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新疆博罗科努成矿带东段地球化学分形特征及找矿预测 被引量:4

Geochemical fractal characteristics and prospecting prediction of the eastern section of the Boluokenu metallogenic belt,Xinjiang
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摘要 根据对博罗科努成矿带东段约800 km^2内2 269个水系沉积物样品的11项元素分析数据的统计分析,确定Cu,Pb,Zn,Ag,Bi和Mo为主要的示矿元素。示矿元素的C-A分形模型拟合直线多为三段式,体现多重分形特征。根据其拐点划分出地球化学背景、区域异常与局部异常,并基于乘积综合异常圈定出莱历斯高尔、可克萨拉和萨雷玛扎尔3个预测靶区。各预测靶区与区内已发现矿床的分布高度吻合,体现出地球化学分形异常在找矿预测中具有良好的应用效果,为未知矿床的探寻提供了良好的方法。 Statistical analysis of 11 elements from 2 269 stream sediment samples collected in a region of about 800 km^2 of the eastern Boluokenu metallogenic ore belt suggested that the Cu,Pb,Zn,Ag,Bi and Mo could be used as main elements for ore-prospecting.The fitting straight lines of C-A fractal model of ore-prospecting elements were mostly three sections,which reflected the multifractal features.According to their inflection points,the geochemical background,regional anomaly and local anomaly were divided,and three predicted target area such as Lailisigaoer,Kekesala and Saleimazhaer had been located on the basis of the product synthesis anomaly in the study area.The distribution of ore deposits found in the predictied target areas was in good agreement with that of the predicted target areas,which showed that the geochemical fractal anomaly had a good application effect in the prospecting and prediction,and provided a useful method in searching for unknown deposits.
作者 向中林 顾雪祥 王恩营 章永梅 彭义伟 王新利 XIANG Zhonglin;GU Xuexiang;WANG Enying;ZHANG Yongmei;PENG Yiwei;WANG Xinli(Institute of Resources and Environment,Henan Polytechnic University,Jiaozuo454000,Henan,China;School of Earth Sciences and Resources,China University of Geosciences(Beijing),Beijing100083,China;College of Earth Sciences,Chengdu University of Technology,Chengdu610059,Sichuan,China;Xinda Gold&Silver Development Centre,Beijing100038,China)
出处 《河南理工大学学报(自然科学版)》 CAS 北大核心 2019年第4期49-57,共9页 Journal of Henan Polytechnic University(Natural Science)
基金 国家自然科学基金资助项目(41572062) 中央返还两权价款资金综合研究项目(Y15-1-LQ04)
关键词 地球化学异常 C-A分形模型 多重分形 找矿预测 博罗科努成矿带 geochemical anomaly C-A fractal model multiple fractal prospecting prediction Boluokenu metallogenic belt
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