地质与勘探2013，Vol.49Issue(3)：558-569,12.
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
摘要
Abstract
Taking the skam iron deposits in the eastern segment of the West Tian Shan as an examples,this work uses the ArcGIS platform to establish 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 orecontrolling factors of the marine volcanic iron deposits as follows:① sedimentary formation; ②intrusive mass; and ③Bouguer gravity anomalies.The secondary 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 discussed,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Key words
marine volcanic iron/evidence weight model/resource prediction/West Tian Shan分类
天文与地球科学引用本文复制引用
潘展超,弓小平,薛迎喜,刘艳宾,刘学良,宋相龙..ArcGIS在西天山阿吾拉勒东段铁矿资源预测的应用[J].地质与勘探,2013,49(3):558-569,12.基金项目
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)资助. （编号:资[2010]矿评01-03-26）
