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Cormio C, Alonso M, Cleall P, Heuss-Assbichler S, Guglietta D, Sinnett D, Szabo K, Žibret G, Carvalho T, Kral U, Werner T, Lemiere B. Site-specific dataset of mining and metallurgical residues for resource management. Data Brief 2024; 54:110348. [PMID: 38586129 PMCID: PMC10997919 DOI: 10.1016/j.dib.2024.110348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/09/2024] Open
Abstract
This geospatial dataset provides a compilation of findings from an evidence-based review of site-specific resource assessments of mining and metallurgical residues. Information pertaining to location, target material, geological knowledge, extractability, resource classification and stakeholder perspectives was collected from publicly available reports, articles, academic theses, and databases. The dataset includes 44 relevant data attributes from 64 mining and metallurgical sites in 27 countries. Resource classification is available for 38 sites. The dataset can be used by evaluators of recovery projects, authorities that provide permits, as well as by decision makers in support of developing regulatory policies. The dataset facilitates future addition of sites by the research community and can be further used as a starting point to bridge the estimates on recoverable quantities to the United Nations Framework Classification (UNFC). The UNFC is a universally applicable scheme for the sustainable management of all energy, primary and secondary mineral resources. Its use is stimulated by the European Commission and is intended to be adopted by geological surveys to harmonize the data on the availability of primary and secondary raw materials in Europe in future.
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Affiliation(s)
- Carlo Cormio
- SERENGEO Srl, Via N. Sauro 22, Bologna, BO 40121, Italy
| | - Marta Alonso
- ICAMCyL Foundation, International Center for Advanced Materials and raw materials of Castilla y León, León Technology Park, Main Building, C/ Julia Morros s/n, First Floor, Offices 106-108, Armunia, León 24009, Spain
| | - Peter Cleall
- Geoenvironmental Research Centre, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK
| | - Soraya Heuss-Assbichler
- Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität München, Luisenstraße 37, 80333 Munich, Federal Republic of Germany
| | - Daniela Guglietta
- Institute of Environmental Geology and Geoengineering, National Research Council of Italy (CNR IGAG), Research Area of Rome 1, Rome 00010, Italy
| | - Danielle Sinnett
- Centre for Sustainable Planning and Environments, University of the West of England, Bristol BS16 1QY, UK
| | - Katalin Szabo
- Mining and Geological Survey of Hungary, Columbus u. 17-23., Budapest H-1145, Hungary
| | - Gorazd Žibret
- Geological Survey of Slovenia, Dimičeva ulica 14, Ljubljana SI - 1000, Slovenia
| | - Teresa Carvalho
- CERENA, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, Lisboa 1049-001, Portugal
| | - Ulrich Kral
- Technische Universität Wien, Karlsplatz 13, Vienna 1040, Austria
| | - Tim Werner
- School of Geography, Earth and Atmospheric Sciences, Faculty of Science, The University of Melbourne, 221 Bouverie Street, Carlton, Victoria, Australia
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Ciampi P, Esposito C, Bartsch E, Alesi EJ, Petrangeli Papini M. 3D dynamic model empowering the knowledge of the decontamination mechanisms and controlling the complex remediation strategy of a contaminated industrial site. Sci Total Environ 2021; 793:148649. [PMID: 34328981 DOI: 10.1016/j.scitotenv.2021.148649] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 06/04/2021] [Accepted: 06/20/2021] [Indexed: 06/13/2023]
Abstract
Knowledge of the geology and hydrogeology of the polluted site emblematize a key requirement for environmental remediation, through assembling and synthesizing findings from various sources of physical evidence. In an increasingly virtual era, digital and geo-referenced metadata may serve as tools for collecting, merging, matching, and understanding multi-source information. The main goal of this paper is to emphasize the significance of a 3D hydrogeochemical model to the portrayal and the understanding of contamination dynamics and decontamination mechanisms at a highly contaminated industrial site. Some remediation measures are active on-site, due to the evidence-based presence of chlorinated solvents in groundwater. These are attributable to a slow-release source of pollutants in the saturated zone associated with very low permeability sediments. Therefore, in this research, a new technique for the remediation of secondary sources of dense non-aqueous phase liquid (DNAPL) contamination was investigated for the first time on a full-scale application. The combination of groundwater circulation wells (IEG-GCW®) and a continuous electron donor production device was set up to boost in situ bioremediation (ISB). A multi-phase approach was followed handling and releasing data during various remediation stages, from site characterization via pilot testing to full-scale remediation, thus allowing users to monitor, analyze, and manipulate information in 3D space-time. Multi-source and multi-temporal scenarios reveal the impact of ongoing hydraulic dynamics and depict the decontamination mechanisms in response to the interventions implemented over time, by quantifying the overall performance of the adopted strategies in terms of removal of secondary sources of pollution still active at the site.
