| 张会琼,刘金辉,王京彬,窦金龙.基于抽样地质统计学的矿渣资源评价[J].矿产勘查,2020,11(11):2478-2483 |
| 基于抽样地质统计学的矿渣资源评价 |
| Quantitative evaluation of waste dump resources based on geostatisties of sampling |
| 投稿时间：2020-06-24 |
| DOI： |
| 中文关键词: 金矿 矿渣堆 定量评价 抽样地质统计学 平均品位误差 甘肃 |
| 英文关键词: gold deposit, slag heap, quantitative evaluation, sampling geostatistics, average grade error, Gansu Province |
| 基金项目:国家有色地质数据库建设与共享项目(编号:中地调研合同[2019]第398号)资助。 |
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| 摘要点击次数: 1926 |
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| 中文摘要: |
| 长期以来,对于矿渣的研究主要集中在矿渣堆场重金属对环境影响方面,以及矿渣堆中重金属成分富集、迁移以及污染修复等问题上,而关于矿渣堆中的有用组分资源的评价少有研究。本文在甘肃北部某矿床分布的大量金矿矿渣堆中选取了4#、5#和6# 3个矿渣堆为调查对象,基于抽样地质统计学方法,研究其中有用组分金的品位分布特征和规律,并探讨其平均品位误差范围应用其定量分级。将4#和5#矿渣堆资源划分为333级别资源,Au平均品位分别为1.37 g/t 和1.28 g/t,6#矿渣资源划分为332资源,金平均品位为1.25 g/t。研究表明抽样统计学方法可以为遗留的大量矿渣堆的资源评价提供科学依据,同时也为绿色矿山评价提供了科学支撑。 |
| 英文摘要: |
| For a long time, the research on slag heap mainly focuses on the environmental impact of heavy metals in slag yard, and the enrichment, migration and pollution remediation of heavy metals in slag heap, while there are few studies on the evaluation of useful components in slag heap. In this paper, the NO.4、NO.5 and NO.6 slag heap of a gold ore which has a lot of slag heaps in the north of Gansu Province were selected as the investigation objects. Based on the sampling geostatistics method, the grade distribution characteristics and rules of the useful components gold were studied, and the average grade error range was discussed, and its quantitative classification was applied. The NO.4 and NO.5 slag heap resources are divided into 333 grade resources, with average Au grade of 1.37g/t and 1.28g/t, The NO.6 slag resources are divided into 332 resources and the average gold grade is 1.25g/t. The results show that the sampling statistics method can provide a scientific basis for the resource evaluation of a large number of slag piles left over, and also provide a comprehensive scientific support for the evaluation of green mines. |
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