| 全国重要矿产预测评价 |
| |
| 引用本文： | 肖克炎,孙莉,阴江宁,丁建华,牛翠祎,陈建平,杨毅恒.全国重要矿产预测评价[J].地球学报,2014,35(5):543-551. |
| |
| 作者姓名： | 肖克炎 孙莉 阴江宁 丁建华 牛翠祎 陈建平 杨毅恒 |
| |
| 作者单位： | 中国地质科学院矿产资源研究所;中国地质科学院矿产资源研究所;中国地质科学院矿产资源研究所;中国地质科学院矿产资源研究所;中国地质科学院矿产资源研究所;中国地质科学院矿产资源研究所;中国地质科学院矿产资源研究所 |
| |
| 基金项目： | 中国地质调查局地质调查项目“全国重要矿种成矿区划部署研究”(编号: 12120114051501) |
| |
| 摘 要： | 全国重要矿产预测评价在借鉴国内外矿产预测经验基础上,运用成矿系列理论、成矿动力学理论和综合信息矿产定量预测理论为支撑的矿床模型综合地质信息矿产预测方法,以成矿系列矿产预测类型为纲,在系统编制建造构造预测底图的基础上,建立矿床综合信息预测模型。通过运用成矿地质体参数法,在矿产资源评价系统(MRAS)的辅助下,估算我国铁、铝、铜、铅、锌、金、锑、钨、锰、锡、钼、镍、银、稀土、铬铁矿、菱镁矿、锂、硼、硫、萤石、钾、重晶石、磷23种矿产地下2 km预测资源量,并在此基础上圈定全国层次的3级预测区。科学评价了我国矿产资源的潜力,为国家政府机构和矿产勘查机构提供技术支撑。
|
| 关 键 词： | 资源评价 矿床模型 成矿系列 定量预测 |
The Prediction and Assessment of Important Mineral Resources in China |
| |
| XIAO Ke-yan,SUN Li,YIN Jiang-ning,DING Jian-hu,NIU Cui-wei,CHEN Jian-ping and YANG Yi-heng.The Prediction and Assessment of Important Mineral Resources in China[J].Acta Geoscientia Sinica,2014,35(5):543-551. |
| |
| Authors: | XIAO Ke-yan SUN Li YIN Jiang-ning DING Jian-hu NIU Cui-wei CHEN Jian-ping and YANG Yi-heng |
| |
| Institution: | Institute of Mineral Resources, Chinese Academy of Geological Sciences;Institute of Mineral Resources, Chinese Academy of Geological Sciences;Institute of Mineral Resources, Chinese Academy of Geological Sciences;Institute of Mineral Resources, Chinese Academy of Geological Sciences;Institute of Mineral Resources, Chinese Academy of Geological Sciences;Institute of Mineral Resources, Chinese Academy of Geological Sciences;Institute of Mineral Resources, Chinese Academy of Geological Sciences |
| |
| Abstract: | The ore deposit modeling-synthetic geological information method was used in national important mineral potential assessment, which is supported by metallogenic series theory, mineralization kinetics theory and synthetic information mineral prediction theory and used both domestic and abroad experience on mineral prediction for reference. Taking the prediction type as the key link, the authors built the prediction model based on creating the tectonic and formation map. 25 types of mineral resources to the depth of 2 km were assessed with the ore-forming geological body parameter method based on mineralization assessment system(MRAS), which are Fe, Al, Cu, Pb, Zn, Au, Sb, W, Mn, Sn, Mo, Ni, Ag, REE, Cr, Magnesite, Li ,B, S, Fluorite, K, Barite and P. On such a basis, level 3 perspective areas in China were delineated. The mineralization potential was assessed scientifically, which provides technical support for both the government and the exploration organizations. |
| |
| Keywords: | resource evaluation ore deposit model metallogenic series of ore deposits quantitative prediction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《地球学报》浏览原始摘要信息 |
| 点击此处可从《地球学报》下载免费的PDF全文 |
|
