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引用本文:左群超1 杨东来1 宋 越1 马 娟2 肖志坚3. 中国矿产资源潜力评价成果数据质量控制及方法技术[J]. 中国地质, 2013, 40(4): 1314-1328.
ZUO Qun-chao1, YANG Dong-Lai1, SONG Yue1, MA Juan2, XIAO Zhi-jian3. The data quality control and technique of the mineral resources potential evaluation in China[J]. Geology in China, 2013, 40(4): 1314-1328(in Chinese with English abstract).
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中国矿产资源潜力评价成果数据质量控制及方法技术
左群超1 杨东来1 宋 越1 马 娟2 肖志坚31,2,3
1.中国地质调查局发展研究中心,北京 100037;2.中国地质环境监测院,北京100081;3.南京地质矿产研究所,江苏 南京210016
摘要:
提要:本文以中国矿产资源潜力评价专项成果数据质量控制工作为依托,系统地阐述了应用于中国矿产资源潜力评价专项成果数据质量控制的基本理论及方法技术。通过实际应用证实了该质量控制方法技术的有效性、可行性、实用性和代表性,有一定借鉴意义和推广价值。该方法技术具有很好的示范效果和推广应用前景,适用于各类地质空间数据项目成果数据质量控制工作。
关键词:  质量控制  质量元素  质量缺陷  抽样检查  可接收质量限(AQL)  质量评价模型
DOI:
分类号:
基金项目:中国地质调查局“全国重要矿产资源潜力评价综合信息集成”项目(121201121041)资助。
The data quality control and technique of the mineral resources potential evaluation in China
ZUO Qun-chao1, YANG Dong-Lai1, SONG Yue1, MA Juan2, XIAO Zhi-jian31,2,3
1. Development Research Center of China Geological Survey, Beijing 100037, China;2. China Geological Environmental Monitoring Institute, Beijing 100081, China;3. Nanjing Institute of Geology and Mineral Resources, Nanjing 210016, Jiangsu, China
Abstract:
Abstract:Exemplified by data quality control of China's mineral resources potential evaluation special project,this paper put forward the data quality control process for the very complex problem domain,systematically illuminated the essential models,methods and techniques of the data quality control,and briefly described the design idea and implementation of the data quality control software system as well as the related research achievements. Practices have verified the effectiveness,feasibility,practicability and representativeness of the data quality control models,methods and techniques,and the results obtained have certain reference significance and application value. The methods and techniques have a very good demonstration effect and application prospect, are suitable for the work of data quality control of various geological spatial data ptoject.
Key words:  quality control  quality element  quality defect  sampling check  Acceptable Quality Level(AQL)  quality evaluation model