剖面反距离加权插值算法在离子吸附型稀土矿储量计算中的应用
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摘要
在传统的反距离加权插值法基础上,提出一种适用于离子吸附型稀土矿储量计算的剖面反距离加权插值算法。该算法通过结合计算机图形学中Delaunay三角剖分原理,不仅可实现对矿块进行最优剖面划分,还可根据已知探矿井的勘探数据对矿块任意点的值进行插值计算。通过二次开发技术,在Mapgis平台上实现了基于剖面反距离加权插值算法的离子吸附型稀土矿储量软件开发。最后,本文以江西赣州某离子型稀土矿块为例,分别用地质块段法和剖面反距离加权插值算法计算该矿块储量。结果表明,与传统的块段法相比,基于剖面反距离加权插值算法的离子吸附型稀土储量计算结果更加精确,并且其计算速度大幅提高,为离子型稀土矿开采技术、经济指标的客观评价奠定了基础。
According to the mechanism of ionic type rare earths mineralization and the distribution characteristics of the ore,this paper proposes a cross-section inverse distance weighted( CSIDW) interpolation algorithm for ionic type rare earths ores,which is improved on the traditional weighted interpolation method. It combines Delaunay triangulation of computer graphics to form cross-sections on Mapgis software platform. Compared with the traditional geological ore block method,the reserve calculation method based on CSIDW algorithm can provide more accurate and reliable estimation of ionic type rare earths reserves. The achievement of this paper would lay important technical basis for the mining of ionic type rare earths as well as its post-mining evaluation.
According to the mechanism of ionic type rare earths mineralization and the distribution characteristics of the ore,this paper proposes a cross-section inverse distance weighted( CSIDW) interpolation algorithm for ionic type rare earths ores,which is improved on the traditional weighted interpolation method. It combines Delaunay triangulation of computer graphics to form cross-sections on Mapgis software platform. Compared with the traditional geological ore block method,the reserve calculation method based on CSIDW algorithm can provide more accurate and reliable estimation of ionic type rare earths reserves. The achievement of this paper would lay important technical basis for the mining of ionic type rare earths as well as its post-mining evaluation.
引文
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[2]王登红,王瑞江,李建康,等.中国三稀矿产资源战略调查研究进展综述[J].中国地质,2013,40(2):361-370.Wang D H,Wang R J,Li J K,et al. The progress in the strategic research and survey of rare earth,rare metal and rare-scattered elements mineral resources[J]. Geology in China,2013,40(2):361-370.
[3]章文靖.稀土资源管理政策的国际比较及对中国的启示[D].上海:东华大学,2012.Zhang W J. The international comparison of rare earth resources management policy and implication to China[D]. Shanghai:Donghua University,2012.
[4]王登红,赵汀,何晗晗,等.中南地区三稀矿产资源调查研究及开发利用进展综述[J].桂林理工大学学报,2016,36(1):1-8.Wang D H,Zhao T,He H H,et al. Review of three rare mineral resources investigation and progress in centralsouth China[J]. Journal of Guilin University of Technology,2016,36(1):1-8.
[5]王登红,赵芝,于扬,等.我国离子吸附型稀土矿产科学研究和调查评价新进展[J].地球学报,2017,38(3):317-325.Wang D H,Zhao Z,Yu Y,et al. A review of the achievements in the survey and study of ion-absorption type REE deposits in China[J]. Acta Geoscientica Sinica,2017,38(3):317-325.
[6]王登红,赵芝,于扬,等.离子吸附型稀土资源研究进展存在问题及今后研究方向[J].岩矿测试,2013,32(5):796-802.Wang D H,Zhao Z,Yu Y,et al. Progress,problems and research orientation of ion-adsorption type rarth resources[J]. Rock and Mineral Analysis,2013,32(5):796-802.
[7]王仁铎,胡光道.线性地质统计学[M].北京:地质出版社,1988. 4-10.Wang R D,Hu G T. Linear Geostatistics[M]. Beijing:Geological Publishing House,1988. 4-10.
[8]王瑞江,王登红,李建康,等.稀有稀土稀散矿产资源及其开发利用[M].北京:地质出版社,2015.Wang R J,Wang D H,Li J K,et al. Rare Resources,Rare Earth and Rarely Scattered Resources and Their Development and Utilization[M]. Beijing:Geological Publishing House,2015. 28-58.
[9]赵汀,王登红,黄文斌,等.三稀战略调查成果数据库建设与应用[J].桂林理工大学学报,2016,36(1):36-41.Zhao T,Wang D H,Huang W B,et al. Construction and application of rare earth,rare metal and rare-scattered elements mineral resources database[J]. Journal of Guilin University of Technology,2016,36(1):36-41.
[10]赵汀,王登红,王瑞江,等.克里格法在离子吸附型稀土矿勘查储量估算中的应用[J].岩矿测试,2014,33(1):126-133.Zhao T,Wang D H,Wang R J,et al. Application of the kriging method in reserves estimation of the ionadsorbed type rare earth ore[J]. Rock and Mineral Analysis,2014,33(1):126-133.
[11]于扬,王登红,田兆雪,等.稀土矿区环境调查SMAIMA方法体系、评价模型及其应用——以赣南离子吸附型稀土矿山为例[J].地球学报,2017,38(3):335-344.Yu Y,Wang D H,Tian Z X,et al. Establishment and application of SMAIMA working method system and environment evaluation model. Rare earth elements mine:a case study of ion-absorption type ree mines in southern Jiangxi province[J]. Acta Geoscientica Sinica,2017,38(3):335-344.