Article(id=1311360845402177609, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311360814477575028, articleNumber=null, orderNo=null, doi=10.13426/j.cnki.yky.2025.12.08, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1765296000000, receivedDateStr=2025-12-10, revisedDate=1767801600000, revisedDateStr=2026-01-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1790582389449, onlineDateStr=2026-09-28, pubDate=1787155200000, pubDateStr=2026-08-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790582389449, onlineIssueDateStr=2026-09-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790582389449, creator=13701087609, updateTime=1790582389449, updator=13701087609, issue=Issue{id=1311360814477575028, tenantId=1146029695717560320, journalId=1146123346816638986, year='2026', volume='45', issue='3', pageStart='1', pageEnd='172', issueExtLink='null', onlineDate='null', pubDate='1787155200000', pubDateStr='2026-08-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1790582382077, creator='13701087609', updateTime=1790583873531, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1311367070160355561, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311360814477575028, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1311367070160355562, tenantId=1146029695717560320, journalId=1146123346816638986, issueId=1311360814477575028, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=121, endPage=130, ext={EN=ArticleExt(id=1311360845645447242, articleId=1311360845402177609, tenantId=1146029695717560320, journalId=1146123346816638986, language=EN, title=Research on Gamma Spectroscopy Methods for Determination of Radionuclides in Associated Radioactive Solid Waste, columnId=1175805042197152439, journalTitle=Uranium Mining and Metallurgy, columnName=Safety and Environment Protection, runingTitle=null, highlight=null, articleAbstract=

In view of the characteristics of complicated types, high salt content and strong matrix effect of associated radioactive solid wastes, and there is no relevant standard method for analyzing radionuclides in associated radioactive solid wastes. Taking molybdenum ore slag, zirconium ore slag and rare earth slag as the measurement objects, the chemical components in the samples were measured by X-ray fluorescence spectrometer, and the simulated efficiency calibration was carried out by combining with the passive efficiency calibration software. The spectrum was measured by gamma spectrometer, and the gamma spectrometry method for the analysis of radioactive nuclides in associated radioactive solid waste was established. The experimental results show that the rare earth waste residue, zirconium waste residue and background matrix samples are uniformly mixed at the ratio of 3∶7 (30 g∶70 g) and 1∶4 (20 g∶80 g), and then put into the ϕ 75 mm× 20 mm sample box for gamma spectrometry measurement. The measurement dead time accounts for 9% and the correction error of self absorption factor is less than 5%; The absolute value of the relative error is less than 5%; The maximum deviation between the passive efficiency scale and the active efficiency scale is 4.74%; When 238U is measured with 92.6 keV full energy peak, the deviation of the measured results after the interference peak correction meets the requirement of less than 30%. Compared with other methods, the relative deviations of 238U, 232Th and 226Ra are 1.40%-5.03%, 0.59%-6.13% and 2.30%-3.85%, respectively. When the gamma spectrometer is used to measure the associated radioactive solid wastes, this method optimizes the sample loading quality, reduces the influence of sample self absorption, and does not need to match the solid waste standard sample with the same matrix, and the measurement result is reliable. The results provide a feasible analytical scheme for peer laboratories and technical support for the formulation of relevant industry standards.

, authors=Ping SONG1, 3, Chunming ZHONG2, Junjie MAO1, 3, Shigen TANG1, 3, authorsList=Ping SONG, Chunming ZHONG, Junjie MAO, Shigen TANG, authorCompany=null, correspAuthors=Chunming ZHONG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1311360845997768779, articleId=1311360845402177609, tenantId=1146029695717560320, journalId=1146123346816638986, language=CN, title=伴生放射性固体废物中放射性核素的γ能谱测定方法研究, columnId=1175805042343953080, journalTitle=铀矿冶, columnName=安全·环保, runingTitle=null, highlight=null, articleAbstract=

伴生放射性固体废物种类繁杂、含盐量高、基体效应强,目前对其关键放射性核素的准确测量缺乏相关标准化分析方法。本研究以钼矿废渣、锆矿废渣和稀土废渣为研究对象,利用X射线荧光光谱仪测定样品中的化学组分,结合无源效率刻度软件进行模拟效率刻度,使用γ能谱仪获取γ谱图,进而建立了可用于伴生放射性固体废物中放射性核素分析的γ能谱法。试验结果表明,将稀土废渣、锆矿废渣与本底基质样品分别按照质量比3 ∶ 7(30 g∶ 70 g)、1∶ 4(20 g∶ 80 g)混合均匀后,装入ϕ75 mm×20 mm的样品盒进行γ能谱测量,测量死时间占比9%,自吸收因子修正误差小于5%,相对误差的绝对值小于5%;样品无源效率刻度相对于有源效率刻度的最大偏差为4.74%;当利用92.6 keV全能峰测量238U时,对测量结果进行干扰峰修正后的结果偏差满足要求(小于30%);与放化方法对比,样品中238U、232Th和226Ra的测量结果相对偏差范围分别为1.40%~5.03%、0.59%~6.13%和2.30%~3.85%。此方法通过优化装样质量以降低样品自吸收影响,并实现了无须依赖基质匹配固体废物标准样品的可靠测量。其结果为同行实验室提供了可行的分析方案,并为相关行业标准制定提供了技术支撑。

