Synthetic Information Prediction Of Lead-zinc Deposit In Baijingshan Area Of Hulun Buir Based On Gis

The northern Mountains metallogenic belt of Great Khingan is one of the mostimportant lead-zinc-copper polymetallic metallogenic belts in northeast China. Many metallicmineral deposits of large and medium scale have been found in this area, including types ofskarn，hydrothermal vein，porphyry and marine volcanic hydrothermal metal deposits. Thecondition of geological for mineralizing in this area is outstanding and this area has goodore-prospecting future. Although Baijingshan area of Hulun Buri is located in themetallogenic belt, the past level of the exploration of mineral resources and geologicalresearch in the study area is low because of the serious restriction of a great deal offactors.Consequently, there are relatively less mineral deposits， ore occurrence andmineralized points to be discovered. In recent years，the implementation of National Land andResources Survey project provides a good opportunity to the metallogenic prognosis in theperspective of multi-geoscience information which includes geology, geophysics，geochemistry and remote sensing, which has great practical significance to strengthen theresearch of exploration and evaluation of the mineral resources in this area.In this paper, a spatial database of multi-source information of the study area based onGIS is established through the summarization，processing，interpreting and correlating of thedata of geology, geophysics，geochemistry and remote sensing, which provides visual data forresearch of metallogenic prognosis. According to the theory of synthetic information ofmetallogenic prognosis, the author concludes different levels of signals of ore-prospectinginformation in the study area through comparative analysis of regional metallogeneticconditions of Baijingshan area and metallogenic characteristics of typical lead-zincpolymetallic deposits. Taking this summarization into account, the author fully excavates thepolybasic metallogenic information which fulfills association and converting of the direct and indirect information, builds a comprehensive prospecting model of Baijingshan region andestablishes27predictive model variables (evidence factors) of polybasic metallogenicinformation. Lead-zinc polymetallic mineralization quantitative prediction and evaluation ofthe study area in large scale based on GIS has been reached for the first time through usingtwo prediction models—Experience interactive prospecting model and weight of evidencemodel of MRAS (Mineral Resources Assessment System) module as platform, dividinggeological statistical units by0.5km×0.5km grid cells method and conducting comparativeanalysis of mineralization information within the unit. Four levels of ore forming prospectiveareas, including4A-leve（lsix key working areas were selected first),3B-level,2C-level and10D–level, are classified through contrasting, inspection and syntheses of the predictiveresults of the two different models. The result shows that the known deposit(points) fall inA-level and B-level ore forming prospective areas, which implies that prediction results areeffective. The applications of two predictive models are comprehensive reflections ofevidence weighting methods that are driven by data and knowledge.Research on typical deposit in the Baijingshan region shows that the area aims atdiscovering hydrothermal vein with medium to small size typed Pb-Zn polymetallic depositsrelated to Yanshan Mineralization Period. Among the elements of ore-forming andore-controlling, Jurassic strata of Manitu Group and Baiyingaolao Formation, Cretaceousdiorite and orthoclase granites, NE-NNE trending fracture, alteration, geochemical anomaliesof individual Ag，Pb，Zn，Cu，Mo, Bi, geochemical anomalies of composite Zn-Cu，Pb-Ag-Mo, linear structure of remote sensing interpretation, known lead-zinc ore deposit andmineralized spots weigh over others. The new circled A-level ore forming prospective areasand key working areas visually express prospecting directions of the next step of mineralsurvey of lead-zinc polymetallic ore in the study area, which is expected to breakthrough inthe prospecting project of the study area.