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ACRONYMS AND ABBREVIATIONS

To ensure a more reader-friendly document, the U.S. Department of Energy (DOE) limited the use of acronyms and abbreviations in this environmental impact statement. In addition, acronyms and abbreviations are defined the first time they are used in each chapter or appendix. The acronyms and abbreviations used in the text of this document are listed below. Acronyms and abbreviations used in tables and figures because of space limitations are listed in footnotes to the tables and figures.

CFR Code of Federal Regulations
DOE U.S. Department of Energy (also called the Department)
EIS environmental impact statement
EPA U.S. Environmental Protection Agency
FR Federal Register
LCF latent cancer fatality
MTHM metric tons of heavy metal
NEPA National Environmental Policy Act, as amended
NRC U.S. Nuclear Regulatory Commission
NWPA Nuclear Waste Policy Act, as amended
PM10 particulate matter with an aerodynamic diameter of 10 micrometers or less
PM2.5 particulate matter with an aerodynamic diameter of 2.5 micrometers or less
REMI Regional Economic Models, Inc.
RMEI reasonably maximally exposed individual
Stat. United States Statutes
TSPA Total System Performance Assessment
U.S.C. United States Code

 

UNDERSTANDING SCIENTIFIC NOTATION

DOE has used scientific notation in this EIS to express numbers that are so large or so small that they can be difficult to read or write. Scientific notation is based on the use of positive and negative powers of 10. The number written in scientific notation is expressed as the product of a number between 1 and 10 and a positive or negative power of 10. Examples include the following:

Positive Powers of 10 Negative Powers of 10
101 = 10 × 1 = 10 10-1 = 1/10 = 0.1
102 = 10 × 10 = 100 10-2 = 1/100 = 0.01
and so on, therefore, and so on, therefore,
106 = 1,000,000 (or 1 million) 10-6 = 0.000001 (or 1 in 1 million)

Probability is expressed as a number between 0 and 1 (0 to 100 percent likelihood of the occurrence of an event). The notation 3 × 10-6 can be read 0.000003, which means that there are three chances in 1,000,000 that the associated result (for example, a fatal cancer) will occur in the period covered by the analysis.

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