{"title":"考虑扰动效应的放射性废物处理的吸附参数设置方法:有机物的吸附还原因子","authors":"Y. Tachi, M. Ochs","doi":"10.15669/PNST.5.229","DOIUrl":null,"url":null,"abstract":"Various types of post-accident radioactive waste have been generated from cleanup and decommissioning activities at the Fukushima Daiichi nuclear power plant. Perturbation effects resulting from co-existing substances may influence radionuclide sorption. For the disposal of these wastes, perturbation effects on sorption parameters must be critically evaluated for the safety assessment of the disposal systems. The present study focuses on developing a methodology to quantify sorption parameters in the presence of such perturbation effects and on illustrating example calculations regarding sorption reduction factors (SRFs) due to the presence of organic ligands (ISA; isosaccharinic acid) for cement systems. Three approaches for the derivation of SRFs; 1) semi-quantitative estimation based on analogy with solubility enhancement factors (SEFs) derived from measured solubility, 2) prediction based on radionuclide speciation calculation, and 3) quantification from experimental sorption data in ternary systems were coupled and tested for the Am-ISA-cement system. Our approach allows to critically evaluate the dependence of sorption reduction factors for various perturbed systems on the chosen method of quantification, in accordance with the data availability for a given perturbation.","PeriodicalId":20706,"journal":{"name":"Progress in Nuclear Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Sorption parameter setting approaches for radioactive waste disposal considering perturbation effects: sorption reduction factors for organics\",\"authors\":\"Y. Tachi, M. Ochs\",\"doi\":\"10.15669/PNST.5.229\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various types of post-accident radioactive waste have been generated from cleanup and decommissioning activities at the Fukushima Daiichi nuclear power plant. Perturbation effects resulting from co-existing substances may influence radionuclide sorption. For the disposal of these wastes, perturbation effects on sorption parameters must be critically evaluated for the safety assessment of the disposal systems. The present study focuses on developing a methodology to quantify sorption parameters in the presence of such perturbation effects and on illustrating example calculations regarding sorption reduction factors (SRFs) due to the presence of organic ligands (ISA; isosaccharinic acid) for cement systems. Three approaches for the derivation of SRFs; 1) semi-quantitative estimation based on analogy with solubility enhancement factors (SEFs) derived from measured solubility, 2) prediction based on radionuclide speciation calculation, and 3) quantification from experimental sorption data in ternary systems were coupled and tested for the Am-ISA-cement system. Our approach allows to critically evaluate the dependence of sorption reduction factors for various perturbed systems on the chosen method of quantification, in accordance with the data availability for a given perturbation.\",\"PeriodicalId\":20706,\"journal\":{\"name\":\"Progress in Nuclear Science and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Nuclear Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15669/PNST.5.229\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Nuclear Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15669/PNST.5.229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
福岛第一核电站的清理和退役活动产生了各种类型的事故后放射性废物。共存物质引起的扰动效应可能影响放射性核素的吸收。对于这些废物的处置,必须严格评估摄动对吸附参数的影响,以便对处置系统进行安全评估。本研究的重点是开发一种方法来量化存在这种扰动效应的吸附参数,并举例说明由于有机配体的存在而导致的吸附减少因子(srf)的计算。异糖酸)用于水泥体系。srf的三种推导方法1)基于溶解度增强因子(SEFs)类比的半定量估计,2)基于放射性核素形态计算的预测,以及3)基于三元体系中实验吸附数据的定量预测,对am - isa -水泥体系进行了耦合和测试。我们的方法允许根据给定扰动的数据可用性,批判性地评估各种摄动系统的吸收减少因子对所选择的量化方法的依赖性。
Sorption parameter setting approaches for radioactive waste disposal considering perturbation effects: sorption reduction factors for organics
Various types of post-accident radioactive waste have been generated from cleanup and decommissioning activities at the Fukushima Daiichi nuclear power plant. Perturbation effects resulting from co-existing substances may influence radionuclide sorption. For the disposal of these wastes, perturbation effects on sorption parameters must be critically evaluated for the safety assessment of the disposal systems. The present study focuses on developing a methodology to quantify sorption parameters in the presence of such perturbation effects and on illustrating example calculations regarding sorption reduction factors (SRFs) due to the presence of organic ligands (ISA; isosaccharinic acid) for cement systems. Three approaches for the derivation of SRFs; 1) semi-quantitative estimation based on analogy with solubility enhancement factors (SEFs) derived from measured solubility, 2) prediction based on radionuclide speciation calculation, and 3) quantification from experimental sorption data in ternary systems were coupled and tested for the Am-ISA-cement system. Our approach allows to critically evaluate the dependence of sorption reduction factors for various perturbed systems on the chosen method of quantification, in accordance with the data availability for a given perturbation.