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
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
May 2026
Latest News
North American construction is back—smaller and faster—at OPG’s Darlington
“The nuclear renaissance is real here,” said Ontario Power Generation’s Subo Sinnathamby on May 8, one year to the day after OPG secured a final investment decision to build the first of four planned BWRX-300 reactors at its Darlington nuclear power plant, and shortly after the new reactor’s foundation was lifted into place. “We got our license to construct in April and our [final investment decision] in May, and we’ve been off to the races since.”
Dan Galeriu, Philip Davis, Sohan Chouhan, Wolfgang Raskob
Fusion Science and Technology | Volume 28 | Number 3 | October 1995 | Pages 853-858
Tritium Safety | Proceedings of the Fifth Topical Meeting on Tritium Technology in Fission, Fusion, and Isotopic Applications Belgirate, Italy May 28-June 3, 1995 | doi.org/10.13182/FST95-A30511
Articles are hosted by Taylor and Francis Online.
Computer models are used for predicting the impact of tritium releases. Their reliability, when experimental data are limited, can be judged from benchmark tests and uncertainty analysis. First results of a parameter uncertainty and sensibility analysis are presented for the environmental tritium code UFOTRI. The uncertainty range is shown to be less than one order of magnitude. The bulk of the variance is contributed by leaf area index, minimum stomatal resistance, dry and wet yield and initial soil moisture. Improvements in model assumptions are suggested.