Geochemical Characteristics Analysis And Metallogenic Rediction Of Xiaoxing’an Mountains–Zhangguangcai Mountains Area

The paper, according to Project "Hei Longjiang Xiaoxing’an Mountains–Zhangguangcai Mountains mining area metallogenic regularity and metallogenicprediction", makes an extensive collection of geography, physics, chemistry, remotesensing, and mineral materials; based on the law on regional metallogenic studies,guided by geological anomaly ore, and mineral evaluation of integrated informationtheory, it makes use of GIS platform to study multiple comprehensive informationmetallogenic prediction, and analyze the chemical features, using various statisticalapproaches such as regression analysis, correlate analysis, factor analysis, clusteranalysis and fractal analysis, etc. It also realizes the prospective province prognosis ofpolymetallic deposit by delineation, that provides certain scientific basis for furtherexploration and development of the regional mineral resources.It shows that the elements have significant correlation, according to theregression analysis, correlate analysis, factor analysis, cluster analysis on these17elements (Pb、Zn、Ag、Mo、Y、Be、Cd、Co、Cr、Cu、Zn、Mn、Ni、La、Nb、U、V)in the experimental plot. The paper confirms the rough distribution ofmulti-metal elements geochemical anomaly area, in accordance with contour map.The geochemical element outlier range, which is worked by fractal analysissummation, has a high coincidence degree with the known mineral deposit. Thegeochemical anomaly is obvious around the ore body, that makes an directinformation of prospection.Through the study of the elements features, the paper determines the relationbetween geochemical anomaly and multi-metal mineralization. Statistic analysis ofthe relation is done, between the multi-metal deposit and mineralized spotsdistribution and the geochemical anomaly of those17elements. It turns out that thePb、Zn、Mo deposit and mineralized spots have close relation with the geochemicalanomaly of Pb、Zn、Ag、Mo, which means that the four elements can be used aspredictor variable of deposit and ore spot. Taking full advantage of known mineralproducts information, the paper analyzes the known ore spot distribution, and the keymetallogenic province has been outlined. Pb, Zn, Ag, Mo etc. metallogeniccharacteristics requirements identified by the study, and the geochemical anomaly ofPb、Zn、Ag、Mo, is a good sign of metallogenic prediction. By using the deposit model comprehensive geological information prediction techniques based on GIS, referringto key metallogenic province, the prognosis prospective province of Pb、Zn、Ag、Mo mine, has been outlined.