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  • 1
    Publication Date: 2023-07-21
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Governments commit to ensuring the welfare of their citizens by drafting and enforcing regulations that ultimately ensure the sustainability of mining. This study contributes to improving the sustainability of mining throughout the mine's lifecycle until the final destination of the mining products. We propose recommendations that address the sustainability of mining from a global perspective, framed around the United Nations Sustainable Development Goals (SDGs), following waste hierarchy with Common Agricultural Policies, and policies from the Green Deal on climate, energy, transport, and taxation. Tailings are the most significant source of environmental impact in mining operations and, therefore, must comply with controlling regulations through Tailings Management Facilities (TMFs). However, there have been several mining accidents involving TMFs worldwide. The recommendations begin during planning, preconstruction, and construction with practices such as fair consultations, tax revenue fairness, and mandatory insurance. The operation and management support parallel industries to mining and supporting health and education. Emergency planning involves the surrounding communities in mock drills and environmental monitoring. In the closure and rehabilitation, remediation technologies such as phytoremediation, carbon sequestration incentives, and biomass valorization are recommended. Finally, supporting a circular economy by prioritizing ethical consumption, resource reduction, material recovery, and replacing toxic minerals and materials from the start with “benign by design” is recommended. The strategies involve stakeholders directly or indirectly related to the mining companies' contamination and demonstrate a commitment to the SDGs, offering a holistic perspective on scientific, social, and regulatory issues. 〈italic〉Integr Environ Assess Manag〈/italic〉 2023;19:949–960. © 2023 The Authors. 〈italic〉Integrated Environmental Assessment and Management〈/italic〉 published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).〈/p〉
    Description: Key Points:This study addresses the sustainability of mining, to be implemented throughout the life cycle of a mine until the final destination of the products from mining. Policymakers should prioritize the implementation of sustainable mining practices that align with the Sustainable Development Goals, waste hierarchy, and policies from the Green Deal to ensure the long‐term viability of the industry and protect the environment and communities. We make recommendations that address the whole mining process, offering a holistic perspective on scientific, social, and regulatory issues.
    Description: https://doi.org/10.6084/m9.figshare.19401011.v5
    Keywords: ddc:622 ; Biomass valorization ; Community involvement ; Mining ; Risk management ; Tailing Mining Facilities
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2023-03-03
    Keywords: 64PE391; CDRILL; Core drilling; Density, wet bulk; DEPTH, sediment/rock; Nyegga_background_core; Pelagia; Porosity, fractional; Resistivity, electrical; Section; Section position; Susceptibility, specific; Velocity, compressional wave
    Type: Dataset
    Format: text/tab-separated-values, 4649 data points
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  • 3
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    PANGAEA
    In:  Supplement to: Attias, Eric; Amalokwu, Kelvin; Watts, Millie; Falcon-Suarez, Ismael Himar; North, Laurence J; Hu, Gao Wei; Best, Angus I; Weitemeyer, Karen; Minshull, Tim A (2020): Gas hydrate quantification at a pockmark offshore Norway from joint effective medium modelling of resistivity and seismic velocity. Marine and Petroleum Geology, 113, 104151, https://doi.org/10.1016/j.marpetgeo.2019.104151
    Publication Date: 2023-01-13
    Description: Methane emissions from gas hydrate deposits along continental margins may alter the biogeophysical properties of marine environments, both on local and regional scales. The saturation of a gas hydrate deposit is commonly calculated using the elastic or electrical properties measured remotely or in-situ at the site of interest. Here, we used a combination of controlled-source electromagnetic (CSEM), seismic and sediment core data obtained in the Nyegga region, offshore Norway, in a joint elastic-electrical approach to quantify marine gas hydrates found within the CNE03 pockmark. Multiscale analysis of two sediment cores reveals significant differences between the CNE03 pockmark and a reference site located approximately 150 m northwest of CNE03. Gas hydrates and chemosynthetic bivalves were observed in the CNE03 sediments collected. The seismic velocity and electrical resistivity measured in the CNE03 sediment core are consistent with the P-wave velocity (VP ) and resistivity values derived from seismic and CSEM remote sensing datasets, respectively. The VP gradually increases (~1.75–1.9 km/s) with depth within the CNE03 pipe-like structure, whereas the resistivity anomaly remains 3 m. A joint interpretation of the collocated seismic and CSEM data using a joint elastic-electrical effective medium model suggests that for the porosity range 0.55–0.65, the gas hydrate saturation within the CNE03 hydrate stability zone varies with depth between ~20 and 48%. At 0.6 porosity, the hydrate saturation within CNE03 varies between 23 and 37%, whereas the weighted mean saturation is ~30%. Our results demonstrate that a well-constrained gas hydrate quantification can be accomplished by coupling P-wave velocity and CSEM resistivity data through joint elastic-electrical effective medium modelling. The approach applied in this study can be used as a framework to quantify hydrate in various marine sediments.
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 4
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-02-07
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; LAGUNA; Laguna Grande, Spain; LIVB; Livingstone borer
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 5
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-02-07
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Lithology/composition/facies; LIVC; Livingstone corer; SANABRIA; Sanabria Marsh, Spain
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
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  • 6
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-02-08
    Keywords: boring1; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Lago Grande di Monticchio, Italy; Lithology/composition/facies; LIVB; Livingstone borer; MONT82
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 7
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-02-08
    Keywords: Density, dry bulk; DEPTH, sediment/rock; LAGOAJO; Lago de Ajo, Spain; LIVC; Livingstone corer; Loss on ignition; Muffel furnace, 800 °C, LOI
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
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  • 8
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-02-08
    Keywords: DEPTH, sediment/rock; LIVC; Livingstone corer; Loss on ignition; Muffel furnace, 1000 °C, LOI; Muffel furnace, 500 °C, LOI; SANABRIA; Sanabria Marsh, Spain
    Type: Dataset
    Format: text/tab-separated-values, 92 data points
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  • 9
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-02-08
    Keywords: Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; LAGOAJO; Lago de Ajo, Spain; Lithology/composition/facies; LIVC; Livingstone corer
    Type: Dataset
    Format: text/tab-separated-values, 129 data points
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  • 10
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    Unknown
    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2023-02-23
    Keywords: Age, dated; Age, dated, error to older; Age, dated, error to younger; Age, dated material; Age, radiocarbon; DEPTH, sediment/rock; LAGOAJO; Lago de Ajo, Spain; LIVC; Livingstone corer; Sample, optional label/labor no; Thickness
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
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