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    Radiological RiskAssessment andEnvironmental Analysis

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    Radiological RiskAssessment and

    Environmental Analysis

    Edited by

    j o h n e . t i l l

    h e l e n a . g r o g a n

    12008

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    3Oxford University Press, Inc., publishes works that furtherOxford Universitys objective of excellencein research, scholarship, and education.

    Oxford New YorkAuckland Cape Town Dar es Salaam Hong Kong KarachiKuala Lumpur Madrid Melbourne Mexico City NairobiNew Delhi Shanghai Taipei Toronto

    With offices inArgentina Austria Brazil Chile Czech Republic France GreeceGuatemala Hungary Italy Japan Poland Portugal SingaporeSouth Korea Switzerland Thailand Turkey Ukraine Vietnam

    Copyright 2008 by Oxford University Press, Inc.

    Published by Oxford University Press, Inc.198 Madison Avenue, New York, New York 10016www.oup.com

    Oxford is a registered trademark of Oxford University Press

    All rights reserved. No part of this publication may be reproduced,stored in a retrieval system, or transmitted, in any form or by any means,electronic, mechanical, photocopying, recording, or otherwise,without the prior permission of Oxford University Press.

    Library of Congress Cataloging-in-Publication DataRadiological risk assessment and environmental analysis / edited by John E. Tilland Helen A. Grogan.

    p. ; cm.Includes bibliographical references and index.ISBN 9780 1951272701. Radiation dosimetry. 2. RadiationSafety measures. 3. Health riskassessment. I. Till, John E. II. Grogan, Helen A.[DNLM: 1. Radioactive Pollutantsadverse effects. 2. Accidents, Radiationprevention & control. 3. Environmental Exposureprevention & control.4. Environmental Monitoringmethods. 5. Radiation Injuriesprevention & control.6. Risk Assessment. WN 615 R1292 2008]RA569.R328 2008363.1799dc22 2007036918

    9 8 7 6 5 4 3 2 1

    Printed in the United States of America

    on acid-free paper

    http://www.oup.com/http://www.oup.com/
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    For

    Susan S. Till, PhD,

    and

    R. Scott Yount,

    Our spouses, who have been so supportive and patient aswe worked together on this book.

    In Memoriam

    Todd V. Crawford

    A dear friend and professional colleague who contributedto chapter 3 and who passed away before the bookspublication.

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    Preface

    This textbook is an update and major revision of Radiological Assessment:

    A Textbook on Environmental Dose Analysis, published by the U.S. Nuclear

    Regulatory Commission in 1983. The earlier book was widely used as a graduate-

    level text and as a reference book at universities, in special courses, and by

    individuals who perform radiological assessment. Although the previous book made

    a unique contribution in bringing together different elements of radiological assess-

    ment as a science, a number of deficiencies were difficult to resolve at the time it

    was written. For example, there was considerable disparity in the level of detailamong the chapters and in the information that each provided. In this new book, we

    have tried to address some of these deficiencies. It is written more specifically as a

    textbook, and it includes examples and sample problems throughout.

    We have worked hard to improve the editing so there is better consistency among

    the chapters and greater cohesiveness in the different subjects presented. Neverthe-

    less, we recognize some differences still exist in the way material is presented. These

    are due in large part to the multiple authors who contributed to this work. We do

    not believe, however, that an individual author could have adequately captured the

    state-of-the-art science and effectively conveyed the in-depth concepts required in

    such a textbook. That is why, as with the 1983 edition, we asked other scientists to

    contribute to the text. It is an honor and privilege to have the participation of these

    respected scientists, and we are indebted to their efforts and expertise. This book

    would not have been possible without them.

    There have been many significant changes in radiological assessment over the

    past 20 years, and we have tried to capture them. Some changes were caused

    by the natural evolution and improvements of the underlying sciences that make

    up radiological assessment, and other changes resulted from events such as the

    vii

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    viii Preface

    Chernobyl accident, phenomenal advances in computer technology, and a vastly

    different interest in understanding the health implications of radioactive materials

    that are or may be released to the environment by nuclear facilities.

    It is apparent that interest in radiological assessment will continue to grow. Thereis a renewed emphasis on nuclear power as an energy source. Many nuclear power

    plants around the world have matured and will, at some point, require significant

    upgrades to their design or need to be decommissioned altogether. Government

    authorities in many countries are working to find the right balance between eco-

    logical destruction and remediation of environmental sites that were contaminated

    with radioactive materials during decades of deliberate disposal of residues from

    the production of nuclear weapons. We hope that this textbook will provide a reli-

    able reference document for teaching and will set a standard for how radiologicalassessment should be performed.

    Unfortunately, there are some elements of radiological assessment that we could

    not include. One example, briefly discussed in chapter 1, is communication of radi-

    ological assessment results and the participation of stakeholders. Another example

    is how to screen sources, materials, and pathways of exposure in order to focus the

    assessment on those elements that are the most important. These subjects had to be

    omitted to keep to a reasonable length.

    We did not want the book to be simply a compilation of papers by authors; rather,

    we worked hard with the contributors to have the chapters fit together as cohesiveelements to cover the entire science of radiological assessment. Undertaking this

    effort to employ the talents of a diverse group of individuals who are recognized as

    experts in their own right is a considerable challenge. We hope we have achieved suc-

    cess at merging the materials so that this textbook is useful, readable, and applicable

    to a wide variety of users.

    John E. Till

    Helen A. Grogan

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    Acknowledgments

    We are very grateful to the contributors to this book who provided their chapters

    while diligently and thoroughly responding to our editing suggestions and ideas.

    We especially thank them for their cooperation and persistence because this effort

    has taken such a long time to complete. Some chapters were revised significantly

    over the time we have been working together, and the patience that our contributors

    showed during this time is especially appreciated. We have been truly fortunate to

    have some of the best scientists in our profession to assist us.

    Editing and proofreading this book has been the primary responsibility ofMs. Cindy Galvin and Ms. Julie Wose. Cindy works as the editor for our research

    team. In addition to her routine duties trying to keep our technical reports and pub-

    lications in top quality, the book has been a responsibility she willingly took on for

    almost two years. She has had to work with the different contributors and accommo-

    date their individual styles and writing mannerisms. She has accomplished this task

    in a pleasant and professional way. Julie Wose assisted with proofreading and check-

    ing text, references, tables, and figures. Julie has a superb ability to pour through

    hundreds of numbers in tables and figures looking for errors or items that seem

    incongruous with other information being presented. She has been of immense help

    throughout the course of this effort.

    Ms. Shawn Mohler assisted us with graphics in some chapters. Shawn has a

    superb talent for creating new graphic art or revising old or outdated artwork.

    We especially acknowledge our entire research team, Risk Assessment Corpora-

    tion (RAC), who agreed to contribute to the book or who helped us in other ways.

    RAC team members Art Rood, Jim Rocco, Lisa Stetar, Lesley Hay Wilson, and Paul

    Voillequ contributed chapters to the book. We fully understand and appreciate the

    extra effort required to contribute to this book while they were meeting deadlines

    ix

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    x Acknowledgments

    for other projects. A considerable amount of the work presented in our chapters

    was taken from work performed by the RAC team as a whole. Therefore, everyone

    on our team deserves credit and special recognition for their contribution to this

    high-quality and unique volume.A special thanks and recognition to Dr. Bob Meyer, who co-edited the first book,

    published in 1983. Bob was instrumental in keeping the idea of an updated version

    alive over the years. Bobs new work responsibilities, intense commitments, and

    busy schedule prevented him from continuing this collaboration. Nevertheless, his

    contributions and involvement in radiological assessment over the past 30 years

    have helped shape the science.

    Finally, we acknowledge the patience of Peter Prescott of Oxford University

    Press, who has exemplified an extraordinary patience with us in delivering themanuscript. Peter has worked with us from the beginning. Since we began assem-

    bling and editing this book, our lives have undertaken a number of turns, both

    positive and negative. Our research always had to come first because of commitments

    to customers, which meant that we often lost our focus on the book. Nevertheless,

    Peter always maintained his confidence in the book and its importance. We appreci-

    ate this dedication to our effort by both Peter Prescott and his entire staff at Oxford

    University Press.

