Green transition in mining and AI methodological support in environmental restoration

Abstract

The transition to green energy and sustainable operations poses a key challenge for the mining industry, which has traditionally been known for its negative environmental impact. This manuscript researches the concept of the "green transition" in mining, focusing on the application of artificial intelligence (AI) in methodological support for environmental restoration. The aim is to identify and analyze technological and methodological innovations that can facilitate the shift of mining operations towards more environmentally sustainable practices. The current challenges in the mining industry are analyzed, including carbon dioxide emissions, water pollution, and land degradation. Successful green transition projects in mining are presented, highlighting how the use of renewable energy sources and material recycling can reduce the environmental footprint of mining activities. The role of artificial intelligence in supporting these efforts is important. AI technologies, including machine learning and data analytics, can significantly enhance environmental monitoring and management processes. Specific examples of AI applications in predicting environmental risks are presented, optimizing resource use, and developing strategies for ecosystem restoration. AI algorithms enable more precise and efficient pollution monitoring, identification of optimal restoration sites, and assessment of the long-term effects of mining activities on the environment. Integration of AI into the mining industry can not only improve environmental performance but also contribute to economic benefits through cost reduction and increased efficiency. This paper emphasizes the need for an interdisciplinary approach that includes collaboration between managers, engineers, ecologists, and AI experts to achieve sustainable development goals. Further research and investment in these areas are crucial for the successful green transition of the mining industry and the long-term preservation of the environment. This research contributes to the understanding of the potential of green transition in mining and the role of AI in achieving sustainable environmental solutions, providing a foundation for future studies and practical applications.