Guidance for Conducting Risk Assessments and Related Risk ...

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8. RISK ASSESSMENT INFORMATION SYSTEM In order to provide a ready source of information needed to complete environmental risk assessments for the Department of Energy, Oak Ridge Operations (DOE-ORO), the DOE Center for Risk Excellence (CRE) and the DOE-ORO sponsor a web-based system that contains risk tools and other information. This system, the Risk Assessment Information System (RAIS), was developed to support site-specific needs of the former DOE-ORO Environmental Restoration Risk Assessment Program. With support from the CRE, the system is being expanded and reconfigured to benefit all DOE risk information users and the risk community. With searchable and executable databases, menu-driven queries, and data downloads, the RAIS offers essential tools that are used in the risk assessment process from project scoping to implementation. A training course for the RAIS will be held late summer 1999. The RAIS may be found at http://risk.lsd.ornl.gov/. 36
Spatial Anaysis and Decision Assistnace (SADA) software was designed to simplify and streamline the environmental characterization process and to integrate the information in order to facilitate decisions about a particular site in a quick and cost-effective manner. SADA was funded by the DOE and developed by the University of Tennessee in collaboration with the Oak Ridge National Laboratory. To obtain more information about SADA and its upcoming training course or to download a free version of the software, go to http://www.sis.utk.edu/cis/sada/. 37
Page 1 and 2: BJC/OR-271 Guidance for Conducting
Page 3 and 4: Guidance for Conducting Risk Assess
Page 5 and 6: 5.1 COMPARISON TO RISK-BASED PRELIM
Page 7 and 8: ACRONYMS ARARs Applicable or Releva
Page 9 and 10: 1. INTRODUCTION The U.S. Department
Page 11 and 12: Risk assessments and related risk a
Page 13 and 14: Section 4: A more detailed discussi
Page 15 and 16: Table 1. Applicable regulatory and
Page 17 and 18: Paducah Gaseous Diffusion Plant: Th
Page 19 and 20: Site Evaluation Remedial Investigat
Page 21 and 22: Removal Site Evaluation Removal Act
Page 23 and 24: The results of these risk analyses
Page 25 and 26: 3. OTHER ENVIRONMENTAL MANAGEMENT A
Page 27 and 28: 3.3 TECHNOLOGY DEVELOPMENT AND DEMO
Page 29 and 30: 4.1 DATA EVALUATION The first step
Page 31 and 32: S. Department of Energy Oak Ridge Y
Page 33 and 34: End Use Category Table 6. End Use W
Page 35 and 36: database incorporates information n
Page 37 and 38: Scenarios of Concern. Total noncarc
Page 39 and 40: The guidelines in this document dic
Page 41 and 42: 6. BASELINE HUMAN HEALTH RISK ASSES
Page 43: Note: Remedial Goal Options (RGOs)
Page 47 and 48: EPA. 1991d. Appendix D of RAGS, Vol
Page 49 and 50: APPENDIX A RISK ASSESSMENT TECHNICA
Page 51 and 52: ES/ER/TM-28 The Use of Institutiona
Page 53 and 54: spatially homogeneous, factors to a
Page 55 and 56: ES/ER/TM-33/R2 by providing more sp
Page 57 and 58: K/ER-153/R1 Baseline Risk Assessmen
Page 59 and 60: Sections B.1 through B.5 provided i
Page 61 and 62: evaluated by comparison to the repo
Page 63 and 64: slope factor for 234 Th ( 234 Th do
Page 65 and 66: emaining analyses (since it had a l
Page 67 and 68: Analytes for which the maximum dete
Page 69 and 70: This guidance directs the user thro
Page 71 and 72: where: x = arithmetic mean of the b
Page 73 and 74: APPENDIX D GUIDE FOR AIR DISPERSION
Page 75 and 76: D.2 LAND USE—EXPOSURE SCENARIOS E
Page 77 and 78: Source Solidification/ Stabilizatio
Page 79 and 80: a certain depth of space. Two basic
Page 81 and 82: preclude the use of techniques for
Page 83 and 84: Technology-specific emission rates
Page 85 and 86: D-14 APPLICATION: Type Table D.4. S
Page 87 and 88: D-16 METEOROLOGY: RASCAL MILDOS- AR
Page 89 and 90: D.4.1.1 Screening-level codes D.4.1
Page 91 and 92: strongly recommended that external
Page 93 and 94: The primary difference between the
Page 95 and 96:
1. source term 2. overland pathway
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Briggs, Klug, Brookhaven, St. Louis
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D-28 Table D.5. Atmospheric transpo
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D-30 Attributes CD M Table D.5. (co
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Only portions of the source area th
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D.4.2.2.3 CTDMPLUS The Complex Terr
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D.5. PARAMETERS The major input dat
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D.5.1.1.1 Wind directions In the va
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Table D.7. Meteorological data avai
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The EPA (1988) provides guidance on
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Input CAP88- PC Leafy Vegetables (K
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D.8. REFERENCES ANL (Argonne Nation
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Thibodeaux, L. J. 1989. Theoretical
Page 121 and 122:
Table D.10. Baseline emission rate
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Table D.11. Remedial technologies t
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Table D.14. VOC emission rates for
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Title EPA and NTIS No. Date Estimat
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E.1 INTRODUCTION As one of the prim
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emedial decisions. Establishing a r
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Table E.2. Purpose of model selecti
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eview information from other simila
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its associated uncertainty, the tea
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E.4 REFERENCES Droppo, J. G., J. W.
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F.1 INTRODUCTION Human health risks
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F.2 PLANT MODELS For a complete ana
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Table F.1. (continued) Parameter De
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subsequently deposited on plant sur
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a major concern. F.2.1.2 Plant upta
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F.3 ANIMAL MODELS F.3.1 General Mod
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Table F.2. Recommended default valu
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f p = faction of the year the anima
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closely match the plant types of in
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consumption to a dry-weight basis b
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fat content of a cow (25%) and mult
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pasture, and dairy cattle obtain 60
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4.2.8 Fraction of daily water intak
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Hoffman, F. O., U. Bergstrom, C. Gy
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Peterson, H. T. ,. Jr.. 1983. Terre
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G.1. INTRODUCTION Calculation of th
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G.2.1 Soil Determining the size of
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Site Concentration 50 40 30 20 10 0
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Frequency Frequency Frequency 12000
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Stream G-11 Park Lake or River Figu
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More likely, contamination of sedim
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G.2.3 Groundwater The determination
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uncertainty analysis. G.2.4 Surface
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Figure G.12. ORNL groundwater risk
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G.2.4.1 Recommendations After selec
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G.3.2 Traditional Approach The firs
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G.3.3 Division of Data and the Bonf
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of giving smaller weights to areas
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Figure G.16. Variography of the exa
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5 Figure G.17. Kriged map of contam
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Northing 150 125 100 75 50 25 10 20
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concluded that the DL/2 method was
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The simulation presented in Sect. G
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By defining contamination boundarie
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Gilbert, R. 1987. Statistical Metho
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H.1. INTRODUCTION The quantitative
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(Andelman 1990) K p permeability co
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only (yr) 6 (child) (EPA 1991a) EF
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Table H.1. Uncertain parameters and
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values. These values are used in th
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Table H.4. Results of the uncertain
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and 12%, respectively) on the predi
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parameters that pertains to the adu
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While this methodology could be app
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EPA. 1991a. Risk Assessment Guidanc
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The first step in performing the in
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