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    Contents

    Contributors xxv

    1 The Radiological Assessment Process 1John E. Till

    Radiological Assessment Process 2

    Source Term 3

    Environmental Transport 5

    Environmental Transport of Plutonium in Air During

    the 1957 Fire at Rocky Flats 6

    Exposure Factors 8

    Rocky Flats Representative Exposure Scenarios 9

    Hanford Site Scenarios for Native Americans 10

    Conversion to Dose 12

    Uncertainty in Dose Coefficients 12

    Appropriate Use of Dose Coefficients as a Function of Age 13

    Conversion of Dose to Risk 13

    Why Risk? 14

    Risk Coefficients 14Uncertainty Analysis 15

    Use of Uncertainty for Determining Compliance with Standards 17

    Validation 18

    Communication of Dose and Risk and Stakeholder Participation 21

    Communication of Results from Radiological Assessment 21

    Stakeholder Participation 24

    Conclusion 28

    References 28

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    xii Contents

    2 Radionuclide Source Terms 31Paul G. Voillequ

    Radionuclides of Interest and Their Properties 32

    Situations That Do Not Require Source Terms 37Human Activities Producing Releases of Radionuclides 38

    Uranium Mining 39

    Uranium Milling 39

    Uranium Conversion 40

    Uranium Enrichment 40

    Weapon Component and Fuel Fabrication 41

    Reactors 42

    Source Terms for Normal Operations 44Source Terms for Accidents 56

    Fuel Processing Plants 58

    Solid Waste Disposal 61

    Source Term Development for Facilities 62

    Source Terms for Prospective Analyses 62

    Source Terms for Retrospective Analyses 64

    Problems 66

    References 69

    3 Atmospheric Transport of Radionuclides 79Todd V. Crawford, Charles W. Miller, and Allen H. Weber

    The Atmosphere 80

    Composition 80

    Vertical Extent Important for Atmospheric Releases 80

    Scales of Motion 81

    Macroscale 84

    Mesoscale 84Microscale 87

    Input Data for Atmospheric Transport

    and Diffusion Calculations 89

    Source 89

    Winds 90

    Turbulence and Stability 93

    Atmospheric Stability Categories 94

    Pasquill-Gifford Stability Categories 95

    Richardson Number 99

    Mixing Height 106

    Meteorological Data Quality 108

    Modeling of Transport and Diffusion 108

    Gaussian Diffusion Models 109

    Instantaneous Point Source 109

    Continuous Point Source 110

    Continuous Line Source 110

    Continuous Point Source Release from a Stack 111

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    Contents xiii

    Sector Averaging 112

    Modifications Based on Source Characteristics 113

    Special Considerations 116

    Summary of Gaussian Plume Model Limitations 119Puff-Transport and Diffusion Models 120

    Puff Transport 120

    Puff Diffusion 121

    Sequential Puff-Trajectory Model 122

    Multibox Models 125

    Calculation Grid 125

    Calculation Methods and Limitations 126

    Particle-in-Cell Models 126Screening Models 127

    Atmospheric Removal Processes 128

    Fallout 129

    Dry Deposition 129

    Wet Deposition 130

    Model Validation 132

    Model Uncertainty 134

    Guidelines for Selecting Models 136

    Regulatory Models 137 AERMOD Model 137

    CALPUFF Model 138

    CAP88 Model 138

    Conclusions 139

    Problems 139

    References 140

    4 Surface Water Transportof Radionuclides 147Yasuo Onishi

    Basic Transport and Fate Mechanisms 149

    Transport 149

    Water Movement 149

    Sediment Movement 150

    Bioturbation 151

    Intermedia Transfer 151

    Adsorption and Desorption 151

    Precipitation and Dissolution 152

    Volatilization 153

    Physical Breakup 153

    Degradation/Decay 153

    Radionuclide Decay 153

    Transformation 153

    Yield of Daughter Products 153

    Radionuclide Contributions from Other Environmental Media 154

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    xiv Contents

    Radionuclide Transport Models 154

    Accidental Radionuclide Releases 155

    Routine Long-Term Radionuclide Releases 156

    Rivers 159Basic River Characteristics 159

    Screening River Model 163

    Estuaries 167

    Basic Estuarine Characteristics 167

    Screening Estuary Methodology 171

    Coastal Waters and Oceans 176

    Basic Coastal Water and Ocean Characteristics 176

    Coastal Water Screening Model 179Lakes 181

    Basic Lake Water Characteristics 181

    Small Lake Screening Model 183

    Large Lake Screening Model 185

    Sediment Effects 187

    Numerical Modeling 190

    Governing Equations 190

    Some Representative Models 191

    Chernobyl Nuclear Accident Aquatic Assessment 192

    Radionuclide Transport in Rivers 194

    Aquatic Pathways and Their Radiation Dose Contributions 197

    New Chernobyl Development 200

    Problems 200

    References 203

    5 Transport of Radionuclides

    in Groundwater 208

    Richard B. Codell and James O. Duguid

    Applications of Groundwater Models for Radionuclide

    Migration 209

    Geologic Isolation of High-Level Waste 209

    Shallow Land Burial 210

    Uranium Mining and Milling 210

    Nuclear Power Plant Accidents 211

    Types of Groundwater Models 211

    Groundwater Models for High-Level Waste Repositories 211

    Near-Field Performance 212

    Far-Field Performance 213

    Groundwater Models for Shallow Land Burial of Low-Level Waste 215

    Groundwater Models for Mill Tailings Waste Migration 215

    Equations for Groundwater Flow and Radioactivity Transport 216

    Groundwater Flow 216

    Saturated Flow 218

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    Contents xv

    Unsaturated Flow 219

    Mass Transport 219

    Chain Decay of Radionuclides 220

    Percolation of Water into the Ground 221Parameters for Transport and Flow Equations 222

    Diffusion and Dispersion in Porous Media 222

    Molecular Diffusion 222

    Dispersion 222

    Macrodispersion 223

    Determination of Dispersion 224

    Porosity and Effective Porosity 224

    Hydraulic Conductivity for Saturated Flow 226Sorption, Retardation, and Colloids 228

    Transport Based on Assumption of Equilibrium

    (Retardation Factor) 228

    Transport Based on Geochemical Models 231

    Colloid Migration 232

    Methods of Solution for Groundwater Flow and Transport 233

    Numerical Methods 233

    Finite Difference 233

    Finite Element 234Method of Characteristics 234

    Random Walk Method 234

    Flow Network Models 235

    Advection Models 235

    Analytic Elements 235

    Analytical Solutions of the Convective-Dispersive Equations 236

    Point Concentration Model 237

    Flux Model 240Generalization of Instantaneous Models 243

    Superposition of Solutions 243

    Simplified Analytical Methods for Minimum Dilution 243

    Models for Population Doses 246

    Source Term Models for Low-Level Waste 250

    Model Validation and Calibration 251

    Misuse of Models 253

    Problems 254

    References 254

    6 Terrestrial Food Chain Pathways: Concepts and Models 260F. Ward Whicker and Arthur S. Rood

    Conceptual Model of the Terrestrial Environment 262

    Strategies for Evaluating Food Chain Transport 268

    Predictive Approaches 268

    Direct Measurements 268

    Statistical Models 269

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    xvi Contents

    Mechanistic Models 270

    Choosing a Predictive Approach 271

    Model Attributes 271

    Mechanistic Models: The Mathematical Foundationsfor Single Compartments 273

    Concepts and Terminology of Tracer Kinetics 273

    Single-Compartment, First-Order Loss Systems 275

    Source and Sink Compartments 275

    Single Compartments with Constant Input Rates 277

    Single Compartments with Time-Dependent Input Rates 280

    Single-Compartment, NonFirst-Order Loss Systems 284

    The Convolution Integral 284Borels Theorem 285

    Derivation of Rate Constants Involving Fluid Flow

    Compartments 286

    Numeric Solutions 287

    Individual Transport Processes: Concepts and Mathematical

    Formulations 287

    Types of Processes 288

    Continuous Processes 288

    Discrete Processes 288Stochastic Processes 288

    Deposition from Air to Soil and Vegetation 289

    Gravitational Settling 289

    Dry Deposition 290

    Wet Deposition 292

    SoilVegetation Partitioning of Deposition 294

    Transport from Soil to Vegetation 295

    Suspension and Resuspension 296Root Uptake 303

    Transport from Vegetation to Soil 307

    Weathering 307

    Senescence 308

    Transport within the Soil Column 309

    Percolation 310

    Leaching 310

    Other Natural Processes Producing Vertical Migration in Soil 317

    Tillage 318

    Transport from Vegetation to Animals 318

    Transport from Soil to Animals 320

    Ingestion 320

    Inhalation 321

    Transfers to Animal-Derived Human Food Products 321

    Ingestion Pathways to Humans 323

    Dynamic Multicompartment Models: Putting It All Together 324

    Conclusions 331

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    Contents xvii

    Problems 333

    References 334

    7 Aquatic Food Chain Pathways 340Steven M. Bartell and Ying Feng

    Aquatic Ecosystem Classification 341

    Conceptual Model for an Aquatic Environment 342

    Physicochemical Processes 343

    Radionuclide Uptake and Concentration Factors 344

    Examples of Bioconcentration Factors 348

    Bioconcentration Factors in Screening-Level Risk Estimations 351

    Bioaccumulation Factors in Estimating Exposure 352Bioaccumulation under Nonequilibrium Conditions:

