International trends in mining tailings publications: A descriptive bibliometric study
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DOI: 10.1016/j.resourpol.2021.102272
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References listed on IDEAS
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- Carlos Cacciuttolo & Deyvis Cano, 2023. "Spatial and Temporal Study of Supernatant Process Water Pond in Tailings Storage Facilities: Use of Remote Sensing Techniques for Preventing Mine Tailings Dam Failures," Sustainability, MDPI, vol. 15(6), pages 1-32, March.
- Fernando Morante-Carballo & Néstor Montalván-Burbano & Maribel Aguilar-Aguilar & Paúl Carrión-Mero, 2022. "A Bibliometric Analysis of the Scientific Research on Artisanal and Small-Scale Mining," IJERPH, MDPI, vol. 19(13), pages 1-29, July.
- Pandey, Dharen Kumar & Hunjra, Ahmed Imran & Bhaskar, Ratikant & Al-Faryan, Mamdouh Abdulaziz Saleh, 2023. "Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022," Resources Policy, Elsevier, vol. 86(PA).
- Ioana Andreea Petrean & Valer Micle & Marin Șenilă, 2023. "Investigation of Sterile Mining Dumps Resulting from Ore Exploitation and Processing in Maramures County, Romania," Land, MDPI, vol. 12(2), pages 1-21, February.
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Keywords
Mining tailings; Bibliometric analysis; Environmental and earth sciences; Engineering; Social sciences;All these keywords.
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