The identification of anomalies within stream sediment geochemical data is one of the fastest developing areas in mineral exploration.The various means used to achieve this objective make use of either continuous or d...The identification of anomalies within stream sediment geochemical data is one of the fastest developing areas in mineral exploration.The various means used to achieve this objective make use of either continuous or discrete field models of stream sediment geochemical data.To map anomalies in a discrete field model of such data,two corrections are required:background correction and downstream dilution correction.Topography and geomorphology are important factors in variations of element content in stream sediments.However,few studies have considered,through the use of digital terrain analysis,the influence of geomorphic features in downstream dilution correction of stream sediment geochemical data.This study proposes and demonstrates an improvement to the traditional downstream dilution correction equation,based on the use of digital terrain analysis to map single-element anomalies in stream sediment geochemical landscapes.Moreover,this study compares the results of analyses using discrete and continuous field models of stream sediment geochemical data from the Xincang area,Tibet.The efficiency of the proposed methodology was validated against known mineral occurrences.The results indicate that catchment-based analysis outperforms interpolation-based analysis of stream sediment geochemical data for anomaly mapping.Meanwhile,the proposed modified downstream dilution correction equation proved more effective than the original equation.However,further testing of this modified downstream dilution correction is needed in other areas,in order to investigate its efficiency further.展开更多
全国矿产资源潜力评价(2006—2013)工作历时8年,是中华人民共和国成立以来规模最大的矿情调查工作之一,形成了海量(TB级)的成果数据。如何高效地管理该数据集,实现数据的广泛应用,成为数据共享服务的关键和难点。文章以全国矿产潜力评...全国矿产资源潜力评价(2006—2013)工作历时8年,是中华人民共和国成立以来规模最大的矿情调查工作之一,形成了海量(TB级)的成果数据。如何高效地管理该数据集,实现数据的广泛应用,成为数据共享服务的关键和难点。文章以全国矿产潜力评价成果数据为基础,运用GIS技术,研究了地质大数据存储管理、基于元数据的查询检索、空间数据可视化等关键技术,提出了一种针对海量、多源、异构的地质数据的统一管理模型。首先,构建元数据库作为存储不同类型数据的索引,完成数据的统一集成管理,同时实现数据的快速查询访问;其次,借助强大成熟的Mapgis K9功能模块和开源的NASA World Wind三维数字地球引擎,进行二次开发,搭建适合于矿产资源潜力评价成果数据信息管理系统平台,为矿产资源潜力评价成果数据推广应用提供信息技术支撑,提高潜力评价数据的信息化服务能力。展开更多
基金financially supported by the National Natural Science Foundation of China(NNSFC,Project No.42002298)the Chinese Geological Survey(Project Nos.DD20201181,DD20211403)+1 种基金the National Key Research and Development Program of China(NKRDPC,Project No.2017YFC0601501)funded by The Project of"Big Data Analysis and Major Project Evaluation of Strategic Mineral Resources"from the Chinese Geological Survey。
文摘The identification of anomalies within stream sediment geochemical data is one of the fastest developing areas in mineral exploration.The various means used to achieve this objective make use of either continuous or discrete field models of stream sediment geochemical data.To map anomalies in a discrete field model of such data,two corrections are required:background correction and downstream dilution correction.Topography and geomorphology are important factors in variations of element content in stream sediments.However,few studies have considered,through the use of digital terrain analysis,the influence of geomorphic features in downstream dilution correction of stream sediment geochemical data.This study proposes and demonstrates an improvement to the traditional downstream dilution correction equation,based on the use of digital terrain analysis to map single-element anomalies in stream sediment geochemical landscapes.Moreover,this study compares the results of analyses using discrete and continuous field models of stream sediment geochemical data from the Xincang area,Tibet.The efficiency of the proposed methodology was validated against known mineral occurrences.The results indicate that catchment-based analysis outperforms interpolation-based analysis of stream sediment geochemical data for anomaly mapping.Meanwhile,the proposed modified downstream dilution correction equation proved more effective than the original equation.However,further testing of this modified downstream dilution correction is needed in other areas,in order to investigate its efficiency further.
基金supported by the State Key Research Project ″Research and Demonstration of the System and Technology for Deep Resources Prediction″( 2017YFC0601500 )~~
文摘全国矿产资源潜力评价(2006—2013)工作历时8年,是中华人民共和国成立以来规模最大的矿情调查工作之一,形成了海量(TB级)的成果数据。如何高效地管理该数据集,实现数据的广泛应用,成为数据共享服务的关键和难点。文章以全国矿产潜力评价成果数据为基础,运用GIS技术,研究了地质大数据存储管理、基于元数据的查询检索、空间数据可视化等关键技术,提出了一种针对海量、多源、异构的地质数据的统一管理模型。首先,构建元数据库作为存储不同类型数据的索引,完成数据的统一集成管理,同时实现数据的快速查询访问;其次,借助强大成熟的Mapgis K9功能模块和开源的NASA World Wind三维数字地球引擎,进行二次开发,搭建适合于矿产资源潜力评价成果数据信息管理系统平台,为矿产资源潜力评价成果数据推广应用提供信息技术支撑,提高潜力评价数据的信息化服务能力。