    The Chernobyl Cooling Pond Example 354

    Initial137Cs Contamination in the Chernobyl Cooling

    Pond Water 355

    The Chernobyl Cooling Pond Ecosystem 356

    Chernobyl Cooling Pond Model Structure 357

    Food Web Structure 360

    Population Dynamics and Biomass Distributions 360

    Spatial and Temporal Radionuclide Ingestion Rates 362Radionuclide Transport and Distribution 363

    Case Studies in Exposure and Bioaccumulation 364

    Case 1: Homogeneous and Steady-State Exposures 364

    Case 2: Homogeneous and Dynamic Radioactive Environment 364

    Case 3: Homogeneous and Dynamic Radioactive Environment

    with Dynamic Population Biomass 366

    Case 4: Heterogeneous and Dynamic Radioactive Environment 366

    Case 5: Heterogeneous and Dynamic Radioactive Environmentwith Varying Biomass 367

    Case 6: Dynamic Exposures and Variations in Feeding Rates 368

    Case 7: Dynamic Exposures and Multiple Prey 368

    Discussion of the Chernobyl Modeling Results 368

    Temporally and Spatially Dependent Ecological Factors 370

    Problems 371

    References 372

    8 Site Conceptual Exposure Models 376James R. Rocco, Elisabeth A. Stetar, and Lesley Hay Wilson

    Evaluation Area 377

    Interested Party Input 377

    Exposure Pathways 378

    Sources and Source Areas 379

    Radionuclides 380

    Exposure Areas 381

    Potentially Exposed Persons 382

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    xviii Contents

    Behaviors and Activities 383

    Exposure Media 383

    Exposure Routes 383

    Transport Mechanisms 384Transfer Mechanisms 385

    Exposure Scenarios 385

    Exposure Factors 386

    Problems 387

    References 388

    9 Internal Dosimetry 389

    John W. Poston, Sr., and John R. FordExternal versus Internal Exposure 389

    Internal Dose Control 392

    Regulatory Requirements 394

    ICRP Publication 26 Techniques 394

    Tissues at Risk 397

    ICRP Publication 30 Techniques 399

    Determination of the Tissue Weighting Factors 399

    Secondary and Derived Limits 400Other Definitions 402

    Calculation of the Committed Dose Equivalent 402

    Dosimetric Models Used in the ICRP 30 Calculations 409

    Model of the Respiratory System 409

    Model of the Gastrointestinal Tract 417

    Dosimetric Model for Bone 419

    Submersion in a Radioactive Cloud 421

    Recent Recommendations 422ICRP Publication 60 422

    Dosimetric Quantities 423

    Dose Limits 429

    Age-Dependent Doses to the Public (ICRP Publications

    56, 67, 69, 71, and 72) 430

    ICRP Publication 56 432

    ICRP Publication 67 434

    ICRP Publication 69 437 ICRP Publication 71 437

    ICRP Publication 72 442

    ICRP Publication 89 443

    ICRP Publications 88 and 95 444

    Summary 444

    Problems 445

    References 445

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    Contents xix

    10 External Dosimetry 447David. C. Kocher

    Dose Coefficients for External Exposure 448

    Definition of External Dose Coefficient 449Compilation of External Dose Coefficients 449

    Description of Dose Coefficients in Current Federal Guidance 450

    Applicability of Dose Coefficients 452

    Effective Dose Coefficients 453

    Dose Coefficients for Other Age Groups 454

    Corrections to Dose Coefficients for Photons 454

    Shielding during Indoor Residence 455

    Effects of Ground Roughness 455Exposure during Boating Activities 456

    Exposure to Contaminated Shorelines 456

    Point-Kernel Method 457

    Description of the Point-Kernel Method 457

    Point-Kernel Method for Photons 459

    Applications of the Point-Kernel Method for Photons 459

    Point-Kernel Method for Electrons 461

    Problems 461

    References 462

    11 Estimating and Applying Uncertainty in Assessment Models 465Thomas B. Kirchner

    Why Perform an Uncertainty Analysis? 468

    Describing Uncertainty 469

    Probability Distributions 471

    Descriptive Statistics 471

    Statistical Intervals 476Confidence Intervals 476

    Tolerance Intervals 479

    Typical Distributions 483

    Correlations and Multivariate Distributions 485

    Assigning Distributions 487

    Deriving Distributions from Data 490

    Estimating Parameters of a Distribution 491

    Using Limited Data 491

    Using Expert Elicitation 493

    Methods of Propagation 497

    Analytical Methods 497

    Sum and Difference of Random Variables 498

    Product of Random Variables 499

    Quotient of Random Variables 500

    Formulas for Normal and Lognormal Distributions 501

    Linear Operations 501

    Geometric Means and Standard Deviations 501

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    xx Contents

    Mathematical Approximation Techniques 502

    Mean 502

    Variance 502

    Propagation Using Interval Estimates 504Sum and Difference 504

    Products and Quotients 504

    Other Functions 505

    Covariance and the Order of Operations 505

    Monte Carlo Methods 506

    Generating Random Numbers 508

    Potential Problems with Monte Carlo Methods 508

    Sampling Designs 509

    Simple Random Sampling 509

    Latin Hypercube Sampling 509

    Importance Sampling 510

    Sampling Designs to Partition Variability and True

    Uncertainty 511

    Number of Simulations 511

    Interpretation of the Output Distributions 513

    Sensitivity Analysis 517Local Sensitivity Analysis 518

    Global Sensitivity Analysis 520

    Statistics for Ranking Parameters 521

    Uncertainty and Model Validation 522

    Summary 524

    Problems 525

    References 526

    12 The Risks from Exposure to Ionizing Radiation 531

    Roger H. Clarke

    Radiobiological Effects after Low Doses of

    Radiation 533

    Biophysical Aspects of Radiation Action on Cells 533

    Chromosomal DNA as the Principal Target for Radiation 535

    Epigenetic Responses to Radiation 535

    Effects at Low Doses of Radiation 537 Dose and Dose-Rate Effectiveness Factor 538

    Genetic Susceptibility to Cancer 538

    Heritable Diseases 539

    Cancer Epidemiology 540

    Japanese A-Bomb Survivors 541

    Other Cohorts 542

    In Utero Exposures 543

    Uncertainties in Risk Estimates Based on Mortality Data 544

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    Contents xxi

    Risk Coefficients for Cancer and Hereditary Effects 545

    Cancer Risk Coefficients 545

    Hereditary Risk 546

    Overall Conclusions on Biological Effects at Low Doses 547Problems 549

    References 549

    13 The Role of Epidemiology in Estimating Radiation Risk:

    Basic Methods and Applications 551

    Owen J. Devine and Paul L. Garbe

    Measures of Disease Burden in Populations 552

    Estimating Disease Risk 552Estimating Disease Rate 554

    Estimating Disease Prevalence 555

    Measures of Association between Disease Risk and

    Suspected Causative Factors 557

    Risk Ratio 557

    Risk Odds Ratio 559

    Exposure Odds Ratio 559

    Study Designs Commonly Used in EpidemiologicInvestigations 563

    Cohort Designs 563

    CaseControl Designs 565

    Nested Designs 566

    Assessing the Observed Level of Association between

    Disease and Exposure 566

    Interpreting Estimates of Disease Exposure Association 567

    Confidence Intervals 570Issues in Radiation Epidemiology 580

    Conclusion 584

    Problems 584

    References 587

    14 Model Validation 589

    Helen A. Grogan

    Validation Process 590Model Composition 591

    Model Performance 593

    Calibration 594

    Tests of Model Performance 596

    Testing for Bias 596

    Measures of Scatter 598

    Correlation and Regression 599

    Visual Display of Information 599

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    xxii Contents

    Reasons for Poor Model Performance 603

    User Error 604

    The Model 605

    The Assessment Question 607 Conclusions 608

    Problems 608

    References 609

    15 Regulations for Radionuclides

    in the Environment 613

    David C. Kocher

    Principal Laws for Regulating Exposures to Radionuclidesand Hazardous Chemicals in the Environment 614

    Institutional Responsibilities for Radiation Protection of the Public 617

    Responsibilities of U.S. Governmental Institutions 617

    U.S. Environmental Protection Agency 617

    U.S. Nuclear Regulatory Commission 617

    U.S. Department of Energy 618

    State Governments 618

    Role of Advisory Organizations 619Standards for Controlling Routine Radiation Exposures

    of the Public 619

    Basic Approaches to Regulating Exposure to Radionuclides

    in the Environment 619

    Radiation Paradigm for Risk Management 620

    Chemical Paradigm for Risk Management 622

    Linear, Nonthreshold DoseResponse Hypothesis 622

    Radiation Protection Standards for the Public 624

    Guidance of the U.S. Environmental Protection Agency 624

    Radiation Protection Standards of the U.S. Nuclear

    Regulatory Commission 625

    Radiation Protection Standards of the U.S. Department of Energy 626

    State Radiation Protection Standards 627

    Current Recommendations of the ICRP, NCRP, and IAEA 627

    Summary of Radiation Protection Standards for the Public 628

    Standards for Specific Practices or Sources 629

    Operations of Uranium Fuel-Cycle Facilities 630Radioactivity in Drinking Water 631

