{"title":"A simple method for the evaluation of the uncertainty in the predictions of a Lagrangian marine radionuclide transport model","authors":"Raúl Periáñez","doi":"10.1016/j.net.2025.103917","DOIUrl":null,"url":null,"abstract":"<div><div>A method is proposed to assign an error bar to the concentrations predicted in water and seabed sediments by a Lagrangian radionuclide transport model for the marine environment. The method is based upon an analogy with radioactive counting statistics in a radiation detector, due to the stochastic nature of radioactive decay and turbulent mixing. However, it cannot be used to assess deterministic errors of the models, as those related to model parameters for instance. The method has been illustrated with a transport model of the northern Atlantic Ocean, previously tested by comparing model outputs with radionuclide measurements, released from European nuclear fuel reprocessing plants, in water and sediments at different locations and times. Time-series of calculated radionuclide concentrations in water and sediments at several locations, with the corresponding error bars, are provided as examples of the application of the method. In addition, some spatial distributions of errors are also shown. The methodology is simple, seems to be robust and can also be used to evaluate the number of particles required in a Lagrangian simulation to have a given precision level in the results.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"58 1","pages":"Article 103917"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Engineering and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1738573325004851","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
A method is proposed to assign an error bar to the concentrations predicted in water and seabed sediments by a Lagrangian radionuclide transport model for the marine environment. The method is based upon an analogy with radioactive counting statistics in a radiation detector, due to the stochastic nature of radioactive decay and turbulent mixing. However, it cannot be used to assess deterministic errors of the models, as those related to model parameters for instance. The method has been illustrated with a transport model of the northern Atlantic Ocean, previously tested by comparing model outputs with radionuclide measurements, released from European nuclear fuel reprocessing plants, in water and sediments at different locations and times. Time-series of calculated radionuclide concentrations in water and sediments at several locations, with the corresponding error bars, are provided as examples of the application of the method. In addition, some spatial distributions of errors are also shown. The methodology is simple, seems to be robust and can also be used to evaluate the number of particles required in a Lagrangian simulation to have a given precision level in the results.
期刊介绍:
Nuclear Engineering and Technology (NET), an international journal of the Korean Nuclear Society (KNS), publishes peer-reviewed papers on original research, ideas and developments in all areas of the field of nuclear science and technology. NET bimonthly publishes original articles, reviews, and technical notes. The journal is listed in the Science Citation Index Expanded (SCIE) of Thomson Reuters.
NET covers all fields for peaceful utilization of nuclear energy and radiation as follows:
1) Reactor Physics
2) Thermal Hydraulics
3) Nuclear Safety
4) Nuclear I&C
5) Nuclear Physics, Fusion, and Laser Technology
6) Nuclear Fuel Cycle and Radioactive Waste Management
7) Nuclear Fuel and Reactor Materials
8) Radiation Application
9) Radiation Protection
10) Nuclear Structural Analysis and Plant Management & Maintenance
11) Nuclear Policy, Economics, and Human Resource Development