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Affiliation(s)
- Paolo Ciampi
- Department of Earth Sciences, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
| | - Carlo Esposito
- Department of Earth Sciences, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
| | - Ernst Bartsch
- IEG Technologie GmbH, Hohlbachweg 2, D-73344 Gruibingen, Baden-Württemberg, Germany.
| | - Eduard J Alesi
- IEG Technologie GmbH, Hohlbachweg 2, D-73344 Gruibingen, Baden-Württemberg, Germany.
| | - Marco Petrangeli Papini
- Department of Chemistry, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
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Kantsa A, Sotiropoulou S, Vaitis M, Petanidou T. Plant Volatilome in Greece: a Review on the Properties, Prospects, and Chemogeography. Chem Biodivers 2016; 12:1466-80. [PMID: 26460555 DOI: 10.1002/cbdv.201500171] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Indexed: 11/08/2022]
Abstract
Knowing plant volatile chemodiversity and its distribution is essential in order to study biological processes, to estimate the plants' value in use, and to establish sustainable exploitation practices. Yet, attempts to collect and assess data on scent diversity and properties in well-defined geographical areas are rare. Here, we developed a geo-referenced database of the plant volatilome in Greece by consolidating the results included in 116 research articles published in the last 25 years. The data set compiled includes 999 volatile organic compounds distributed into 178 plant taxa, 59 genera, and 19 families. Distillation is the acquisition method almost exclusively used, whereas headspace techniques that would allow the study of subtle ecological processes are generally lacking. Sesquiterpenes show the greatest richness of compounds, followed by monoterpenes and aliphatics. We assess the volatility of the compounds using the normal boiling point (nBP) as its reverse indicator, and we present the volatility spectra of the blends of the genera studied. Mean nBPs vary among genera, with maximal differences as wide as 118.4°. Finally, we feature basic chemodiversity maps for three aromatic plants, and discuss their importance and prospects as a special case of natural resources maps.
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Affiliation(s)
- Aphrodite Kantsa
- Laboratory of Biogeography & Ecology, Department of Geography, University of the Aegean, GR-81100, Mytilene, (phone: +30-22510-36423; fax: +30-22510-36423).
| | - Stavroula Sotiropoulou
- Laboratory of Biogeography & Ecology, Department of Geography, University of the Aegean, GR-81100, Mytilene, (phone: +30-22510-36423; fax: +30-22510-36423)
| | - Michail Vaitis
- Laboratory of Cartography & Geoinformatics, Department of Geography, University of the Aegean, GR-81100, Mytilene
| | - Theodora Petanidou
- Laboratory of Biogeography & Ecology, Department of Geography, University of the Aegean, GR-81100, Mytilene, (phone: +30-22510-36423; fax: +30-22510-36423)
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Vacca A, Loddo S, Melis MT, Funedda A, Puddu R, Verona M, Fanni S, Fantola F, Madrau S, Marrone VA, Serra G, Tore C, Manca D, Pasci S, Puddu MR, Schirru P. A GIS based method for soil mapping in Sardinia, Italy: a geomatic approach. J Environ Manage 2014; 138:87-96. [PMID: 24315681 DOI: 10.1016/j.jenvman.2013.11.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2012] [Revised: 10/29/2013] [Accepted: 11/14/2013] [Indexed: 06/02/2023]
Abstract
A new project was recently initiated for the realization of the "Land Unit and Soil Capability Map of Sardinia" at a scale of 1:50,000 to support land use planning. In this study, we outline the general structure of the project and the methods used in the activities that have been thus far conducted. A GIS approach was used. We used the soil-landscape paradigm for the prediction of soil classes and their spatial distribution or the prediction of soil properties based on landscape features. The work is divided into two main phases. In the first phase, the available digital data on land cover, geology and topography were processed and classified according to their influence on weathering processes and soil properties. The methods used in the interpretation are based on consolidated and generalized knowledge about the influence of geology, topography and land cover on soil properties. The existing soil data (areal and point data) were collected, reviewed, validated and standardized according to international and national guidelines. Point data considered to be usable were input into a specific database created for the project. Using expert interpretation, all digital data were merged to produce a first draft of the Land Unit Map. During the second phase, this map will be implemented with the existing soil data and verified in the field if also needed with new soil data collection, and the final Land Unit Map will be produced. The Land Unit and Soil Capability Map will be produced by classifying the land units using a reference matching table of land capability classes created for this project.
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Affiliation(s)
- A Vacca
- Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Via Trentino 51, 09127 Cagliari, Italy.
| | - S Loddo
- Agenzia AGRIS Sardegna, Viale Trieste 111, 09123 Cagliari, Italy
| | - M T Melis
- Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Via Trentino 51, 09127 Cagliari, Italy
| | - A Funedda
- Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Via Trentino 51, 09127 Cagliari, Italy
| | - R Puddu
- Agenzia AGRIS Sardegna, Viale Trieste 111, 09123 Cagliari, Italy
| | - M Verona
- Agenzia AGRIS Sardegna, Viale Trieste 111, 09123 Cagliari, Italy
| | - S Fanni
- Agenzia AGRIS Sardegna, Viale Trieste 111, 09123 Cagliari, Italy
| | - F Fantola
- Agenzia LAORE Sardegna, Via Caprera 8, 09123 Cagliari, Italy
| | - S Madrau
- Dipartimento di Ingegneria del Territorio, Università degli Studi di Sassari, Viale Italia 39, 07100 Sassari, Italy
| | - V A Marrone
- Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Via Trentino 51, 09127 Cagliari, Italy
| | - G Serra
- Agenzia AGRIS Sardegna, Viale Trieste 111, 09123 Cagliari, Italy
| | - C Tore
- Agenzia LAORE Sardegna, Via Caprera 8, 09123 Cagliari, Italy
| | - D Manca
- Agenzia AGRIS Sardegna, Viale Trieste 111, 09123 Cagliari, Italy
| | - S Pasci
- Dipartimento di Scienze Chimiche e Geologiche, Università degli Studi di Cagliari, Via Trentino 51, 09127 Cagliari, Italy
| | - M R Puddu
- Agenzia LAORE Sardegna, Via Caprera 8, 09123 Cagliari, Italy
| | - P Schirru
- Agenzia LAORE Sardegna, Via Caprera 8, 09123 Cagliari, Italy
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