ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
September 2026
Nuclear Technology
Fusion Science and Technology
August 2026
Latest News
Knoxville’s nuclear workshop opens with a full house and a long to-do list
The East Tennessee Economic Council’s Nuclear Opportunities Workshop opened yesterday morning at the Knoxville Convention Center, drawing registrants from around the country, and will close later today following a packed lineup of policy and industry leaders.
T.F. Kempe, S.B. Russell, K.J. Donnelly, H.J. Reilly
Fusion Science and Technology | Volume 8 | Number 2 | September 1985 | Pages 2575-2581
Environmental Study | Proceedings of the Second National Topical Meeting on Tritium Technology in Fission, Fusion and Isotopic Applications (Dayton, Ohio, April 30 to May 2, 1985) | doi.org/10.13182/FST85-A24667
Articles are hosted by Taylor and Francis Online.
Computer codes for modelling the dispersion and transfer of tritium released to the atmosphere were compared. The codesa originated from Canada, the United States, Sweden and Japan. The comparisons include acute and chronic emissions of tritiated water vapour or elemental tritium from a hypothetical nuclear facility. Individual and collective doses to the population within 100 km of the site were calculated. The discrepancies among the code predictions were about one order of magnitude for the HTO emissions but were significantly more varied for the HT emissions. Codes that did not account for HT to HTO conversion and cycling of tritium in the environment predicted doses that were several orders of magnitude less than codes that incorporate this feature into the model.