Stream Sediment Geochemical Abnormal Information Extraction And Evaluation In Qiaolake Area Of Xinjiang

Geochemical data processing is an important content in exploration geochemistry,in which how to deal with a large number of detection data through scientific and reasonable methods is the key to affect the prospecting effect and efficiency.In the actual exploration and geochemical work,the main mathematical methods are used to use a large number of geochemical data for anomaly identification and information extraction,to predict unknown deposits,so as to provide a basis for the evaluation of mineral resources potential in the study area.Based on the geochemical data of sediment of 1:25,000 water system in Qiaolake area of Xinjiang,this paper divides the background and anomaly,extracts and filters abnormal information by using mathematical statistics method for 10 elements such as Au,as,Ag,Bi,Cu,Hg,Mo,Pb,Sb and Zn in the study area,And combined with the geological characteristics of the study area for analysis and evaluation,Studies have shown that:(1)Through the statistical analysis of the content of sediment elements in the study area,it is found that the elements are not completely subject to the normal distribution or logarithmic normal distribution,in which the background value of geochemical trace elements is more subject to logarithmic normal distribution,while the abnormal values to obey the fractal distribution.(2)By observing the double logarithmic fitting diagram of the content-area of each element,the abnormal period of each element is understood,and the abnormal lower limit values of 10 trace elements in the study area are obtained,in order to further isolate the geochemical anomalies related to mineralization from the complex geochemical background of the study area,The Multifractal filtering technique(S-A method)is used to separate the anomaly field from the background field,to enhance the weak anomaly,and then to extract the ore-causing anomaly at a deeper level on the basis of the regional anomaly obtained by the C-A method.(3)Using factor analysis to study the symbiotic combination law of 10 elements in the study area,the elements can be divided into 4 groups of factors,of which the F1 factor is mainly Cu-Pb-Zn-Ag-As,F2 factor is mainly Mo-Sb,F3 factor is mainly Au-Hg,F4 factor is mainly Bi,The combination of factor analysis and multifractal filtering technology is combined to further extract the combinatorial anomaly.(4)A total of 10 abnormalities were identified in the study area,including class A abnormalities 1,class B abnormalities 4,class C abnormalities 5,of which class A abnormalities are mainly located in the southwest of the study area,distributed in the black Mica granite diorite,by the magmatic action is obvious,is to find a favorable area for copper polymetallic deposits.