基于地球化学数据库的火成岩及其组分空间分布规律分析  

Analysis of spatial distribution law of igneous rock and its components based on geochemical database

作　　者：张明明[1,2,3,4] 王成宝 秦宇帆 李思洋 ZHANG Mingming;WANG Chengbao;QIN Yufan;LI Siyang(School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009,China;Ore Deposit and Exploration Centre,Hefei University of Technology,Hefei 230009,China;Anhui Province Engineering Research Center for Mineral Resources and Mine Environments,Hefei University of Technology,Hefei 230009,China;Spatial Information Integration and Comprehensive Analysis Platform,Hefei University of Technology,Hefei 230009,China)

机构地区：[1]合肥工业大学资源与环境工程学院,安徽合肥230009 [2]合肥工业大学矿床成因与勘查技术研究中心,安徽合肥230009 [3]合肥工业大学安徽省矿产资源与矿山环境工程技术研究中心,安徽合肥230009 [4]合肥工业大学空间信息集成与综合分析平台,安徽合肥230009

出　　处：《合肥工业大学学报（自然科学版）》2021年第4期520-525,共6页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(41872247,41402287,41702353);第二次青藏高原综合科学考察资助项目(2019QZKK0708)。

摘　　要：文章以3个岩石地球化学数据库--海底岩石学数据库(Petrological Database of the Ocean Floor,PetDB)、海洋和大陆岩石地球化学(Geochemistry of Rocks of the Oceans and Continents,GEOROC)数据库及北美火山岩和侵入岩数据库(North American Volcanic and Intrusive Rock Database,NAVDAT)作为基础数据集,依据岩石类型、关键组分完整性、地理信息完整性的标准,筛选出按火成岩主要组分、主要岩石类型划分的全球地球化学数据集,将这些数据集进行地理位置投图,并结合邻域分析等地理信息系统(Geographic Information System,GIS)技术进行纬度剖面数据分析与结果可视化。在15°N、15°S、45°N及45°S共4个剖面上的邻域分析投图结果中,以SiO 2为代表的多种氧化物在各个经度范围的质量分数异常位置和现存板块交界处、火山活动活跃区域的位置表现出契合现象,这符合在各大地质时代中发生的气候变化以及岩石圈构造运动的特点。安山岩与玄武岩的数据分布结果表明,2种岩石富集位置相似度较高,存在伴生关系。就全球尺度下的个别类型火成岩及其主量组分的空间分布规律研究而言,大数据思想的应用具有不可忽视的实用价值。The fundamental data set of this study is based on the following three petro-geochemical databases:Petrological Database of the Ocean Floor(PetDB),Geochemistry of Rocks of the Oceans and Continents(GEOROC),and North American Volcanic and Intrusive Rock Database(NAVDAT).Data are selected according to the rock types,key component integrity,and geographic information integrity.Global geochemical data sets are divided according to the main components of igneous rocks and the main rock types of igneous rocks.Combined with neighborhood analysis and other Geographic Information System(GIS)technologies for latitude profile data analysis and result visualization,these data sets are visualized by geographic locations.In the neighborhood analysis and mapping results on the 15°north and 15°south latitudes,45°north and 45°south latitudes,the locations of abnormal mass percentages of various oxides represented by SiO 2 in various longitude ranges show a coincidence with those of the junctions of multiple geological plates and active volcanic activities,which is in line with the characteristics of climate change and lithospheric tectonic movement that occurred in major geological eras.The data distribution results of andesite and basalt show that the two kinds of rocks have a high degree of similarity in their enrichment positions,and there is an accompanying relationship.In terms of the research on the spatial distribution of individual types of igneous rocks and their main components on a global scale,the application of big data ideas has a practical value that cannot be ignored.

关 键 词：地球化学数据库 大数据 火成岩主量组分 安山岩 玄武岩 空间分布规律 

分 类 号：P588.19[天文地球—岩石学]