基于MORPAS多元信息成矿预测研究——以上黑龙江成矿带为例  

Multi-informational MORPAS Gold Metallogenic Prediction ——Taking Upper Heilongjiang Metallogenic Belt as Example

作　　者：杨吉波 员俊杰 周殿宇[1] 李师白[1] 

机构地区：[1]武警黄金第三支队,黑龙江哈尔滨150069

出　　处：《河北北方学院学报（自然科学版）》2014年第1期18-24,共7页Journal of Hebei North University:Natural Science Edition

摘　　要：上黑龙江成矿带主要由早中侏罗世河流湖泊洪积相含煤碎屑岩组成,目前已发现多个中小型矿床,在该区进行成矿预测意义重大。利用MORPAS成矿预测系统,采用证据权重法进行成矿预测工作,在充分研究区内已知矿床的成矿规律基础上,以1∶25万比例的地质图为背景,物化探异常分析子系统对1∶20万区域化探数据进行C-A分形确定异常下限,综合现有的找矿标志,提取有利的成矿要素,进行针对处理,制成上黑龙江成矿带MORPAS金成矿预测分析图,提供成矿靶区,为森林高覆盖区提供找矿有利条件。Uppert Heilongjiang metallogenic belt is mainly composed of the early-Middle Jurassic coal bearing clastic rock in River-Lake-pluvial facies.At present,a number of small and medium-sized deposits have been found,so it is great significance for metallogenic prediction in the area.In this article,multi-source data sets including geological,geophysical,geochemical elsdatawer eintegr ated for mineral poten-tial mapping by using MORPAS technology. Furthermore these deposit recognition criteria layers were combined in the weight of evidence model,which used the spatial correlations between the evidence layers and the known mineral occurrences,to calculate the posterior probability and indentify the delineated pro-spective area.

关 键 词：上黑龙江成矿带 MORPAS 成矿预测 金 

分 类 号：P618.51[天文地球—矿床学]