Application Of Evidence Weighting Method To The Evaluation Of Uranium Resource In Bayingebi Basin Of Inner Mongolia By GIS

With the development of science and technology, as well as the growing increase ofthe social demand of mineral resources, Metallogenic prediction and evaluation havedeveloped gradually from the qualitativeto the quantitative direction. GeographicInformation System (GIS) technology is based on the spatial relationships of the datato direct call and operate, GIS technology can improve the prediction efficiency of themineral resources and shorten the evaluation cycle of resources, and delineate thefavorable mineralization segment at all levels quantitatively.Weights of evidence predict mineral prospect by weighting, superimposing andcompound with some geo-information layers associated with mineral formation. Itsbasis is geological assessment model turning into "mesh", to calculate the value ofweight according to the information and data of every grid., evaluation methods relyon data-driven of layers from start to finish, done by a computer automatically. Makeeffective prediction and comprehensive mathematical evaluation to variety offavorable metallogenetic factors (evidence layer) Combining with GIS technology. Aslong as the input layer is reasonable, the selected factor is appropriate, and then theresults is objective and credible.The results show that: geochemical U anomalies has the highest association withmineralization, the next is Air radioactive anomalies; calculating the posteriorprobability of each unit of study area using the software of MRAS, dividing theresults into four grades according to the value of posterior probability, and Givingdifferent grades in different colors, then we can get the posterior probability valuechart containing known deposits.11metallogenetic prospective areas were delineatedaccording to the posterior probability value chart and existing geological, thepredicted results have important guiding significance to further exploration in thearea.