中文摘要：

从数学地质和地质统计学角度,应用现代非线性科学的最新成果,对化探异常的再评价,再解释,进一步挖掘化探数据中蕴含的成矿信息是矿产资源预测的关键.本论文研究区是西藏洞嘎普铜矿勘查区,论文从地球化学矿致异常定量评价方法研究出发,利用多种现代数学方法和非线性分析方法,挖掘化探数据蕴含的成矿弱异常信息.首先利用人工免疫算法构建了地球化学数据降噪模型,对地球化学元素数据进行降噪处理,以此消除特高值带来的屏蔽及剔除假异常;然后,利用分形含量面积法确定地球化学单元素及元素组合的异常下限,再利用分形含量梯度法圈定异常浓集中心,进而确定异常分带性;最后,将元素分带特性研究与研究区地质特征相结合,对比单元素异常图及组合异常图,对研究区的地球化学元素作出异常分类和异常评价解释.划分的四个异常区域在后期的工程验证中取得了很好的效果.

英文摘要：

From the view of mathematical geology and geological statistics, the key of mineral resources forecasts is that applying the latest achievements of modern nonlinear science, to re-evaluate and explain the geochemical anomalies, and further excavate geochemical ore information contained in the data. The thesis of the study area is the Dong Gapu copper exploration area in Tibet. From quantitative evaluation method of Geochemical ore-forming anomaly, using a variety of modern mathematical methods and nonlinear analysis, excavate weak anomalies contains in geochemical data. First using artificial immune algorithm to construct a noise model of geochemical data to deal with geochemical elements data on noise reduction, in order to eliminate high-value brought by special shielding and removing false anomaly; Then, using the fractal content-area method to determine single-element geochemistry and elemental composition of the anomaly lower limit, re-use concentration gradient method of fractal to delineate abnormal concentration center and then to determine the abnormal zonation; Finally, with the combination of the research on the elemental characteristics of zonation and geological characteristics of the study area, comparing single-element anomaly maps with the composite anomaly map of the study area of the geochemical elements, to explain the anomaly classification and anomaly evaluation. Division of four anomalous areas achieved good results in the latter part of the validation project.