Optimizing material selection and the thickness of radon reduction layer in uranium tailings pond

In this paper, a multi-objective decision model is formulated utilizing both single-layer and three-layer radon reduction layer materials by considering radon emanation rate and cost as decision objectives. Through a multi-objective non-dominated ranking method, the optimal solution is identified fr...

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Vydáno v:Journal of radioanalytical and nuclear chemistry Ročník 333; číslo 1; s. 205 - 213
Hlavní autoři: Deng, Nianbiao, Ding, Dexin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.01.2024
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ISSN:0236-5731, 1588-2780
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Abstract In this paper, a multi-objective decision model is formulated utilizing both single-layer and three-layer radon reduction layer materials by considering radon emanation rate and cost as decision objectives. Through a multi-objective non-dominated ranking method, the optimal solution is identified from a range of feasible alternatives. In the case of the example uranium tailings pond, the optimized three-layer radon reduction layer materials reduce the comprehensive cost by 47.8% compared with the single-layer radon reduction layer materials while meeting the radon emanation rate limit. Furthermore, the utilization of non-dominated multi-objective optimization techniques demonstrates higher efficiency in optimizing each radon reduction layer schemes.
AbstractList In this paper, a multi-objective decision model is formulated utilizing both single-layer and three-layer radon reduction layer materials by considering radon emanation rate and cost as decision objectives. Through a multi-objective non-dominated ranking method, the optimal solution is identified from a range of feasible alternatives. In the case of the example uranium tailings pond, the optimized three-layer radon reduction layer materials reduce the comprehensive cost by 47.8% compared with the single-layer radon reduction layer materials while meeting the radon emanation rate limit. Furthermore, the utilization of non-dominated multi-objective optimization techniques demonstrates higher efficiency in optimizing each radon reduction layer schemes.
Audience Academic
Author Ding, Dexin
Deng, Nianbiao
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  surname: Ding
  fullname: Ding, Dexin
  email: dingdxzzz@163.com
  organization: School of Resource Environment and Safety Engineering, University of South China
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Cites_doi 10.1016/j.jenvrad.2014.09.019
10.1109/MCI.2017.2742868
10.1162/evco.1994.2.3.221
10.1007/s12665-015-4475-7
10.1007/978-3-319-11059-2_56
10.36487/ACG_rep/1352_10_Barnekow
10.2172/6004618
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COPYRIGHT 2024 Springer
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Issue 1
Keywords Non-dominated multi-objective optimization method
Radon emanation rate
Radon reduction layer material
Uranium tailings pond
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PublicationSubtitle An International Journal Dealing with All Aspects and Applications of Nuclear Chemistry
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– reference: WagnerFJungHHimmelsbachTImpact of uranium mill tailings on water resources in Mailuu Suu2015KyrgyzstanSpringer International Publishing10.1007/978-3-319-11059-2_56
– reference: DaiJYWangMZouSLHybrid intelligent optimal selection research of cover materials in uranium tailing pileAtomic Energy Sci Technol20165007132913351:CAS:528:DC%2BB3cXhslSgtbnK
– reference: Barnekow U, Paul M (2013) .Fifteen years of design, construction and monitoring of soil covers on Wismut's uranium mining legacy sites—a synopsis. Mine Closure
– reference: BanGGDaiJYSimulation study of clay layer coverage governance of uranium tailings pileInd Safety Environ Protect201945018386
– reference: Wang M (2016) Hybrid intelligent optimal control research of radioactive contaminants in uranium tailings pile. University of South China (Master thesis)
– reference: YanXLuoXGRadionuclides distribution, properties, and microbial diversity of soils in uranium mill tailings from southeastern ChinaJ Environ Radioact201513985901:CAS:528:DC%2BC2cXhslKlsr7L10.1016/j.jenvrad.2014.09.01925464044
– reference: PanigrahiDCMishraDPSahuPEvaluation of inhalation exposure contributed by backfill mill tailings in underground uranium mineEnviron Earth Sci2015745432743341:CAS:528:DC%2BC2MXotlCkurs%3D10.1007/s12665-015-4475-7
– reference: Rogers VC, Nielson KK, Merrell GB (1989) Radon generation, adsorption, absorption, and transport in porous media. Rogers and Associates Engineering Corporation
– reference: SrinivasNDebKMultiobjective optimization using nondominated sorting in genetic algorithmsEvolut Comput19942322124810.1162/evco.1994.2.3.221
– reference: WangZZEnvironmental management of uranium tailings pond decommissioningUranium Min Metall20032229599
– reference: WangLPFengMLQiuQCSurvey on preference-based multi-objective evolutionary algorithmsChin J Comput201942612891315
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– reference: DingSZConstruction project construction managementChina Construct Ind Press Beijing2015201539127
– reference: ZhangHXuLCLiXJComparison on radon suppression effects of covering tests between waste rock heap and tailing pondsRadiat Protect20175387392
– reference: TianYChengRZhangXYPlatEMO: A MATLAB platform for evolutionary multi-objective optimizationIEEE Comput Intell Mag2017124738710.1109/MCI.2017.2742868
– reference: XieTFLiJLWangLParameter optimization of clay for radon attenuation covered on uranium tailingsRadiat Protect20133304243248
– reference: The National Standards Compilation Group of Peoples Republic of ChinaGB/T 23727–2020 Regulations for radiation protection and radiation environment protection in uranium mining and milling2020BeijingChina Planning Press
– reference: Anon (1992) Measurement and calculation of radon releases from uranium mill tailings. Technical reports series No. 333. Vienna:IAEA
– reference: Yan X (2015) Migration and distribution of radionuclide in uranium tailing soil and the effects of radionuclide on soil microbial diversity. Northeast Forestry University (Doctoral thesis)
– reference: ZhouHJFengSCement price outlook in 2017Eng Cost Manag2017201729194
– reference: ZhouCCYinFGHuXBMulti-objective optimization decision-making of material selection oriented to green designComput Integrat Manuf Syst200820080510231035
– reference: LiXTOptimization Analysis for cover thickness of uranium tailings impoundment (2001)Uranium Min Metall20010128341:CAS:528:DC%2BD38Xitlersbo%3D
– reference: Gao Y (2006) Non-dominated sorting genetic algorithm and its applications. Zhejiang University (Doctoral thesis)
– reference: Wang HT (2008) Dynamics of fluid flow and contaminant transport in porous media. Higher Education Pres. Beijing
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  publication-title: Uranium Min Metall
– volume: 2015
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– volume: 45
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  publication-title: Uranium Min Metall
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  publication-title: Comput Integrat Manuf Syst
– ident: 9244_CR17
  doi: 10.36487/ACG_rep/1352_10_Barnekow
– ident: 9244_CR16
  doi: 10.2172/6004618
– ident: 9244_CR3
– ident: 9244_CR5
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Snippet In this paper, a multi-objective decision model is formulated utilizing both single-layer and three-layer radon reduction layer materials by considering radon...
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SubjectTerms Analysis
Chemistry
Chemistry and Materials Science
Diagnostic Radiology
Emission
Environmental impact
Genetic algorithms
Hadrons
Heavy Ions
Inorganic Chemistry
Materials selection
Mathematical optimization
Methods
Multiple objective analysis
Nuclear Chemistry
Nuclear energy
Nuclear Physics
Optimization
Physical Chemistry
Pollutants
Ponds
Radon
Rankings
Tailings
Thickness
Uranium
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Title Optimizing material selection and the thickness of radon reduction layer in uranium tailings pond
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