ArcGIS在东昆仑西段铁矿资源预测中的应用——以矽卡岩型铁矿为例

Application of GIS to Ore Prediction of Iron Ore Resources in the Western Segment of the East Kunlun:A Case Study of Skarn-Type Iron Deposits

GIS在矿产预测中的应用研究日益普及和深化,在矿产勘查领域中已成为一种快速有效成矿预测方法。本文以东昆仑西段矽卡岩型铁矿为例,从研究区的地质背景和已查明的13个矽卡岩型铁矿(点)出发,基于ArcGIS平台,建立本研究区的空间数据库,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,由于矽卡岩型矿床主要的共同特点与中酸性侵入体、火山岩和碳酸盐岩等有关,所以总结出本区矽卡岩型铁矿的主要控矿因素取决于:(1)断层;(2)侵入体;(3)岩石组分,从3个方面的证据图层与铁矿(化)点空间关系入手,并对其进行合成,采用证据权模型和加权Logistic回归模型进行成矿有利度评价,共圈定3个矽卡岩型铁矿预测区东昆仑西段地区具有很大的找矿潜力。

With the increasing popularization and deepening of the application research of G[S in ore prediction, GIS has become a fast and effective method for metallogenic forecast. Taking skarn type iron deposits in the western section of the East Kunlun as an example, this work is based on the ArcGIS platform to establish a spatial database in terms of the geological background and 13 known sedimentary-metamorphic iron （point） of the study area~ Combined with the known deposits, geological data and field check analysis, the prospecting and forecast area extraction models are established. Because the main common features of the skarn-type deposits are related to the intermediate-acidic intrusive mass, volcanic and carbonate, this paper concluds the main ore control factors of the skarn type iron deposits as follows ： （ 1 ） fault ; （ 2 ） intrusion ; and （ 3 ） rock components. Starting fi＇om the these three 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 evulate metallogenic beneficial degrees, and three skarn-type iron areas are forecasted.,It is suggested that the westectl segment of the East Kunlun has a great prospecting potential.