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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Ho Nieh nominated to the NRC
Nieh
President Trump recently nominated Ho Nieh for the role of commissioner in the Nuclear Regulatory Commission through the remainder of a term that will expire June 30, 2029.
Nieh has been the vice president of regulatory affairs at Southern Nuclear since 2021, though he is currently working as a loaned executive at the Institute of Nuclear Power Operations, where he has been for more than a year.
Nieh’s experience: Nieh started his career at the Knolls Atomic Power Laboratory, where he worked primarily as a nuclear plant engineer and contributed as a civilian instructor in the U.S. Navy’s Nuclear Power Program.
From there, he joined the NRC in 1997 as a project engineer. In more than 19 years of service at the organization, he served in a variety of key leadership roles, including division director of Reactor Projects, division director of Inspection and Regional Support, and director of the Office of Nuclear Reactor Regulation.
Sunil D. Weerakkody, Warren F. Witzig
Nuclear Technology | Volume 78 | Number 1 | July 1987 | Pages 43-53
Technical Paper | Nuclear Safety | doi.org/10.13182/NT87-A34007
Articles are hosted by Taylor and Francis Online.
A statistical decision theory provides a rational theoretical model that enables an algorithm to select appropriate off-site protective actions. Existing knowledge on safety system and containment event trees, the spectrum of release states, and statistical decision theory were used to develop a model that accommodates actual and potential radiation risks and nonradiological risks such as risks of evacuation in selecting off-site protective actions. The usefulness of the model developed is illustrated by applying it to the Three Mile Island Unit 2 (TMI-2) scenario and comparing the actual decisions made with the decisions provided by the model. Conclusions drawn by modeling the TMI-2 related data are in general agreement with off-site protective actions taken. Finally, the model is used to illustrate the extremely low likelihood of the occurrence of accident scenarios that require evacuations beyond a 3.2-km radius and to support a plume exposure pathway emergency planning zone of 3.2 to 8 km for reduced source terms.