西昆仑铀成矿远景带多因子融合预测方法研究  

Study on Multi Factor Fusion Prediction Method for Uranium Prospects in West Kunlun Mountains

作　　者：车永飞[1] 张元涛 张明林 蔡煜琦[3] 何德宝[3] 潘蔚[1] 夏宗强[3] CHE Yongfei;ZHANG Yuantao;ZHANG Minglin;CAI Yuqi;HE Debao;PAN Wei;XIA Zongqiang(National Key Laboratory of Remote Sensing Information and Image Analysis Technology,Beijing Research Institute of Uranium Geology,Beijing 100029,China;China National Uranium Co.Ltd.,Beijing 100013,China;CNNC Key Laboratory of Uranium Resources Exploration and Evaluation Technology,Beijing Research Institute of Uranium Geology,Beijing 100029,China)

机构地区：[1]核工业北京地质研究院、遥感信息与图像分析技术国家级重点实验室,北京100029 [2]中国铀业有限公司,北京100013 [3]核工业北京地质研究院、中核集团铀资源勘查与评价技术重点实验室,北京100029

出　　处：《世界核地质科学》2023年第1期68-80,共13页World Nuclear Geoscience

基　　金：中国核工业地质局“中国铀成矿区划及找矿战略部署研究”项目(编号:202143-5)资助。

摘　　要：西昆仑铀成矿远景带铀矿地质工作程度总体较低,铀矿找矿工作进展缓慢,急需一种快速、高效缩小铀成矿有利区范围的找矿技术方法。以西昆仑铀成矿远景带为研究区,基于遥感(RS)和地理信息系统技术(GIS),挖掘出该区各种与铀成矿有关的多源信息(地质、航磁、地球化学和遥感等),优选地质断裂、富铀岩体、铀异常点、遥感解译断裂、铁染蚀变、羟基蚀变、航磁推断侵入体、航磁推断断裂、地球化学氧化钾异常及地球化学铀元素异常等10个与花岗岩型铀成矿关系密切的预测因子,对其进行矢量转栅格、多重缓冲区分析及再分类等预处理;其次,基于层次分析法,通过构建层次结构模型及判断矩阵,计算各预测因子对目标层的权重系数;最后,基于GIS平台对预处理后的10个预测因子与确定的权重信息进行整合与计算处理,优选出3片铀成矿远景区。结果表明:基于RS和GIS技术的多源信息铀成矿预测能够快速高效预测铀成矿远景区,可为下一步铀矿找矿工作部署提供依据。Due to the low level geology study in west Kunlun uranium metallogenic prospect,uranium exploration is difficult to put forward.A fast and efficient prospecting technology is urgently needed to rapidly locate and target the favorable uranium metallogenic areas.Based on RS GIS technology,multisource information(geology,aeromagnetism,geochemistry,remote sensing,etc.)was used to extract factors related to uranium mineralization,including the geological fractures,uranium rich plutons,uranium anomaly,RS interpreted structures,iron stained alterations,hydroxyl alterations,inferred aeromagnetic intrusions,geochemical potassium and uranium anomaly.These ten factors were used as the prediction indicator for granite type uranium mineralization,preprocessed by vector transformation grid and multiple buffer zone analysis and reclassification.Then,the Analytic Hierarchy Process(AHP)was used to construct the hierarchical structure model and judgment matrix and calculate the weight coefficient of each prediction factor for the target layer;finally,the ten preprocessed prediction factors and the determined weight information were integrated and calculated to optimize the uranium mineralization prospect.The results show that the multi-source information uranium mineralization prediction based on RS and GIS technology can rapidly and efficiently predict the uranium mineralization prospect area,which can provide a basis for the next step of uranium prospecting work deployment.

关 键 词：遥感技术 多源地学信息 层次分析法 预测因子 铀成矿远景区 

分 类 号：P627[天文地球—地质矿产勘探] TP79[天文地球—地质学]