小波勒山地区1:5万地球化学数据处理与异常评价  

Geochemical data (1/50000) Processing and Anomaly Evaluation for the Small Pol Mountain Region

作　　者：王小敏[1,2] 张晓军[1] 华杉[1] 张翰夫[1] 罗华[1] 

机构地区：[1]中国地质大学(武汉)资源学院,武汉430074 [2]国土资源部资源定量评价与信息工程重点实验室,武汉430074

出　　处：《地质与勘探》2010年第4期681-686,共6页Geology and Exploration

基　　金：黑龙江省呼中区松合义东山小波勒山幅1:5万区域地质矿产调查项目(HLJKD2005)资助

摘　　要：以小波勒山地区1:5万水系沉积物数据为对象,利用相关分析和R型聚类分析确定研究区成矿元素组合为Pb-Ag-Zn-Cu-Bi(铅多金属成矿组合)和Mo-W-Sn(钼多金属成矿组合),以线性方法构置组合变量F1(Pb-Ag-Zn-Cu-Bi)、F2(Mo-W-Sn),组合变量中的各元素权重根据该元素对主成矿元素的相关性强度来确定;运用趋势面分析方法圈定研究区两个组合变量的异常图。结果显示,根据组合变量所圈定的综合异常与研究区已知矿化地段重合性很强。结合成矿地质条件对所圈定异常进行评价,确定出具Ⅰ级找矿潜力异常区3个,Ⅱ级、Ⅲ级找矿潜力异常区各2个,为研究区下一步找矿方向的确定提供了科学的依据。Taking the stream sediment data （scale 1：50000） of the Small Pol mountain region as the object, the ore-forming elements portfolio of the study area are determined to be Pb-Ag-Zn-Cu-Bi （ Pb-polymetallic mineralization portfolio） and Mo-W-Sn （ Mo-bearing polymetallic mineralization portfolio） by correlation analysis and R-type cluster analysis. According to the above result,it is possible to make up two linear combind variables Fl （Pb-Ag- Zn-Cu-Bi） and F2 （Mo-W-Sn）. Moreover,the authority value of each element of these variables is determined by the relevant intensity of the main ore- forming elements. Two abnormal graphs of combined variables are drawn with the approach of trend-surface analysis. The resuh shows that the anomalies determined by the combination of variables are well consistent with the known mineralization areas and the alteration information in the study region. In cunjunction with the conditions of ore-forming geology,this paper evaluates the anomalies determined and suggests 3 potential mineral resources regions of level -I,and 2 regions of level-II and level-III,respectively. They provide scientific evidence for further mineral search.

关 键 词：地球化学异常评价 趋势面 组合变量 小波勒山地区 

分 类 号：P632.3[天文地球—地质矿产勘探]