Article (Scientific journals)
Integrated methodology to link geochemical and geophysical-lab data in a geophysical investigation of a slag heap for resource quantification.
Isunza Manrique, Itzel; Hermans, Thomas; Caterina, David et al.
2023In Journal of Environmental Management, 349, p. 119366
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Keywords :
Electrical resistivity tomography; Geochemical analysis; Geophysics; Induced polarization; Metallurgical residues; Resource-recovery; Field data; Geochemicals; Geophysical data; Laboratory measurements; Metallurgical residue; Resource recovery; Uncertainty; Environmental Engineering; Waste Management and Disposal; Management, Monitoring, Policy and Law; General Medicine
Abstract :
[en] The increasing need to find alternative stocks of critical raw materials drives to revisit the residues generated during the former production of mineral and metallic raw materials. Geophysical methods contribute to the sustainable characterization of metallurgical residues inferring on their composition, zonation and volume(s) estimation. Nevertheless, more quantitative approaches are needed to link geochemical or mineralogical analyses with the geophysical data. In this contribution, we describe a methodology that integrates geochemical and geophysical laboratory measurements to interpret geophysical field data solving a classification problem. The final aim is to estimate volume(s) of different types of materials to assess the potential resource recovery. We illustrate this methodology with a slag heap composed of residues from a former iron and steel factory. First, we carried out a 3D field acquisition using electrical resistivity tomography (ERT) and induced polarization (IP), based on which, a sampling survey was designed. We conducted laboratory measurements of ERT, IP, spectral induced polarization (SIP), and X-ray fluorescence analysis, based on which, 4 groups of different chemical composition were identified. Then we carried out a 3D probabilistic classification of the field data, based on 2D kernel density estimators (for each group) fitted to the inverted data collocated with the samples. The estimated volumes based on the classification model were: 4.17 × 10^3 m3 ± 12 %, 1.888 × 10^5 m3 ± 12 %, 59.4 × 10^3 m3 ± 19 %, and 2.30 × 10^4 m3 ± 21% for the groups ordered with an increasing metallic content. The uncertainty ranges were derived from comparing the volumes with and without considering the probabilities associated to the classification. We found that a representative sampling and the definition of the KDE bandwidths are defining elements in the classification and ultimately the estimation of volumes. This methodology is suitable to quantitatively interpret geophysical data in terms of the geochemical composition of the materials, integrating uncertainties both in the classification and the estimation of volumes. Furthermore, several crucial elements in the investigation of metallurgical residues could be applied in a real case study, e.g., geophysical field acquisition, sampling and lab measurements.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Isunza Manrique, Itzel  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Hermans, Thomas ;  Department of Geology (WE13), Ghent University, Campus Sterre, S8, Krijgslaan 281, B-9000, Gent, Belgium
Caterina, David  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Jougnot, Damien ;  UMR 7619 METIS, Sorbonne Université, 4 place Jussieu, 75252, Paris, France
Mignon, Benoît;  Centre Technologique International de la Terre et de la Pierre, 55 Chaussée d'Antoing, Tournai, 7500, Belgium
Masse, Antoine;  Centre Technologique International de la Terre et de la Pierre, 55 Chaussée d'Antoing, Tournai, 7500, Belgium
Nguyen, Frédéric ;  Université de Liège - ULiège > Département ArGEnCo > Géophysique appliquée
Language :
English
Title :
Integrated methodology to link geochemical and geophysical-lab data in a geophysical investigation of a slag heap for resource quantification.
Publication date :
25 October 2023
Journal title :
Journal of Environmental Management
ISSN :
0301-4797
eISSN :
1095-8630
Publisher :
Academic Press, England
Volume :
349
Pages :
119366
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
This work has been financed by the European Union's program of Interreg Norh-West Europe and the Wallon Region within the framework of the multidisciplinary project of NWE-REGENERATIS . We thank all project partners and group Duferco Wallonie.
Available on ORBi :
since 09 November 2023

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