Estimating nuclear proliferation and security risks in emerging markets using Bayesian Belief Networks

被引:13
|
作者
Carless, Travis S. [1 ]
Redus, Kenneth [2 ]
Dryden, Rachel [3 ]
机构
[1] Brattle Grp, One Beacon St, Boston, MA 02108 USA
[2] Redus & Associates LLC, Oak Ridge, TN 37830 USA
[3] RAND Corp, 4570 Fifth Ave 600, Pittsburgh, PA 15213 USA
基金
美国安德鲁·梅隆基金会;
关键词
Nuclear proliferation and security; Nuclear energy; Expert elicitation; Bayesian belief networks; EXPERT ELICITATION; MENTAL MODELS; WEAPONS; METHODOLOGY; CHALLENGES; MANAGEMENT;
D O I
10.1016/j.enpol.2021.112549
中图分类号
F [经济];
学科分类号
02 ;
摘要
An estimated 28 countries are interested in introducing nuclear power into their electric grid mix. The sudden influx of new nuclear power plants into emerging nuclear energy countries can present further nuclear proliferation and security risks. These risks can be even more prevalent for nations with political instability and limited resources to adequately support a robust nuclear regulatory infrastructure. This paper estimates the nuclear proliferation and security risks associated with the deployment of Generation III + nuclear power plants and Small Modular Reactors to emerging nuclear energy countries using expert judgment in conjunction with Bayesian Belief Networks. On average, Turkey is the most likely to divert nuclear material to develop a nuclear weapon (46% with an rsd of 0.50), divert civilian nuclear knowledge and technology for military use (38% with an rsd of 0.61), and to have their nuclear material stolen by non-state actors (39% with an rsd of 0.65). This is followed by Saudi Arabia at 38% (0.66 rsd), 39% (0.64 rsd), 32% (0.83 rsd), respectively. Reactor type has minimal impact on risk, while nations that pursue domestic enrichment and reprocessing has the greatest impact. In scenarios where emerging nuclear energy countries pursue domestic enrichment and reprocessing, the nuclear proliferation and security risks increase between 16% and 18%, on average. Lower-risk countries that engage in domestic enrichment and reprocessing can have comparable nuclear proliferation and security risks as Turkey and Saudi Arabia.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Trust-based security level evaluation using Bayesian belief networks
    Houmb S.H.
    Ray I.
    Ray I.
    Chakraborty S.
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2010, 6340 (PART 1): : 154 - 186
  • [2] Evaluation of Control Strategies for Managing Supply Chain Risks using Bayesian Belief Networks
    Qazi, Abroon
    Quigley, John
    Dickson, Alex
    Gaudenzi, Barbara
    Ekici, Sule Onsel
    2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM), 2015, : 1146 - 1154
  • [3] Using Bayesian belief networks in adaptive management
    Nyberg, J. Brian
    Marcot, Bruce G.
    Sulyma, Randy
    CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE, 2006, 36 (12): : 3104 - 3116
  • [4] Establishing Pattern Sequences Using Stochastic Trees and Bayesian Belief Networks With an Application to Security Patterns
    Matovic, Viktor
    Vranic, Valentino
    IEEE ACCESS, 2025, 13 : 32443 - 32457
  • [5] Using Prediction Markets to Hedge Information Security Risks
    Pandey, Pankaj
    Snekkenes, Einar Arthur
    SECURITY AND TRUST MANAGEMENT (STM 2014), 2014, 8743 : 129 - 145
  • [6] Estimating expected value of information using Bayesian belief networks: A case study in fish consumption advisory
    Gradowska P.L.
    Cooke R.M.
    Environment Systems and Decisions, 2014, 34 (1) : 88 - 97
  • [7] Using prediction markets to hedge information security risks
    Pandey, Pankaj (pankaj.pandey2@hig.no), 1600, Springer Verlag (8743):
  • [8] Continuous process improvement using Bayesian Belief Networks
    Lewis, NDC
    COMPUTERS & INDUSTRIAL ENGINEERING, 1999, 37 (1-2) : 449 - 452
  • [9] Software quality classification using Bayesian belief networks
    Khoshgoftaar, Taghi M.
    Dong, Yuhong
    Szabo, Robert M.
    ELEVENTH ISSAT INTERNATIONAL CONFERENCE RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS, 2005, : 106 - 110
  • [10] Belief update in Bayesian networks using uncertain evidence
    Pan, Rong
    Peng, Yun
    Ding, Zhongli
    ICTAI-2006: EIGHTEENTH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, : 441 - +