Applied sciences

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

Description

Gospodarka Surowcami Mineralnymi – Mineral Resources Management is a journal of the MEERI PAS and the Committee for Sustainable Mineral Resources Management of the Polish Academy of Sciences. The journal has been published continuously since 1985. It is one of the leading journals in the Polish market, publishing original scientific papers by Polish and foreign authors in the field broadly understood as the management of mineral resources. Articles are published in English. All articles are reviewed by at least two independent reviewers (the Editorial Board selects articles according to the “double-blind review” principle).

Journal Metrics:

IMPACT FACTOR 2024: 0.8

CiteScore 2024: 2.0

SCImago Journal Rank (SJR) 2024: 0.313

Source Normalized Impact per Paper (SNIP) 2024: 0.470

ISSN

ISSN 0860-0953, eISSN 2299-2324

Publishers

Polska Akademia Nauk, Wydział IV Nauk Technicznych, Instytut Gospodarki Surowcami Mineralnymi i Energią

EDITORIAL BOARD (KOLEGIUM REDAKCYJNE)

Editor in Chief: Krzysztof Galos

Deputy Editor in Chief: Alicja Kot-Niewiadomska (section: Mineral and energy economy)

Eugeniusz Mokrzycki (section: Energy and mineral resources)

Editorial Secretary: Magdalena Wdowin (section: Mineralogy)

Section Editor: Eugeniusz Jacek Sobczyk (section: Mining)

Marzena Smol-Aruszanjan (section: Environmental engineering and circular economy)

Statistic Editor: Dominik GaLIcA

ADVISORY EDITORIAL BOARD (RADA REDAKCYJNA)

Mattias Bäckström – Örebro University, Örebro, Sweden

Dennis L. Buchanan – Imperial College of Science, Technology and Medicine, London, United Kingdom

Juris Burlakovs – Riga Technical University, Latvia

Michal Cehlár – Technical University of Košice, Slovak Republic

Józef Dubiński – The Central Mining Institute, Katowice, Poland

Magnus Ericsson – Luleå University of Technology, Luleå, Sweden

Jakub Jirasek – The Technical University of Ostrava, Czech Republic

Izabela Jonek-Kowalska – Silesian University of Technology, Poland

Anna Maroušková – University of South Bohemia in České Budějovice, Czech Republic

Antonio Mateus – Universidade de Lisboa, Lisbon, Portugal

Nicholas M. Musyoka – University of Nottingham Ningbo, China

Marek Nieć – MEERI PAS, Kraków, Poland

Czesława Rosik-Dulewska – Institute of Environmental Engineering, Polish Academy of Sciences

Vladimir Simić – University of Belgrade, Serbia

Anton Sroka – University of Resources, Freiberg, Germany

Krzysztof Szamałek – The University of Warsaw, Poland

Günter Tiess – MinPol GmbH, Dreistetten, Austria

Peter Uhlík – Comenius University Bratislava, Slovakia

EDITORIAL COMMITTEE (KOMITET WYDAWNICZY)

Publications Editor: Małgorzata Olszewska – linguistic editor (English and Polish)
Technical Editor: Barbara Sudoł

WYDAWCY

Polska Akademia Nauk

Wydział IV Nauk Technicznych

Instytut Gospodarki Surowcami Mineralnymi i Energią

Mineral and Energy Economy Research Institute of the Polish Academy of
Sciences J. Wybickiego 7A, 31-261 Kraków,
Phone: (+48) 12 632 33-00, Fax: +48 12 632 35-24
Email: gsm@min-pan.krakow.pl

Gospodarka Surowcami Mineralnymi - Mineral Resources Management is an open access journal with all content available with no charge in full text version.

The journal content is available under the license CC BY-SA 4.0. https://creativecommons.org/licenses/by-sa/4.0/

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Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2026 | vol. 42 | No 1

1 A review of the sustainable contributions of the use of some mine wastes in soil improvement and as fertilizer in agriculture

Taşkın Deniz Yıldız

Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2026 | vol. 42 | No 1 | 5–44 | DOI: 10.24425/gsm.2026.158271

Keywords: agriculture use natural soil fertilizers organic fertilizer mine soil sustainable agriculture