    Radioactivity in Liquid Discharges 635

    Uranium and Thorium Mill Tailings 636

    Other Residual Radioactive Material 639

    Radioactive Waste Management and Disposal 648

    Airborne Emissions of Radionuclides 660

    Indoor Radon 662

    Risks Associated with Radiation Standards for the Public 664

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    Contents xxiii

    Consistency of Radiation Standards for the Public 666

    Importance of ALARA Objective to Consistent Regulation 669

    Exemption Levels for Radionuclides in the Environment 671

    Concepts of Exemption 671De Minimis Level 671

    Exempt or Below Regulatory Concern Level 671

    Recommendations of Advisory Organizations 672

    Recommendations of the NCRP 672

    Recommendations of the IAEA 672

    Exemptions Established by the U.S. Nuclear Regulatory Commission 673

    Exemptions in U.S. Nuclear Regulatory Commission Regulations 673

    U.S. Nuclear Regulatory Commission Guidance on Disposal ofThorium or Uranium 674

    Protective Action Guides for Accidents 674

    Purpose and Scope of Protective Action Guides 675

    Time Phases for Defining Protective Actions 675

    Protective Action Guides Established by Federal Agencies 676

    Recommendations of the U.S. Environmental Protection Agency 676

    Recommendations of the U.S. Food and Drug Administration 676

    Proposed Recommendations of the U.S. Department of

    Homeland Security 677 U.S. Nuclear Regulatory Commissions Reactor Siting Criteria 679

    ICRP Recommendations on Responses to Accidents 680

    IAEA Guidelines for Intervention Levels in Emergency Exposure

    Situations 681

    Conclusions 682

    References 683

    Index 689

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    Contributors

    Steven M. Bartell, PhD

    Principal Scientist and Manager

    E2 Consulting Engineers, Inc.

    339 Whitecrest Drive

    Maryville, Tennessee 37801

    Roger H. Clarke

    Emeritus Member, InternationalCommission on Radiological

    Protection

    Corner Cottage, Woolton Hill

    Newbury, RG209XJ

    United Kingdom

    Richard B. Codell, PhD

    Consultant to the U.S. NuclearRegulatory Commission

    4 Quietwood Lane

    Sandy, Utah 84092

    Todd V. Crawford, PhDa

    Consultant

    Owen J. Devine, PhD

    National Center on Birth Defects

    and Developmental Disabilities

    MS E-87

    Centers for Disease Control and

    Prevention

    1600 Clifton Road

    Atlanta, Georgia 30333

    James O. Duguid, PhD

    JK Research Associates

    29 Touchstone Lane

    Amissville, Virginia 20106

    Ying Feng, PhD

    7047 Dean Farm RoadNew Albany, Ohio 43504

    John R. Ford, PhD

    Department of Nuclear Engineering

    Texas A&M University

    3133 TAMU

    a Deceased.

    xxv

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    xxvi Contributors

    College Station,

    Texas 77843-3133

    Paul L. Garbe, DVMNational Center for Environmental

    Health MS E-17

    Centers for Disease

    Control and Prevention

    1600 Clifton Road

    Atlanta, Georgia 30333

    Helen A. Grogan, PhDCascade Scientific, Inc.

    1678 NW Albany Avenue

    Bend, Oregon 97701

    Thomas B. Kirchner, PhD

    Carlsbad Environmental Monitoring

    and Research Center

    New Mexico State University

    1400 University Drive

    Carlsbad, New Mexico 88220

    David C. Kocher, PhD

    SENES Oak Ridge, Inc.

    102 Donner Drive

    Oak Ridge, Tennessee 37830

    Charles W. Miller, PhDChief, Radiation Studies Branch

    Division of Environmental

    Hazards and Health Effects

    National Center for

    Environmental Health

    Centers for Disease Control

    and Prevention

    2400 Century ParkwayAtlanta, Georgia 30345

    Yasuo Onishi, PhD

    Yasuo Onishi Consulting, LLC

    Adjunct Full Professor,

    Washington State University

    144 Spengler Street

    Richland, Washington 99354

    John W. Poston, Sr., PhD

    Department of Nuclear Engineering

    Texas A&M University

    3133 TAMU

    College Station, Texas 77843-3133

    James R. Rocco

    Sage Risk Solutions, LLC

    360 Heritage Road

    Aurora, Ohio 44202

    Arthur S. Rood, MS

    K-Spar, Inc.

    4835 W. Foxtrail LaneIdaho Falls, Idaho 83402

    Elisabeth A. Stetar, CHP

    Performance Technology Group, Inc.

    1210 Seventh Avenue North

    Nashville, Tennessee 37208-2606

    John E. Till, PhD

    Risk Assessment Corporation

    417 Till Road

    Neeses, South Carolina 29107

    Paul G. Voillequ, MS

    MJP Risk Assessment, Inc.

    P.O. Box 200937

    Denver, Colorado 80220-0937

    Allen H. Weber, PhD

    Consultant

    820 Jackson Avenue

    North Augusta, Georgia 29841

    F. Ward Whicker, PhD

    Department of Radiological

    Health SciencesColorado State University

    Fort Collins, Colorado 80523

    Lesley Hay Wilson, PhD

    Sage Risk Solutions, LLC

    3267 Bee Caves Road, Suite 107

    PMB 96

    Austin, Texas 78746

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    1

    The Radiological AssessmentProcess

    John E. Till

    R adiological assessment is defined as the process of estimating dose and risk

    to humans from radioactive materials in the environment. These radioactive

    materials are generally released from a source that may be either man-made or

    natural. The materials may be transported through the environment and appear as

    concentrations in environmental media. These concentrations can be converted to

    dose and risk by making assumptions about exposure to people.

    The chapters in this book explain the basic steps of radiological assessment thatare typically followed. There is some logic to the order of the chapters and to the

    sequence of steps generally undertaken in radiological assessment. Some of this

    logic comes from my own experience over the years, and some of it is defined by

    the calculation process in radiological assessment because certain information must

    be known before proceeding to the next step. This logic is explained in the sections

    that follow.

    Over the years, some scientists have suggested that the term radiological assess-

    ment does not quantitatively express the intense level of computational science that

    is necessary to estimate dose or risk. As a result, scientists have instead used the

    terms environmental risk assessment or environmental risk analysis to describe

    the process. Regardless of what it is called, radiological assessment has matured

    significantly over the past three decades. It has become the foundation of many reg-

    ulations and legal cases and has provided a means for decision makers to take action

    on important issues such as cleanup of contaminated sites and control of emissions

    to the environment from nuclear facilities. Additionally, radiological assessment has

    increasingly become a fundamental element in communicating information to stake-

    holders about exposure to radioactive materials in the environment. Stakeholders

    1

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    2 Radiological Risk Assessment and Environmental Analysis

    are people who have an interest in the assessment process and the policies or recom-

    mendations that result from it. This term is defined in greater detail later in this

    chapter.

    Radiological assessment requires the merging of a number of scientific disciplinesto provide quantitative estimates of risk to humans. The book focuses on humans

    as an end point because decision makers typically use that end point to allocate

    resources and resolve issues. More specifically, the targeted person is a member

    of the public. The public is usually the objective in the assessment because when

    radioactive materials are released to the environment, it is members of the public

    who are or will be exposed. Although the primary target of exposure in the book is

    a member of the public, many of the technical methods described here also address

    occupational exposures.Although the book focuses on how we estimate dose and risk to a member of

    the public, it is becoming more evident that impacts to the environment must also

    be taken into account. Whicker et al. (2004) stress that care must be taken to avoid

    destroying ecological systems in the interest of reducing inconsequential human

    health risks. This is an essential point for everyone to understand. Although we do

    not address ecological impacts in this book, many of the same principles described

    could be used to consider these impacts. In the end, both impacts on humans and

    impacts on the environment must be taken into account before good decisions can

    be made.A number of examples are used in this chapter to illustrate key points being made

    about specific areas of radiological assessment. These examples are taken from

    work I and my research team, Risk Assessment Corporation, have performed over

    the years.Although specific reports are cited, it must be emphasized that radiological

    assessment can rarely be performed by a single individual. It generally requires the

    skills of people across several scientific disciplines.

