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金属矿山 ›› 2020, Vol. 49 ›› Issue (11): 191-196.

• 地质与测量 • 上一篇    下一篇

基于ArcGIS的河南某金矿区成矿预测系统构建

赵亚蓓,时建新,苏衍坤   

  1. 1. 河南测绘职业学院测绘工程系,河南 郑州 450015;2. 中铁七局集团第一工程有限公司,河南 洛阳 471001;3. 济南测绘地理信息中心,山东 济南 250014
  • 出版日期:2020-11-15 发布日期:2020-12-22

Construction of the Metallogenic Prediction System of a Gold Mining Area in Henan Province Based on ArcGIS

ZHAO Yabei,SHI Jianxin,SU Yankun   

  1. 1. Department of Surveying and Mapping Engineering,Henan College of Surveying and Mapping,Zhengzhou 450015,China;2. No.1 Engineering Co.,Ltd.,China Railway No.7 Engineering Bureau Group,Luoyang 471001,China;3. Jinan Surveying and Mapping Geographic Information Center,Jinan 250014,China
  • Online:2020-11-15 Published:2020-12-22

摘要: 为进一步扩大河南省某金矿区资源量,提高资源成矿预测效率,构建了一种新的成矿预测系统。该系统基于ArcGIS软件平台并采用C语言进行开发,系统成矿预测流程分为数据模型建立、预测模型构建、 模型信息提取、矿产资源预测4个部分。通过收集研究区域的基本地质条件以及勘探数据等资料,建立数据库,并建立子数据库之间关联性。结合河南省某金矿区的地层、岩性、岩浆岩等特征,将构建的新型成矿预测 系统应用于该矿区,通过预测变量提取、权重系数计算、有利度计算,将成矿靶区由优质到一般的顺序分为A、B、C 3个级别,其中A级别靶区为有利度值为1.19到2.51的单元,B级别靶区为有利度值为2.51~3.83的单 元,C级别靶区为有利度值大于3.83的单元。通过所构建的系统进行成矿预测,得到各靶区的位置、面积等信息,与已有信息进行对比,表明所圈定的靶区可靠性较高,反映出采用所构建的系统进行成矿预测有一定的 可靠性。

关键词: 金矿, 成矿预测, 数据库, 成矿有利度, 靶区圈定

Abstract: In order to further expand the resources of a gold mining area in Henan Province and improve the efficiency of resource metallogenic prediction,a new metallogenic prediction system was constructed.The system was developed based on ArcGIS software platform and C language.The system metallogenic prediction process was divided into four parts:data model establishment, prediction model construction,model information extraction and mineral resource prediction.By collecting the basic geological conditions and exploration data of the study area, the database was established and the correlation between sub-databases was established.Based on the characteristics of strata,lithology and magmatic rocks in a gold mining area in Henan Province,the new metallogenic prediction system was applied to the mining area,and the metallogenic target area was classified into A,B and C in the order from high quality to general through the extraction of predictive variables,calculation of weight coefficient and calculation of metallogenic favorability value.Among them,the target area of level A is the unit with the metallogenic favorability value from 1.19 to 2.51,the target area of level B is the unit with the metallogenic favorability value from 2.51 to 3.83,and the target area of level C is the unit with the metallogenic favorability value greater than 3.83.The location,area and other information of each target area were obtained through the mineralization prediction of the constructed system,and the comparison with the existing information showed that the delineated target area has higher reliability,which reflects that the mineralization prediction of the constructed system has certain reliability.

Key words: gold mine, metallogenic prediction, database, metallogenic favorability, delineation of target area