Machine learning models for occurrence form prediction of heavy metals in tailings

IF 2.7 3区工程技术 Q3 ENVIRONMENTAL SCIENCES

International Journal of Mining Reclamation and Environment Pub Date : 2023-07-04 DOI:10.1080/17480930.2023.2229689

Jiashuai Zheng, Mengting Wu, ZaherMundher Yaseen, Chongchong Qi

引用次数: 1

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尾矿中重金属赋存形态预测的机器学习模型

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来源期刊

International Journal of Mining Reclamation and Environment ENVIRONMENTAL SCIENCES-MINING & MINERAL PROCESSING

CiteScore

5.70

自引率

8.30%

发文量

审稿时长

>12 weeks

期刊介绍： The International Journal of Mining, Reclamation and Environment published research on mining and environmental technology engineering relating to metalliferous deposits, coal, oil sands, and industrial minerals. We welcome environmental mining research papers that explore: -Mining environmental impact assessment and permitting- Mining and processing technologies- Mining waste management and waste minimization practices in mining- Mine site closure- Mining decommissioning and reclamation- Acid mine drainage. The International Journal of Mining, Reclamation and Environment welcomes mining research papers that explore: -Design of surface and underground mines (economics, geotechnical, production scheduling, ventilation)- Mine planning and optimization- Mining geostatics- Mine drilling and blasting technologies- Mining material handling systems- Mine equipment