    Radiological Assessment Process

    Contemporary radiological assessment began with the testing of nuclear weapons as

    scientists tried to predict the path of radioactive fallout and the dose to people who

    lived downwind. Early research in this area, more than any other, laid the foundation

    for the methods we still use today to estimate risk to people from radioactive mate-

    rials in the environment. More recently, research to reconstruct historical releases

    of radionuclides to the environment from atmospheric nuclear weapons testing and

    from nuclear weapons facilities resulted in significant improvements in methods to

    estimate risk (Till 1990; Till et al. 2000, 2002). This research included many new

    areas of investigation, such as estimation of source terms, transport of radioactive

    materials in the environment, uptake of radionuclides by humans and biota, and the

    development of dose and risk coefficients.

    Radiological assessment is not confined to a specific time frame; it can address the

    past, present, or future. Dose and risk can be estimated for possible future releases

    of materials (prospective), for present-day releases, or for releases that occurred in

    the past (retrospective). Risk can be estimated for present-day or potential future

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    The Radiological Assessment Process 3

    releases of materials at existing or planned facilities. Such assessments are typically

    designed to demonstrate compliance with standards. Risk can also be estimated for

    releases that occurred in the past to help understand the impact of those releases.

    The dose reconstruction studies conducted on the weapons complex facilities in theUnited States provide excellent examples of retrospective risk assessments, as do the

    studies of populations exposed following the Chernobyl reactor accident. Although

    the risk assessments may be undertaken somewhat differently in their methods, there

    are many similarities in the techniques applied to each.

    The components that comprise radiological assessment today evolved from indi-

    vidual sciences that have been merged gradually (and lately, more frequently) to

    form the computational methods we now use to estimate dose and risk to humans.

    In explaining the process of radiological assessment to colleagues and to the public,I often use the following illustrative equation to express the interdisciplinary nature

    of this research:

    Risk= (S TE D R)uvcp (1.1)where

    S= source termT= environmental transport

    E= exposure factorsD= conversion to doseR = conversion of dose to risku= uncertainty analysisv= validationc= communication of results

    p= participation of stakeholdersIn the sections that follow, each of these components of radiological assessment

    is discussed, with emphasis on several key concepts that are important to keep inmind.

    Source Term

    The source term is the characterization and quantification of the material released

    to the environment. It is the heart of a risk assessment. We frequently give too

    little attention to the derivation of the source term, and yet this step is where the

    greatest potential lies for losing scientific and stakeholder credibility. This is also

    the component of radiological assessment that typically requires the most resources

    relative to the other steps. Therefore, it is important that development of the source

    term be given highest priority and that the source term be carefully estimated before

    moving to the next step of radiological assessment.

    Chapter 2 of this book, contributed by Paul Voillequ, addresses source terms.

    The chapter covers an expansive scope of which nuclear materials are typically

    released to the environment and how to quantify them. Issues such as chemical

    form, particle size, temporal trends, and estimating releases when measurement

    data are not available are discussed.

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    4 Radiological Risk Assessment and Environmental Analysis

    Two key points need to be mentioned about how source terms should be derived in

    radiological assessment. The first point is that uncertainties should be included with

    the estimates of releases if a realistic estimate of the source is to be used. Methods

    for estimating uncertainties in the source term and other aspects of radiologicalassessment are discussed in chapter 11. This aspect has been overlooked in the past,

    with release estimates being reported as point values when in reality we know there

    is a range of possible values that exist even when good monitoring data are available

    on which to base the source term.

    An alternative approach to addressing uncertainties in the source term that may be

    useful for screening or providing preliminary estimates to determine the significance

    of a particular source is the use of an upper bound, deterministic value. The upper

    bound approach is designed to provide doses and risks that are significantly greaterthan what is expected to occur. This approach may be useful for screening or making

    preliminary comparisons of the impact of different sources.

    The second key point is that the source term should be derived using as many dif-

    ferent independent approaches as possible to increase the confidence that a credible

    estimate has been made. This is especially important in historical dose reconstruc-

    tion, where sources that may have occurred many years ago are being estimated.

    This point is illustrated in the work of Meyer et al. (1996) that reconstructed source

    terms for the Fernald Feed Materials Production Center (FMPC), near Cincinnati,

    Ohio, which was formerly a part of the U.S. nuclear weapons complex that pro-cessed uranium ore. The facility has now been decommissioned and cleaned up.

    This study estimated the release of uranium from the FMPC using two methods.

    The first method, which could be called the inside-out approach, considered the

    amounts of material being processed at the site and estimated the fractional release

    of uranium to the atmosphere through various effluent treatment systems (primar-

    ily scrubbers and dust collectors). Using this approach, it was determined that the

    median quantity of uranium released to the atmosphere was 310,000 kg, with the

    5th and 95th percentiles ranging between 270,000 kg and 360,000 kg, respectively.These results are shown in table 1.1.

    An alternative calculation, called the outside-in approach, was performed as

    a check to verify the calculation, looking at the amount of uranium deposited on

    soil within 7.5 km of the site based on soil samples that had been collected over

    time. Taking into account environmental removal of some of the uranium and the

    amount of uranium that would have been deposited from the atmosphere, it was

    estimated that the source term for uranium released from the site to the atmosphere

    Table 1.1 Uranium and radon source terms for the Fernald FeedMaterials Production Center for 19511988a (Voillequ et al. 1995)

    Source: uranium Median release 5th percentile 95th percentile

    to atmosphere estimate

    Primary estimate 310,000 270,000 360,000

    Alternative calculation 212,000 78,000 390,000

    aValues are in kilograms of uranium.

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    The Radiological Assessment Process 5

    would lie between 78,000 kg and 390,000 kg, with a median value of 212,000 kg.

    This alternative calculation, although the uncertainties are large, provides additional

    confidence that the source term estimate for uranium is reasonable.

    Without a defensible estimate of the source term, it is not possible to provide adefensible estimate of dose or risk, and the credibility of the assessment is lost. There-

    fore, it is critical to carefully and thoroughly address this first step in radiological

    assessment.

    Environmental Transport

    Once the source term has been estimated, the next step is to determine where in the

    environment the radioactive materials go and what are the resulting concentrationsin environmental media. This step is called environmental transport.

    One of the first tasks in evaluating environmental transport is to identify the

    relevant exposure pathways. Figure 1.1 illustrates possible pathways typically con-

    sidered in radiological assessment. However, not all pathways shown in the diagram

    typically apply to every site or radionuclide. Special pathways of concern may also

    exist that are not shown here. Determining important pathways and eliminating

    those that are not important is a critical step that can help focus resources. This pro-

    cess can be accomplished using screening models or other techniques that are easy

    Airborne Effluents

    AirS

    ubm

    ersio

    n

    Inh

    alationand

    T

    ranspiration

    D

    epositio

    n

    toG

    round

    Dep

    ositio

    n

    toCrop

    s

    Irrigation Crop

    Ingestion

    Ingestion

    Meat

    MilkIngestion

    WaterImmersion

    andWaterSurface

    ShorelineExposure

    WaterIngestion

    AquaticFoo

    d

    Ingestion

    Uptake by

    Aquatic Plants

    Resuspensionof Deposited

    Materials

    Liquid Effluents

    to Surface Water

    and Groundwater

    Figure 1.1 Diagram illustrating pathways typically considered in radiological assessment.

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    6 Radiological Risk Assessment and Environmental Analysis

    to use and help set priorities for the focus of the assessment (NCRP 1996; Mohler

    et al. 2004).

    Environmental transport necessarily involves individuals from a number of sci-

    entific disciplines because different pathways of exposure have to be considered.Consequently, environmental transport of materials in the environment makes up a

    large part of this book. Chapter 3, contributed by Todd Crawford, Charles Miller,

    and Allen Weber, focuses on the transport of radioactive materials through the

    atmosphere. Chapter 4, contributed by Yasuo Onishi, discusses the transport of

    radioactive materials in surface water. Chapter 5, contributed by Richard Codell and

    James Duguid, looks at transport in groundwater. Chapter 6, contributed by Ward

    Whicker and Arthur Rood, provides methods for evaluating transport of radioac-

    tive materials in terrestrial food chain pathways. Chapter 7, contributed by StevenBartell and Ying Feng, considers the transport of materials in aquatic food chain

    pathways. These chapters present a comprehensive look at the state-of-the-art sci-

    ence today in estimating environmental transport techniques used in radiological

    assessment.

    Transport of radioactive materials in the environment can be determined in sev-

    eral ways. If there are measurement data in the environment that are sufficiently

    thorough, these measurements may be used directly to determine concentrations

    in media. The more data that are available to characterize the environment around

    a site, the more defensible will be the estimates of dose and risk. In fact, mea-surements of environmental concentrations are always preferable to modeling. It

    is rare, however, that measured data can be used in place of models. This is espe-

    cially true when radiological assessment is being undertaken for a new facility

    where releases of materials will occur at some point in the future. In most cases,

    environmental transport is determined using a combination of both modeling and

    measurement data.

