ArcGIS在西天山阿吾拉勒东段铁矿资源预测的应用  

Application of ArcGIS to Iron Ore Resource Prediction in the Eastern Segment of the Awulale Belt, West Tian Shan

作　　者：潘展超[1] 弓小平[1] 薛迎喜[2] 刘艳宾[1] 刘学良[1] 宋相龙[1] 

机构地区：[1]新疆大学,乌鲁木齐830049 [2]中国地质调查局资源评价部,北京100037

出　　处：《地质与勘探》2013年第3期558-569,共12页Geology and Exploration

基　　金：中国地质调查局地质调查项目<天山成矿带地质矿产调查评价>(编号:资[2010]矿评01-03-26)

摘　　要：本文以西天山阿吾拉勒东段海相火山岩型铁矿为例,从研究区的地质背景和已查明的6个海相火山岩型铁矿(点)出发,基于ArcGIS平台,建立空间数据库,结合已知矿(点)地质资料和野外验证分析,建立找矿模型与预测区提取模型,总结本区铁矿的主要控矿因素:①沉积地层;②侵入体;③布格重力异常;次要影响因素:①断层距离;②断层密度,将5个方面的证据图层与铁矿(化)点空间关系合成,采用证据权模型和加权Logistic回归模型进行成矿有利度评价,将研究区划分为6个靶区,结合研究区中主要矿(化)点对各靶区的地质成矿条件进行了探讨,分析了该地区的找矿潜力。Taking the skarn iron deposits in the eastern segment of the West Tian Shan as an examples, this work uses the ArcGIS platform to estab-lish a spatial database in terms of the geological background and the 6 known marine volcanic iron deposits （occurrences） in this area. Combined with the known deposits, geological data and field investigation, the prospecting and forecast area extraction models are established. We conclude the primary ore-controlling factors of the marine volcanic iron deposits as follows ： ① sedimentary formation ; ②intrusive mass ; and ③Bouguer gravity anomalies. The sec-ondary factors include fault distance and fault density. Starting from the these five aspects of evidence and the spatial relationship of iron mineralization, and making synthesis to them, the evidence weight model and weighted logistic regression model are used to evaluate the metallogenic favorable degrees, and iron six target areas are forecasted. Combined with the main mineral occurrences, the metallogenic geological conditions of the target area are dis-cussed, and the prospecting potential of this region is analyzed.

关 键 词：海相火山岩型铁矿 证据权模型 资源预测 西天山 

分 类 号：P617[天文地球—矿床学]