Deep sea mining for renewable technologies: a case study for using Big Data
dc.contributor.author | Crabbe, M. James C. | |
dc.date.accessioned | 2023-01-13T09:19:03Z | |
dc.date.available | 2023-10-18T00:00:00Z | |
dc.date.available | 2023-01-13T09:19:03Z | |
dc.date.issued | 2022-10-18 | |
dc.identifier.citation | Crabbe MJC (2022) 'Deep sea mining for renewable technologies: a case study for using Big Data', International Journal of Big Data Mining for Global Warming, 4 (1), .2272001. | en_US |
dc.identifier.issn | 2630-5348 | |
dc.identifier.doi | 10.1142/S2630534822720019 | |
dc.identifier.uri | http://hdl.handle.net/10547/625624 | |
dc.description.abstract | Depleting terrestrial deposits and rising demand for metals in this time of climate change are stimulating interest in the deep sea — the area of the ocean below 200m — with commercial mining of mineral deposits imminent. Environmental impact assessments, effective regulation and mitigation strategies are needed to limit the impacts of deep-sea mining. This is a potential catastrophe for marine biodiversity, and use of Big Data will be needed to follow mining activities as well as chart impacts on known and unknown marine species and their habitats. | en_US |
dc.description.sponsorship | None | en_US |
dc.language.iso | en | en_US |
dc.publisher | World Scientific Publishing Company | en_US |
dc.relation.url | https://www.worldscientific.com/doi/abs/10.1142/S2630534822720019 | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | marine protected areas | en_US |
dc.subject | marine | en_US |
dc.subject | Subject Categories::H223 Environmental Impact Assessment | en_US |
dc.title | Deep sea mining for renewable technologies: a case study for using Big Data | en_US |
dc.type | Article | en_US |
dc.contributor.department | Oxford University | en_US |
dc.contributor.department | University of Bedfordshire | en_US |
dc.contributor.department | Shanxi University | en_US |
dc.identifier.journal | International Journal of Big Data Mining for Global Warming | en_US |
dc.date.updated | 2023-01-13T09:16:07Z | |
dc.description.note | cannot archive final published version as publisher does not permit but could use accepted version (journal not in Sherpa Romeo but publisher policy at https://europe.worldscientific.com/open-access.shtml - 12m embargo) researcher contacted 9/1/23 RVO - file supplied |