| 李占春,李庆,任锦荣,张振强,于明旭.利用二元对数正态丰度模型预测铀资源总量[J].矿产勘查,2020,11(6):1191-1196 |
| 利用二元对数正态丰度模型预测铀资源总量 |
| Application of binary logarithmic normal distribution model of crustal element abundance in prediction of total uranium resource |
| 投稿时间：2019-07-29 |
| DOI： |
| 中文关键词: 二元对数正态分布 地壳丰度 模型 铀资源量预测 |
| 英文关键词: binary logarithmic normal distribution, crustal element abundance, model, prediction of uranium resource |
| 基金项目:中国核工业地质局项目(编号:202001)资助。 |
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| 摘要点击次数: 1656 |
| 全文下载次数: 49 |
| 中文摘要: |
| 对某地区铀资源快速客观地进行预测可以有效指导铀找矿部署。二元对数正态分布地壳丰度统计学模型法是其方法之一,基于地质学假设和统计学2个基本假设。受地质人员人为影响因素小,对预测区的地质条件要件要求不高,将成本函数与矿床的品位、吨位联系在一起,预测结果更有意义。采用计算机程序编程(C语言),通过输入相关参数(平均品位、规模、地壳丰度及成本参数)可以快速预测出某地区铀资源总量。通过对全美及非洲大陆铀资源进行试算,预测结果与2017年红皮书公布值对比,二者结果非接近。研究表明该方法预测结果较为可靠,且速度快、成本低,值得进一步推广应用。 |
| 英文摘要: |
| Quick and accurate uranium resource evaluation prediction in designated area is beneficial to guide uranium exploration strategic planning . Binary logarithmic normal distribution model is a very important method ,which relies on two basic assumptions of geological assumption and statistical assumption. It is less affected by human factors of geologists and does not need too high-level geological conditions. The cost parameters connect mining cost with grade and ore. The prediction results have more significance. A software is programmed with Microsoft Visual C.The predication result of uranium resource can be calculated quickly by inputting average grade, bulk, crust abundance and cost preference. By tentatively calculating uranium resources of Africa and American continents with computer software, the results of predicted uranium are in accordance with that from 2017 red book. The predication model has advantages of reliability speediness, low cost, and the method is deserved to be popularized. |
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