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      Monitoring and prediction of dust concentration in an open-pit mine using a deep-learning algorithm.

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          Abstract

          Dust pollution is currently one of the most serious environmental problems faced by open-pit mines. Compared with underground mining, open-pit mining has many dust sources, and a wide area of influence and complicated changes in meteorological conditions can result in great variations in dust concentration. Therefore, the prediction of dust concentrations in open-pit mines requires research and is of great significance for reducing environmental pollution and personal health hazards.

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          Author and article information

          Journal
          J Environ Health Sci Eng
          Journal of environmental health science & engineering
          Springer Science and Business Media LLC
          2052-336X
          Jun 2021
          : 19
          : 1
          Affiliations
          [1 ] School of Energy and Mining Engineering, China University of Mining & Technology (Beijing), Beijing, 100083 China.
          [2 ] School of Safety Engineering, North China Institute of Science and Technology, Sanhe, 065201 Hebei China.
          Article
          613
          10.1007/s40201-021-00613-0
          8172817
          34150244
          26475583-86e3-44da-bf45-89438309b4f0
          History

          Deep learning,Dust monitoring,Inversion layer,LSTM-attention,Open-pit mine,TSP prediction

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