reid Download PDF EPUB FB2

Colloid model verification results in the site recommendation document to outcomes predicted by process model abstraction reports; tracing information flow from the saturated zone model to the biosphere model; and verifying with hand calculations groundwater concentration, water usage, and dose estimates in the biosphere model.

There is uncertainty in where carbon is going into or leaving the land biosphere on a net basis. Models are used to investigate this movement of carbon, but it is unclear how different approaches compare: using a complex model for which the best parameter sets are difficult to determine or using a simpler model for which it is easier to find the right parameters sets that best match : Gregory R.

Quetin, A. Anthony Bloom, Kevin W. Bowman, Kevin W. Bowman, Alexandra G. Konings. Calculation Model for the Impact on Soil Due to Tritium Emission into the Atmosphere During Snowfall. Biosphere Model Validation by Intercomparison to Observed Behaviour of Fallout Radionuclides in the Aquatic Environment.

The book is composed such as to give the reader the chance to quietly study the presented papers in good order. Incinerator risk assessments should include the following components of uncertainty and variability analyses: An estimate of the variability and uncertainty distributions of all input values and their effect on final estimates.

A sensitivity analysis to assess how model. Uncertainty quantification (UQ) is the science of quantitative characterization and reduction of uncertainties in both computational and real world applications.

It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known. An example would be to predict the acceleration of a human body in a head-on crash with another car: even if we exactly knew. [17] We use the same carbon cycle model as in the previous section, but with 13 C as well as CO 2.

The Scholze et al. terrestrial fluxes start in We use the two‐box biosphere model of Trudinger et al. run from equilibrium in to determine the terrestrial isotopic disequilibrium fluxes until We also calculate the oceanic. Measurement Uncertainty. easy to evaluate (see Sections and ).

However, the counting uncertainty is only one component of the total measurement uncertainty. Over the years it has been recommended repeatedly that laboratories perform good evaluations of the total uncertainty of.

Model calculations indicate that in industrial COz emissions are responsible for at least 85% of the A1' C decline, whereas natural variability accounts for the remaining 15%. Introduction In recent years, carbon reservoir models have been used to describe quantitatively the past and future fate of fossil-fuel-produced carbon dioxide.

Uncertainty and variability in the model input can be modeled by assuming that x 0 = X 0 is a random variable with pdf u 0: ℝ d → ℝ. Consequently, the solution { X t } t ≥0 of the initial value problem (1) is a stochastic (Markov) process.

Climate change will have strong impacts on the global terrestrial biosphere, but these have not been well quantified. This is mainly due to large gaps in ecophysiological process understanding, lack of insight into the principles of generalization from case studies (Parmesan ), lack of sufficient past precedence or analogues for future climate states (Williams et al ), and a.

Assessing Model Uncertainty • How do we get a range of uncertainty for these very expensive 3-D Models. • One way is to run each available model once and pretend that the variation between the models represents the variability between future climates The time evolution of the globally averaged temperature change relative to the control.

Introduction. The behavior of the terrestrial biosphere, now and in the future, represents a critical uncertainty in the global carbon cycle 1, terrestrial biosphere is more sensitive to direct human influence than the ocean as demonstrated by the large but uncertain flux of carbon to the atmosphere caused by land-use makes it a tempting target for interventions aimed at.

An estimate of the uncertainty in a climate-model-based prediction of twenty-first century global-mean temperature rise is a potentially valuable tool for policy makers and planners 3,6,   The climate induced uncertainty is further partitioned into apparent model sensitivity and climate data range to give an estimate of their relative importance, i.e.

do large GPP uncertainties stem from a large sensitivity in the model response to small difference in the drivers, or do the GPP uncertainty arise from low sensitivity in the model. Iodine (I) is an which can be used in a biosphere transport model.

They also illustrate the effectiveness of single barriers in the barrier system, and therefore allow a preselection. Measurement Uncertainty for Purity Determinations in Seized Drug Analysis Supplemental Document SD-4 Revision 0 ©SWGDRUG – All rights reserved Page 2 of Uncertainty on this flux is the highest of all budget components due to soil erosion and soil respiration.

CO 2 emissions from land use change are calculated by using a book-keeping method. • Atmospheric CO 2. Accumulation of atmospheric CO 2 is the most accurately measured quantity with an uncertainty of about 4%. • Ocean CO 2. Current. In the DBHM system, the revised Simple Biosphere (SiB2) model (Sellers et al.

) is used to calculate the transfer of energy, mass, and momentum between the atmosphere and the surface of the earth, and a river routing scheme is used to lead the runoff to the river basin outlet. @article{osti_, title = {Radiological assessment.

A textbook on environmental dose analysis}, author = {Till, J.E. and Meyer, H.R.}, abstractNote = {Radiological assessment is the quantitative process of estimating the consequences to humans resulting from the release of radionuclides to the biosphere.

It is a multidisciplinary subject requiring the expertise of a number of individuals. Relative variation refers to the spread of a sample or a population as a proportion of the mean.

Relative variation is useful because it can be expressed as a percentage, and is independent of the units in which the sample or population data are measured. For example, you can use a. The flow of carbon dioxide through the atmosphere is a complex system because it consists of several cycles; e.g., through the biosphere which produces and consumes it, and through the Earth's.In the special cases of small minor peaks (calculate the precision of purity measurements can be extracted from the current chromatogram; therefore, we call the developed concept a model of Uncertainty Based on Current Information (UBCI).uncertainty calculations, and it provides detailed procedures for performing uncertainty calculations in general.

This handbook, however, provides a more practical approach to the field of uncertainty calculations, where the principles of the GUM are applied to turbine oil and orifice gas fiscal metering stations.

The intention.