    To illustrate environmental transport, I use the work performed by our research

    team during the historical dose reconstruction for the Rocky Flats EnvironmentalTechnology Site near Denver, Colorado. This site has been decommissioned and is

    now a wildlife refuge. The goal of the project was to reconstruct risks to members

    of the public from releases of plutonium and other materials at the site. Most of

    the plutonium was released to the atmosphere, and the most significant release was

    during a fire that occurred in September 1957. Understanding the risks associated

    with this source of plutonium and where it went in the environment was crucial to

    the success of the study (Rood et al. 2002; Till et al. 2002).

    Environmental Transport of Plutonium in Air Duringthe 1957 Fire at Rocky Flats

    In order to determine environmental transport of plutonium during and after the

    1957 fire at Rocky Flats, several critical pieces of information had to be obtained.

    First, a source term was needed that estimated the amount of plutonium released,

    the distribution of the release over time, the heat generated by the fire (to account

    for the rise of the plume), and the size of the particles released. This impor-

    tant part of the puzzle controlled the concentrations of plutonium in the plume

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    The Radiological Assessment Process 7

    as it moved downwind from the site. Since inhalation was determined to be the

    only major pathway of exposure, air concentration coupled with where people

    were located during the fire and their breathing rate determined the resulting

    risk. The source term was reconstructed (Voillequ 1999) by reviewing histori-cal records detailing the fire and interviewing fire experts. Quantities of plutonium

    released to the atmosphere were estimated for 15-min intervals during the time

    of the fire, along with the physical and chemical form of plutonium that was

    dispersed.

    The next critical piece of information we needed was data describing the meteoro-

    logical conditions during the fire. Information such as wind direction, wind velocity,

    and atmospheric conditions was required if the transport of the plutonium through air

    was to be understood. Fortunately, these data were collected and could be found inhistorical records. This information was used as input to RATCHET, an atmospheric

    dispersion model (Ramsdell 1994) that could take advantage of the resolution of

    meteorological data and the temporal distribution of the source.

    Once these steps were taken, time-integrated concentration valueswere combined

    with scenario exposure information and risk coefficients to yield the incremental

    lifetime cancer incidence risk to hypothetical individuals in the model domain. Pluto-

    nium released during the 1957 fire was modeled as puffs that entered the atmosphere

    every 15 min from 10:00 p.m. September 11 until 2:00 a.m. September 12, 1957

    (Rood and Grogan 1999). The transport calculations were continued until 7:00 a.m.

    September 12, 1957, to allow all the released plutonium to disperse throughout the

    model domain. The computer code simulations performed using RATCHET cov-

    ered a 9-h period. Because the effluent release temperature was estimated to be

    near 400C, there was significant plume rise, and maximum plutonium concen-trations in ground-level air were estimated some distance southeast of the Rocky

    Flats Plant, not adjacent to it. The concentration in air at ground level, typically at

    a height of 1 m, represents the air concentration to which people would have been

    exposed.At the time the fire started, the plume was transported in a westerly direction for

    a few kilometers. Around 10:45 p.m., the wind direction at the Rocky Flats plant

    shifted so that it blew out of the northwest and continued to blow from that direc-

    tion until about 4:00 a.m., September 12. Those winds transported the bulk of the

    airborne plutonium to the suburb of Arvada and toward the Denver metropolitan

    area. Near southern Arvada, the air mass converged with air flowing from the south-

    west in the Platte River Valley, which resulted in a northeasterly plume trajectory.

    Figure 1.2 shows the median (50th percentile) estimated time-integrated plutonium

    concentrations in air near ground level.

    This example of environmental transport of plutonium during the 1957 fire at

    Rocky Flats illustrates a very important point. First, without meteorological data

    collected at the time of the event, it would have been difficult to understand where

    the plume carried the plutonium and who may have been exposed. Obtaining these

    data that characterized atmospheric conditions at the precise time and location of

    the accident was essential to the assessment. In radiological assessment, a signifi-

    cant amount of time will be spent obtaining site-specific data that characterize the

    situation being investigated.

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    8 Radiological Risk Assessment and Environmental Analysis

    Figure 1.2 Estimated nine-hour average plutonium concentration in air one meter aboveground at the 50th percentile level during the 1957 fire (Till et al. 2002).

    Exposure Factors

    The dose or risk to a person depends upon a number of characteristics, called

    exposure factors, such as time, location, transport of radionuclides through the

    environment, and the traits of the individual. These traits include physiologi-

    cal parameters (e.g., breathing rate), dietary information (e.g., consumption rate

    of various foods), residence data (e.g., type of dwelling), use of local resources

    (e.g., agricultural resources), recreational activities (e.g., swimming), and any other

    individual-specific information that is necessary to estimate dose or risk. In radio-

    logical assessment, a specific set of these characteristics is referred to as an exposure

    scenario.

    The target of radiological assessment may be real individuals or representative

    individuals. Real individuals are those who are or were actually exposed. Their

    characteristics should be defined as closely as possible to those that actually exist.

    Representative, or hypothetical, individuals are not characterized by specific persons

    but have characteristics similar to people in the area who are or were exposed in the

    past or who may be exposed in the future.

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    The Radiological Assessment Process 9

    Exposure scenarios are described in a site conceptual exposure model (SCEM)

    that contains information about exposure factors specific for a given source and

    location. Chapter 8, contributed by James Rocco, Elisabeth Stetar, and Lesley Hay

    Wilson, addresses exposure factors and the SCEM.There is no prescribed approach for defining and presenting scenarios of exposure

    in radiological assessment. This decision must fit the particular assessment being

    undertaken, the type of individual (real or representative) being evaluated, and the

    goals of the assessment. Two examples follow that come from studies we performed

    at Rocky Flats and at the Hanford Site, a nuclear weapons production facility in

    Washington State.

    Rocky Flats Representative Exposure ScenariosA key component of the Rocky Flats dose reconstruction work was estimating the

    health impacts to representative individuals in the model domain. In this case, the

    cancer risk to people depended upon a number of factors, such as where the person

    lived and worked, when and how long that person lived near the site, the age and

    gender of the person, and lifestyle. It was not possible to create an exposure sce-

    nario that fit every person in the exposed population. To consider the many factors

    that influence exposure, exposure scenarios were developed for residents for whom

    representative risk estimates could be made, incorporating typical lifestyles, ages,genders, and times in the area. The scenarios provided a range of potential profiles

    and included a laborer, an office worker, a homemaker, an infant-child, and a stu-

    dent. The infant-child scenario represented a single individual who matured during

    the exposure period. Table 1.2 lists key features of the exposure scenarios used in

    the analysis.

    The five exposure scenarios were organized according to occupational and

    nonoccupational activities. Occupational activities included work, school, and

    extracurricular activities away from the home. Nonoccupational activities included

    time spent at home doing chores, sleeping, and leisure activities (e.g., watching

    television). In these calculations, the receptor was assumed to perform occupational

    and nonoccupational activities at the same location. The age of the individual during

    which exposure occurred was also considered when calculating risk.

    Risks were reported for these scenarios at various locations in the domain as

    illustrated in figure 1.3, which shows risks estimated for the laborer scenario.

    Table 1.2 Exposure scenario descriptions for Rocky Flats

    Exposure scenario Gender Year of Year beginning Year ending Days per year

    birth exposure exposure exposed

    Laborer Male 1934 1953 1989 365

    Homemaker Female 1934 1953 1989 350

    Office worker Female 1940 1965 1989 350

    Infant-child Female 1953 1953 1960 350

    Student Male 1957 1964 1974 350

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    10 Radiological Risk Assessment and Environmental Analysis

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    1953-59

    1960-69

    1970-79

    1980-89

    106

    105

    104

    103

    102

    101

    100

    101

    102

    103

    IncrementalLifetimeCancerIncidenceRisk1

    06 L

    eydon

    RFPEastE

    ntrance

    IndianaStreet&64th

    CoalCreek

    I-70andSh

    eridanBlvd

    StandleyLa

    keEast

    Broomfield

    Superior

    Denver

    Boulder

    Decade of Exposure

    Figure 1.3 Lifetime cancer incidence risk from plutonium inhalation for the laborer scenarioat selected locations in the model domain. Dots represent the 50th percentile value; horizontal

    bars represent the 5th and 95th percentile range. Cancer risks have been sorted by decade of

    exposure.

    Hanford Site Scenarios for Native Americans

    In almost every risk assessment, there are special population groups who do not

    fit the usage factors for the general public. One example of this occurred in the

    dose reconstruction project for the Hanford Site. The Hanford facility released large

    amounts of radionuclides, 131I in particular, to the atmosphere. Significant quantities

    of materials were also released directly into the Columbia River, which was used

    for cooling the production reactors at the site (Farris et al. 1994a).

