Improvements to mine drainage prediction for CND and REE/Li-bearing mine wastes

CND 和含 REE/Li 矿山废物的矿山排水预测的改进

• 批准号: RGPIN-2017-05177
• 负责人: Plante, Benoît
• 金额: $ 1.6万
• 依托单位: Université du Québec en Abitibi-Témiscamingue
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634029
• 关键词: Improvements; mine; drainage; prediction; CND

One of the most serious environmental issues facing the mining industry worldwide is the contamination of drainage waters from tailings ponds and waste rock piles. Such contamination may occur when sulfide minerals in the mine wastes oxidize and generate contaminants in the drainage waters, leading to acid mine drainage (AMD) in acidic waters or to contaminated neutral drainage (CND) in near-neutral waters. The successful management and reclamation of potentially harmful wastes greatly depends on the use of predictive tests to determine the potential occurrence of contaminated mine drainage. These tests must be as accurate and representative as possible to ensure that environmental degradation by AMD or CND can be effectively and efficiently avoided or mitigated. The interpretation of these predictive tests requires an extensive knowledge of the composition of the studied materials, as well as of the different geochemical and microbiological mechanisms controlling the release of contaminants from mine wastes. This is especially critical for the emerging commodities of rare earth elements (REE) and lithium (Li), as well as mines in the Arctic.

全球采矿业面临的最严重的环境问题之一是污染尾矿池塘和废岩堆的排水水。当矿山中的硫化物矿物质氧化并在排水水中产生污染物时，可能会发生这种污染，从而导致酸性水域中的酸性矿山排水（AMD）或在近乎中性水中污染的中性排水（CND）。成功管理和填海可能有害废物在很大程度上取决于使用预测测试来确定受污染的矿山排水的可能发生。这些测试必须尽可能准确和代表性，以确保可以有效地避免或减轻AMD或CND的环境降解。这些预测测试的解释需要广泛了解所研究材料的组成以及控制污染物从矿山废物中释放的不同地球化学和微生物机制。这对于稀土元素（REE）和锂（Li）以及北极地区的新兴商品尤其重要。