首页> 外文会议>International conference on environmental remediation and radioactive waste management;ICEM2010 >DEVELOPMENT OF A QUALITY MANAGEMENT SYSTEM (QMS) FOR BOREHOLE INVESTIGATIONS: (2) EVALUATION OF APPLICABILITY OF QMS METHODOLOGY FOR THE HYDROCHEMICAL DATASET
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DEVELOPMENT OF A QUALITY MANAGEMENT SYSTEM (QMS) FOR BOREHOLE INVESTIGATIONS: (2) EVALUATION OF APPLICABILITY OF QMS METHODOLOGY FOR THE HYDROCHEMICAL DATASET

机译:钻孔研究质量管理系统(QMS)的开发:(2)QMS方法论在水化学数据集中的适用性评估

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An appropriate QMS, which is among the first tools required for repository site characterisation, will save on effort by reducing errors and the requirement to resamplc and reanalyse - but this can only be guaranteed by continuously assessing if the system is truly fit-for-purpose and amending it as necessary based on the practical experience of the end-users on-site. A QA audit of hydrochemical datasets for boreholes HDB-1 - 11 from Horonobe URL project by JAEA has been carried out by the application of a formal QA analysis which is based on the methodology previously employed for groundwaters during the recent site characterisation programme in Sweden. This methodology has been successfully applied to the groundwaters of the fractured crystalline rocks of the Fennoscandian Shield and has now been adapted and applied to some of the ground- and porewaters of the Horonobe URL area.This paper will present this system in the context of the Japanese national programme and elucidate improvements made during hands-on application of the borehole investigation QMS. Further improvements foreseen for the future will also be discussed with a view of removing inter-operator variability as much as is possible. Only then can confidence be placed in URL project or repository site hydrochemical datasets.
机译:适当的QMS,这是存储库站点表征所需的首批工具之一,它将通过减少错误以及重新采样和重新分析的要求来节省工作量-但这只能通过不断评估系统是否真正适合目的来保证。并根据现场最终用户的实际经验对其进行必要的修改。 JAEA通过使用正式的QA分析对JAO的Horonobe URL项目的钻孔HDB-1-11的水化学数据集进行了QA审核,该分析基于以前在瑞典最近的场地表征计划中用于地下水的方法。该方法已成功地应用于芬诺斯堪的亚盾构的裂隙性结晶岩的地下水中,现在已被改编并应用于Horonobe URL地区的某些地下水和孔隙水。 本文将在日本国家计划的背景下介绍此系统,并阐明在动手应用井眼调查QMS期间所做的改进。为了尽可能消除操作员之间的可变性,还将讨论对未来的预期改进。只有这样,才能将置信度放在URL项目或存储库站点的水化学数据集中。

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