    Pathways of exposure from the river were investigated thoroughly. Members of

    the general public who lived near the river received relatively small doses (estimated

    to be 15 mSv over about 40 years) from consumption of river water, consumption

    of fish from the river (150 kg of fish per year), and activities in and around the river.

    Special attention, however, had to be given to Native Americans who relied on the

    river for fish, a major component of their food (Grogan et al. 2002).

    There was concern by NativeAmericans that because their unique lifestyles relied

    more heavily on natural sources of local foods and materials and because they hadunique pathways of exposure, their risk may have been significantly greater than that

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    The Radiological Assessment Process 11

    of non-Native American people. Working with nine tribes in the region, scientists

    collected and summarized data, which allowed specific exposure factor information

    on diet, lifestyle, and special cultural ceremonies to be included to assess risk.

    There were several pathways for which few data were available to estimate expo-sure and for which Native Americans were concerned about risk. Examples of these

    included exposure from shoreline sediment used for paints and medicinal purposes,

    sweat lodges using Columbia River water, and inhalation of river water spray during

    fishing. The pathway of most concern was that of fish consumption, not only because

    of the large quantities of fish consumed but also because they consumed the whole

    fish, which could significantly increase the dose and risk since some radionuclides

    concentrate in the bones of fish. Table 1.3 shows fish consumption data gathered

    with the involvement of Native Americans in the area and used in our risk estimates.The results of the study indicated that except for the consumption of fish from the

    river, the risks from all other pathways would be small. In the case of consumption

    of fish, risks to Native Americans could have been substantially greater than those of

    non-Native American people. Since this study was a screening analysis, it is evident

    that the only pathway that deserved more detailed analysis, if quantitative estimates

    of risks were warranted, was consumption of fish from the Columbia River.

    This discussion related to exposure factors illustrates several important points.

    The individual who is the target of exposure must be clearly defined in the beginning

    of the assessment. This step will help determine the scenarios of exposure and helpidentify specific exposure factors needed for the assessment. It must also be decided

    how the scenarios of exposure will be presented in the end so that people can

    understand what dose or risk they may have received.

    The design of exposure scenarios and the data used to describe them are important

    to the credibility of the study. In some cases, generic information will be sufficient to

    characterize individuals for whom dose or risk is being calculated. It may be neces-

    sary, however, to undertake surveys or other methods for collecting exposure factor

    data when generic information is not available for specific groups of individualswith uncommon habits.

    Table 1.3 Fish consumption of Native Americans for the Columbia River nearthe Hanford Site as reported by Walker and Pritchard (1999)

    Fish categorya Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Total Holdupb

    (days)

    Omnivore 4 4 4 2 2 2 2 2 2 2 4 4 34 3

    First-order 0 0

    predator

    Second-order 4 4 4 2 2 2 2 2 2 2 4 4 34 3

    predator

    Salmon 3 3 3 22 22 22 22 22 22 22 3 3 169 14

    a Omnivorous fish include bullhead, catfish, suckers, whitefish, chiselmouth, chub, sturgeon, minnows, and shiners.

    First-order predators include perch, crappie, punkinseed, and bluegill. Second-order predators include bass, trout,

    and squawfish.b The time between obtaining fish from the river and consuming it.

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    12 Radiological Risk Assessment and Environmental Analysis

    Conversion to Dose

    The conversion of radioactive materials taken into the body or the conversion of

    external radiation to dose has become a routine process because of the large effortput into deriving and publishing dose coefficients over the past several decades.

    Two chapters in the book address conversion to dose. Chapter 9, contributed by

    John Poston and John Ford, describes concepts of internal dosimetry. Chapter 10,

    contributed by David Kocher, focuses on external dosimetry.

    There are two brief issues about conversion to dose I wish to make in this introduc-

    tory chapter. The first is the importance of uncertainties related to dose coefficients

    and when, or when not, to take this uncertainty into account. The second issue is

    relatively new (ICRP 2007) and is related to the appropriate use of dose coefficientsfor compliance as a function of age.

    Uncertainty in Dose Coefficients

    Until recently, little was understood about uncertainties associated with dose coef-

    ficients, and these values were typically used as single point values even when the

    radiological assessment was performed probabilistically. The use of single values

    probably came about because dose coefficients were first introduced as a means fordetermining compliance with a regulatory standard rather than for determining dose

    to individuals in a population. However, as more emphasis was placed on studies

    of populations where dose to specific individuals for use in epidemiology was the

    objective, it became clear that more information was needed on the uncertainty of

    these coefficients to properly address uncertainties in the calculation. As a result,

    considerable attention has been given to this important area of dosimetry over the

    past 10 years.

    In the Hanford Environmental Dose Reconstruction Project (Farris et al. 1994b),it was determined that one of the two most important contributors to overall uncer-

    tainty was the dose coefficient for 131I; the other key component of uncertainty

    was the feed-to-milk transfer coefficient. In this analysis, it was pointed out that

    the uncertainty in the iodine dose coefficient was due primarily to variability in the

    mass of the thyroid, uptake of iodine in the gastrointestinal tract, transfer of iodine

    to the thyroid, and the biological half-time of iodine.

    It is generally assumed that uncertainties associated with external dose coeffi-

    cients are much less than those for internal dose coefficients and that there is little

    variability in dose per unit of exposure with age (Golikov et al. 1999, 2000). One

    reason for this low variability is because external radiation fields can be measured,

    and if measurements are carried out properly, the variability is small for a given

    location. Determining uncertainty of internal dose coefficients is a much more com-

    plicated process because radionuclides disperse after being taken into the body, and

    it is not possible to quantify precisely where they go and to measure the resulting

    dose. Therefore, it becomes an intensive computational process involving many

    assumptions. Nevertheless, much progress is being made in this area of dosimetry,

    and it will continue to be a viable area for research in the future.

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    The Radiological Assessment Process 13

    Appropriate Use of Dose Coefficients as a Function of Age

    The International Commission on Radiological Protection (ICRP) has issued age-

    specific dose coefficients (dose per unit intake, Sv Bq1) for members of the publicin six age ranges covering the time period from the newborn infant to 70 years of

    age (ICRP 1995, 1996a, 1996b). Additional refinements of these coefficients are

    also available for the embryo/fetus (ICRP 2001, 2005). The ICRP (2007) points out

    that application of dose coefficients for the six age groups should be weighed in

    relation to the ability to predict concentrations in the environment from a source and

    the ability to account for uncertainties in habit data for individuals exposed. This

    is an important statement to consider in radiological assessment, especially when

    the assessment is being made for prospective calculations. It implies that a carefulbalance is needed between the resolution of dose coefficients being applied and the

    overall uncertainty in assessment.

    Most likely, scientists will continue to refine dose coefficients into more discrete

    categories of age; however, this increased resolution will not likely give a better

    estimate of dose. As a result, ICRP (2007) recommends that some consolidation of

    dose coefficients is justified when the coefficients are being used for the purpose

    of determining compliance. There are a number of reasons the ICRP changed its

    policy, including the idea that compliance is generally determined by a dose standard

    that is typically set at a level to protect individuals from exposure to a continuing

    source over the lifetime of an individual. Table 1.4 lists the three age groups now

    recommended by the ICRP for compliance calculations.

    The ICRP does recommend the use of specific age-group categories for ret-

    rospective calculations of dose and in addressing accidents. The reason for this

    recommendation is that specific information about age, diet, lifestyle, and other

    habit data is generally known.

    Internal dosimetry and external dosimetry continue to be important areas of

    research. Too frequently, we assume that work in this area of radiological assessmentis essentially complete; this assumption is not correct.

    Conversion of Dose to Risk

    If the objective of radiological assessment is to estimate risk, then converting dose to

    risk is the next step. This step is generally accomplished by applying risk coefficients

    to doses that have been calculated for individuals. Increasingly, the intermediate

    Table 1.4 Dose coefficients recommended by ICRP (2007)for compliance calculations

    Age category (years) Name of age category Dose coefficient and

    habit data to be used

    05 Infant 1-year-old

    615 Child 10-year-old

    1670 Adult Adult

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    14 Radiological Risk Assessment and Environmental Analysis

    step of calculating dose is subsumed into the calculation that converts exposure to

    risk. For example, Federal Guidance Report 13 (Eckerman et al. 1999) presents

    risk coefficients in terms of risk per unit intake via inhalation or ingestion. Risk

    coefficients and their foundation are covered in chapters 12 and 13. Chapter 12,contributed by Roger Clarke, addresses exposure standards, risk coefficients, and

    how these coefficients were developed over the years. Chapter 13, contributed by

    Owen Devine and Paul Garbe, explains how epidemiological studies to investigate

    the effects of exposure on populations can be designed to help determine if there

    are effects in populations following radiation exposure and if those effects can be

    attributed to the exposure.