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钟春明
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伴生放射性固体废物中放射性核素的γ能谱测定方法研究
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宋平 1, 3 , 钟春明 2 , 毛俊杰 1, 3 , 唐世根 1, 3
铀矿冶 | 安全·环保 2026,45(3): 121-130
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铀矿冶 |安全·环保 2026 , 45 (3) : 121 -130
伴生放射性固体废物中放射性核素的γ能谱测定方法研究
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宋平1, 3, 钟春明2, 毛俊杰1, 3, 唐世根1, 3
作者信息
  • 1.湖南省核地质与核技术应用中心,湖南 长沙 410000
  • 2.核工业二三0研究所,湖南 长沙 410007
  • 3.湖南省电离辐射计量与仪器工程技术研究中心,湖南 长沙 410000
通讯作者:
钟春明
Research on Gamma Spectroscopy Methods for Determination of Radionuclides in Associated Radioactive Solid Waste
Ping SONG1, 3, Chunming ZHONG2, Junjie MAO1, 3, Shigen TANG1, 3
Affiliations
  • 1.Hunan Nuclear Geology and Nuclear Technology Application Center, Changsha 410000, China
  • 2.Research Institute No.230, CNNC, Changsha 410007, China
  • 3.Hunan Provincial Engineering Technology Research Center for Ionizing Radiation Metrology and Instruments, Changsha 410000, China
出版时间: 2026-08-20 doi: 10.13426/j.cnki.yky.2025.12.08
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伴生放射性固体废物种类繁杂、含盐量高、基体效应强,目前对其关键放射性核素的准确测量缺乏相关标准化分析方法。本研究以钼矿废渣、锆矿废渣和稀土废渣为研究对象,利用X射线荧光光谱仪测定样品中的化学组分,结合无源效率刻度软件进行模拟效率刻度,使用γ能谱仪获取γ谱图,进而建立了可用于伴生放射性固体废物中放射性核素分析的γ能谱法。试验结果表明,将稀土废渣、锆矿废渣与本底基质样品分别按照质量比3 ∶ 7(30 g∶ 70 g)、1∶ 4(20 g∶ 80 g)混合均匀后,装入ϕ75 mm×20 mm的样品盒进行γ能谱测量,测量死时间占比9%,自吸收因子修正误差小于5%,相对误差的绝对值小于5%;样品无源效率刻度相对于有源效率刻度的最大偏差为4.74%;当利用92.6 keV全能峰测量238U时,对测量结果进行干扰峰修正后的结果偏差满足要求(小于30%);与放化方法对比,样品中238U、232Th和226Ra的测量结果相对偏差范围分别为1.40%~5.03%、0.59%~6.13%和2.30%~3.85%。此方法通过优化装样质量以降低样品自吸收影响,并实现了无须依赖基质匹配固体废物标准样品的可靠测量。其结果为同行实验室提供了可行的分析方案,并为相关行业标准制定提供了技术支撑。

伴生放射性固体废物  /  γ能谱法  /  无源效率刻度  /  放射性核素  /  化学组分  /  定量分析  /  基体效应

In view of the characteristics of complicated types, high salt content and strong matrix effect of associated radioactive solid wastes, and there is no relevant standard method for analyzing radionuclides in associated radioactive solid wastes. Taking molybdenum ore slag, zirconium ore slag and rare earth slag as the measurement objects, the chemical components in the samples were measured by X-ray fluorescence spectrometer, and the simulated efficiency calibration was carried out by combining with the passive efficiency calibration software. The spectrum was measured by gamma spectrometer, and the gamma spectrometry method for the analysis of radioactive nuclides in associated radioactive solid waste was established. The experimental results show that the rare earth waste residue, zirconium waste residue and background matrix samples are uniformly mixed at the ratio of 3∶7 (30 g∶70 g) and 1∶4 (20 g∶80 g), and then put into the ϕ 75 mm× 20 mm sample box for gamma spectrometry measurement. The measurement dead time accounts for 9% and the correction error of self absorption factor is less than 5%; The absolute value of the relative error is less than 5%; The maximum deviation between the passive efficiency scale and the active efficiency scale is 4.74%; When 238U is measured with 92.6 keV full energy peak, the deviation of the measured results after the interference peak correction meets the requirement of less than 30%. Compared with other methods, the relative deviations of 238U, 232Th and 226Ra are 1.40%-5.03%, 0.59%-6.13% and 2.30%-3.85%, respectively. When the gamma spectrometer is used to measure the associated radioactive solid wastes, this method optimizes the sample loading quality, reduces the influence of sample self absorption, and does not need to match the solid waste standard sample with the same matrix, and the measurement result is reliable. The results provide a feasible analytical scheme for peer laboratories and technical support for the formulation of relevant industry standards.

associated radioactive solid wastes  /  gamma spectrometry  /  passive efficiency scale  /  radioactive nuclide  /  chemical composition  /  quantitative analysis  /  matrix effect
宋平, 钟春明, 毛俊杰, 唐世根. 伴生放射性固体废物中放射性核素的γ能谱测定方法研究. 铀矿冶, 2026 , 45 (3) : 121 -130 . DOI: 10.13426/j.cnki.yky.2025.12.08
Ping SONG, Chunming ZHONG, Junjie MAO, Shigen TANG. Research on Gamma Spectroscopy Methods for Determination of Radionuclides in Associated Radioactive Solid Waste[J]. Uranium Mining and Metallurgy, 2026 , 45 (3) : 121 -130 . DOI: 10.13426/j.cnki.yky.2025.12.08
  • 中核铀业全国重点实验室青年基金项目(NKLUR-2024-QN-020)
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2026年第45卷第3期
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doi: 10.13426/j.cnki.yky.2025.12.08
  • 接收时间:2025-12-10
  • 首发时间:2026-09-28
  • 出版时间:2026-08-20
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  • 收稿日期:2025-12-10
  • 修回日期:2026-01-08
基金
中核铀业全国重点实验室青年基金项目(NKLUR-2024-QN-020)
作者信息
    1.湖南省核地质与核技术应用中心,湖南 长沙 410000
    2.核工业二三0研究所,湖南 长沙 410007
    3.湖南省电离辐射计量与仪器工程技术研究中心,湖南 长沙 410000

通讯作者:

钟春明
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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