Innovative Strategies for Solid Waste Minimisation in the Mining and Minerals Industry
The mining and minerals industry has witnessed a significant increase in the generation of solid waste (e.g., mine tailings, coal gangue, coal fly ash, slag) as the industry has evolved. Due to the substantial potential for environmental harm, the management of solid waste remains one of the most ch...
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Առցանց հասանելիություն: | ONIX_20250220_9783725823574_235 |
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| collection | Directory of Open Access Books |
| description | The mining and minerals industry has witnessed a significant increase in the generation of solid waste (e.g., mine tailings, coal gangue, coal fly ash, slag) as the industry has evolved. Due to the substantial potential for environmental harm, the management of solid waste remains one of the most challenging issues facing the industry. The traditional methods employed in solid waste disposal, such as direct surface disposal, have numerous limitations, hindering their broader application. These limitations include the risk of storage facility failure, the use of land resources, and the potential for heavy metal contamination. Consequently, there is a pressing need for innovative strategies that minimize the generation of solid waste in the mining and minerals sector. Research efforts have aimed to enhance approaches to the minimization of waste minimization across various dimensions. While some studies focus on reducing the generation of waste at the source, others emphasize the development of novel recycling methods. This reprint highlights research related to the minimization of solid waste within the mining and minerals industry. It includes experimental investigations and machine learning-based predictive models that address various topics, such as the recovery of valuable components from copper slag, the recycling of solid waste and its use as a supplementary cementitious material, the reuse of solid waste in backfill applications, and the employment of advanced machine learning techniques to support waste minimization efforts. |
| format | Online |
| id | doab-20.500.12854ir-152871 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
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| spelling | doab-20.500.12854ir-1528712025-02-20T13:12:22Z Innovative Strategies for Solid Waste Minimisation in the Mining and Minerals Industry Qi, Chongchong Li, Guichen Basarir, Hakan Chen, Qiusong Sun, Yuantian sustainability solid waste minimization waste generations tailings management waste disposal heavy metals utilization co-recycling artificial intelligence thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology The mining and minerals industry has witnessed a significant increase in the generation of solid waste (e.g., mine tailings, coal gangue, coal fly ash, slag) as the industry has evolved. Due to the substantial potential for environmental harm, the management of solid waste remains one of the most challenging issues facing the industry. The traditional methods employed in solid waste disposal, such as direct surface disposal, have numerous limitations, hindering their broader application. These limitations include the risk of storage facility failure, the use of land resources, and the potential for heavy metal contamination. Consequently, there is a pressing need for innovative strategies that minimize the generation of solid waste in the mining and minerals sector. Research efforts have aimed to enhance approaches to the minimization of waste minimization across various dimensions. While some studies focus on reducing the generation of waste at the source, others emphasize the development of novel recycling methods. This reprint highlights research related to the minimization of solid waste within the mining and minerals industry. It includes experimental investigations and machine learning-based predictive models that address various topics, such as the recovery of valuable components from copper slag, the recycling of solid waste and its use as a supplementary cementitious material, the reuse of solid waste in backfill applications, and the employment of advanced machine learning techniques to support waste minimization efforts. 2025-02-20T13:12:18Z 2025-02-20T13:12:18Z 2024 book ONIX_20250220_9783725823574_235 9783725823574 9783725823581 https://directory.doabooks.org/handle/20.500.12854/152871 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10015 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2358-1 10.3390/books978-3-7258-2358-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725823574 9783725823581 174 Basel open access |
| spellingShingle | sustainability solid waste minimization waste generations tailings management waste disposal heavy metals utilization co-recycling artificial intelligence thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Innovative Strategies for Solid Waste Minimisation in the Mining and Minerals Industry |
| title | Innovative Strategies for Solid Waste Minimisation in the Mining and Minerals Industry |
| title_full | Innovative Strategies for Solid Waste Minimisation in the Mining and Minerals Industry |
| title_fullStr | Innovative Strategies for Solid Waste Minimisation in the Mining and Minerals Industry |
| title_full_unstemmed | Innovative Strategies for Solid Waste Minimisation in the Mining and Minerals Industry |
| title_short | Innovative Strategies for Solid Waste Minimisation in the Mining and Minerals Industry |
| title_sort | innovative strategies for solid waste minimisation in the mining and minerals industry |
| topic | sustainability solid waste minimization waste generations tailings management waste disposal heavy metals utilization co-recycling artificial intelligence thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | sustainability solid waste minimization waste generations tailings management waste disposal heavy metals utilization co-recycling artificial intelligence thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725823574_235 |