    Until the past decade, the end point of radiological assessment was typically dose,

    and conversion to risk was not routinely undertaken. Converting dose to risk, how-ever, is becoming more important and useful for several reasons that are discussed

    below.

    Why Risk?

    In the context of this chapter and this book, risk refers to risk of adverse health

    effects, primarily cancer, to humans from exposure to radioactive materials in the

    environment. Unfortunately, in radiological assessment, people are exposed not only

    to radioactive materials but also to chemicals. By using risk as an end point for thecalculation in radiological assessment, one can compare the effects of radioactive

    materials with chemicals that may be present. Risk is the most fundamental common

    denominator in an assessment that can be estimated to help people understand cur-

    rent and prospective effects on humans and the environment from both radioactive

    materials and chemicals. If people have a better understanding of the risk imposed

    from exposure to these materials, it gives them a starting point for making decisions

    about potential cleanup or remediation.

    There are other reasons to estimate risk in radiological assessment. The termrisk is becoming more common in our language today. Medications are often

    described as having a risk of side effects. We discuss the risk posed by potential bad

    weather. Farmers refer to the risk of investing in an expensive crop. Of course, the

    type of risk referred to in this book could be described as a chance of harm from

    being exposed to radioactive materials in the environment. More specifically, risk

    is quantified in radiological assessment as a risk of the incidence of, or dying from,

    cancer following exposure.

    Risk Coefficients

    As with conversion of intake or external exposure to dose, conversion of dose to risk

    is a straightforward process involving risk factors published by a number of different

    groups (UNSCEAR 2000). The current risk estimates of cancer following exposure

    to ionizing radiation are based primarily upon analyses of Japanese survivors of

    the atomic bombings at Hiroshima and Nagasaki. These risk estimates essentially

    relate to uniform whole-body exposures to predominantly low linear energy transfer

    radiation doses ranging from 0.01 Gy to 4 Gy delivered at high dose rate.

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    The Radiological Assessment Process 15

    Risk coefficients and dose coefficients are similar with regard to our lack of

    understanding about the uncertainties associated with them. Typically, risk coeffi-

    cients are applied with a single, deterministic value. We know that such a value is

    not valid and that the range of uncertainty associated with risk coefficients oftenmay be quite large. Little work has been done to try to quantify this uncertainty,

    although scientists are working to quantify uncertainties in risk coefficients and to

    apply these uncertainties in their results.

    Uncertainty in the risk factors for radiation was described by Sinclair (1993)

    and investigated more thoroughly by Grogan et al. (2001) as having five primary

    components:

    Epidemiological uncertainties Dosimetric uncertainties

    Projection to lifetime

    Transfer between populations

    Extrapolation to low dose and dose rate

    Epidemiological uncertainties include statistical uncertainties associated with quan-

    tifying the relatively small number of excess cancers attributable to ionizing

    radiation from the background cancers resulting from all causes. Also included

    in epidemiological uncertainties are uncertainties from underreporting of cancers

    per unit population and nonrepresentativeness of populations used to determine

    risk. Dosimetric uncertainties include those from random errors in individual dose

    estimates arising from errors in the input parameters used to compute doses, and

    systematic errors due to the presence of more thermal neutrons at Hiroshima than

    originally estimated. Risk projection includes uncertainties associated with extrap-

    olating beyond the time period covered by the observed population. Transfer of

    estimates of risk from one population (Japanese) to another introduces an additional

    source of uncertainty that must be considered. Finally, since the exposures for theA-bomb population were at relatively high dose rate, uncertainty is introduced when

    we extrapolate estimates of risk to low-dose, low-dose-rate situations common in

    most risk assessments. This area of risk assessment research is very important for

    the future, and the ideas introduced by Sinclair (1993) must be pursued. Indeed, we

    may find that the risk factors themselves introduce more uncertainty into the overall

    estimate of risk than does any other single component.

    Uncertainty Analysis

    Uncertainty has been mentioned frequently up to this point, but it has not been

    explained or tied to the other components of radiological assessment. Uncertainty is

    covered in chapter 11, contributed by Thomas Kirchner. Uncertainty analysis is an

    essential element of risk assessment. Of all the steps in radiological assessment, this

    is the area where the greatest progress has been made over the past three decades.

    This success has been partly due to advances in techniques that are used to propagate

    uncertainties in calculations, but it is mainly due to the rapid improvements in

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    16 Radiological Risk Assessment and Environmental Analysis

    computer technology. Today, uncertainties can be readily estimated with off-the-

    shelf software and laptop computers. This success was not imaginable even a decade

    ago.

    Methods for quantification of uncertainty have been well established. Today, itis expected that when one carries out a risk assessment, the best estimate of risk is

    reported along with associated uncertainties.

    The most common method for uncertainty analysis uses Monte Carlo statistical

    techniques incorporating a random sampling of distributions of the various models

    and parameters involved (see figure 1.4). In this simplified illustration, Ais an input

    Parametic Uncertainty Analysisof Mathematical Models

    Deterministic Application

    A(Parameter)

    Y(Result)

    Stochastic (Monte Carlo) Application

    Distribution of A Distribution of Y

    Sample randomly from A...

    Apply themodel to

    eachrandomvalue...

    A1

    Y1

    Y2

    Y3

    Y4

    YN

    A2

    A3

    A4

    AN

    Assemblethe results...

    Model

    ConstructY

    Model

    Model

    Model

    Model

    Model

    Figure 1.4 Schematic presentation of Monte Carlo methods for propagating a parametric

    uncertainty distribution through a model to its results.

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    The Radiological Assessment Process 17

    parameter to the model, andYis the result, or output, corresponding toA. For each

    specific value ofA, the model produces a unique outputY. Such an application of

    the model is deterministic because A determinesY. ButA may not be known with

    certainty. If uncertainty aboutA is represented by a distribution, such as the triangularone in the figure, repeatedly sampling the distribution at random and applying the

    model to each of the sample input valuesA1,A2 . . . gives a set of outputsY1,Y2, . . .,

    which can be arranged into a distribution for Y. The distribution ofY is then the

    estimate of the uncertainty inYthat is attributable to the uncertainty inA. This is a

    stochastic, or probabilistic, application of the model.

    Proposed distributions may be based on measurements or on scientific judgment

    when data are not available. Site-specific data are used when such measurements

    exist for relevant times, locations, and processes, but often surrogate data basedon other times or locations must be used. The most difficult aspect of uncertainty

    analysis is the selection of parameters and distributions to be used in the analysis.

    Use of Uncertainty for Determining Compliance with Standards

    Little attention has been given to how uncertainties might be considered when radi-

    ological assessment was being used to determine compliance with environmental

    regulations. Until recently, deterministic calculations were used as the comparison

    value without regard to the uncertainties associated with them. ICRP (2007) clarifies

    this matter for exposures to the public in prospective situations.

    The difficulty in applying uncertainties in determining compliance with a stan-

    dard arises from the fact that, in almost all cases, some members of the population

    exposed will exceed the dose benchmark (e.g., 50th percentile, 95th percentile) that

    is used as the basis for comparison. The number of people who exceed the criterion

    for comparison and the level of dose they may receive are important to consider. As

    a result, ICRP (2007) recommends the following:

    In a prospective probabilistic assessment of dose to individuals, whether from a planned

    facility or an existing situation, the ICRP recommendsthat the representative individual

    be defined such that the probability is less than about 5% that a person drawn at random

    from the population will receive a greater dose. In a large population, many individuals

    will have doses greater than that of the representative individual, because of the nature

    of distributions in probabilistic assessments. This need not be an issue if the doses are

    less than the relevant dose constraint. However, if such an assessment indicates that

    a few tens of persons or more could receive doses above the relevant constraint, then

    the characteristics of these people need to be explored. If, following further analysis,it is shown that doses to a few tens of persons are indeed likely to exceed the relevant

    dose constraint, actions to modify the exposure should be considered.

    This recommendation by the ICRP illustrates some of the problems that will be

    encountered as uncertainties are accounted for in future radiological assessments.

    Other difficult issues will be encountered, as well. These include the acceptance and

    understanding of uncertainty by the public and the misuse of uncertainty to argue

    the presence of an upper bound (e.g., 99th percentile) dose or risk to an individual as

    being the basis for a legal decision. Regardless of the difficulties introduced when

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    18 Radiological Risk Assessment and Environmental Analysis

    uncertainties are accounted for in radiological assessment, the benefits far outweigh

    the problems, and the result is a more realistic understanding of dose and risk.

    Validation

    The term validation is used here to mean efforts taken to verify the estimates

    made in radiological assessment. Since direct measurements of dose to people

    exposed cannot be readily taken, validation typically involves comparing pre-

    dicted concentrations in the environment with measurement data. Validation in

    radiological assessment is discussed in chapter 14, contributed by my co-editor,

    Helen Gro