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Abstract

Mining wastes pose environmental risks. Additionally, storage & disposal costs of waste are high. Studies on the utilization of mine wastes in soil improvement and agriculture can significantly contribute to reducing the environmental risks and the feasible utilization of these wastes. Considering the latest developments in the literature, the number of published review articles on the use of mine wastes in soil improvement and as fertilizer in agriculture is extremely limited. Taking into consideration this deficiency in the literature, this study reviewed the sustainable contributions of the use of zeolite wastes, sulfur wastes, dunite wastes, serpentinite wastes, nickel mining wastes, boron wastes, and perlite wastes in soil improvement and as fertilizers in agriculture. In this evaluation, it was determined which of the selected mine wastes contributed to the sustainable criteria corresponding to the codes created. In this way, it was aimed to contribute to the sustainable, environmentally friendly, and feasible use of mine wastes and to raise awareness for all stakeholders. The results of this study can guide guidance to R&D organizations and recycling businesses considering financing the use of these mine wastes in soil improvement and agriculture as fertilizer in the future. It is also a guide for other stakeholders considering the use of these mine wastes in soil improvement and agriculture as fertilizer in specific regions, considering contributions to sustainability criteria.

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Authors and Affiliations

Taşkın Deniz Yıldız

e-mail:

ORCID:

Adana Alparslan Türkeş Science and Technology University, Department of Mining Engineering, Turkey

2 Ore crushing position study method based on stacked ore point cloud instance segmentation

Lirong Yang , Xiaolong Zhu , Zhiwen Huang , Chong Cao

Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2026 | vol. 42 | No 1 | 45–68 | DOI: 10.24425/gsm.2026.158279

Keywords: stacked ores instance segmentation hypervoxel clustering crushing pose

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Abstract

To address the technical challenges in industrial applications involving stacked ores – particularly the difficulties in distinguishing individual particles resulting from mutual occlusion and geometric irregularities, and the limitations of conventional approaches in precisely determining optimal crushing positions – this study develops a multimodal feature fusion framework integrating ore segmentation with intelligent crushing position determination. Instance Segmentation Level: a hierarchical segmentation framework is constructed by integrating super-voxel clustering with 3D point cloud surface concavity-convexity analysis. To address edge segmentation optimization, a curvature-constrained region growing algorithm is introduced. Furthermore, an adhesion-aware concavity-convexity evaluation function is established to achieve precise separation of adherent ores, effectively mitigating the over-segmentation issues inherent in traditional Euclidean clustering methods when handling complex stacked scenarios. Positional Decision-Making Level: we propose a crushing point localization method incorporating multi-scale geometric feature fusion. Poisson surface reconstruction is employed to construct a continuous geometric model of the ore surface. This is combined with an enhanced RANSAC plane detection algorithm to identify optimal crushing planes, followed by a comprehensive analysis to determine crushing direction vectors. Experimental results demonstrate that the method can effectively segment individual ores in complex stacking scenarios and optimize crushing position determination based on geometric features, providing reliable technical support for automated crushing operations.

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Authors and Affiliations

Lirong Yang

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ORCID:

Xiaolong Zhu

Zhiwen Huang

Chong Cao

Jiangxi Mining and Metallurgical Engineering Research Center; School of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, China
School of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, China

3 A mechanical and environmental approach on the partial substitution for aggregate in mortar using various metal mine tailings

Deniz Adiguzel , Serkan Tuylu , Can Gungoren , Ismail Demir , Ulvi Rajabli

Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2026 | vol. 42 | No 1 | 69–92 | DOI: 10.24425/gsm.2026.158272

Keywords: sustainable mining mortar uniaxial compression strength (UCS) acid mine drainage (AMD) methylene blue value (MBV)

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Abstract

The problem of managing the high amounts of mine tailings has become important with the increase in production in mining activities. The tailings must be stored or disposed of in a controlled manner to eliminate or minimize their negative effects such as air, water, and soil pollution. In particular, the tailings of metal mines have acid mine drainage (AMD) risk and must be stored under safe conditions. The use of these tailings in an appropriate industry, such as concrete production, will increase the sustainability of mining activities. This study investigates the effect of gold (AuT), lead-zinc (LZ T), copper (CuT), and iron (FeT) metal mine tailings as a partial substitution base material for aggregate in concrete in terms of mechanical and environmental aspects using uniaxial compression strength (UCS) tests and pH measurements, respectively. The results indicated that the strength of the reference concrete without tailing (32 M Pa) could be reached or even exceeded by tailing substituted mortar samples with 5% AuT, 5% CuT, and 20% LZ T. The strength of several mortar samples increased with the curing time due to the filler effect and pozzolanic activity, while it decreased due to the clay effect and sulfate attacks depending on the tailing type and the substitution ratio. The pH value of the tailings, which was between 8.5 and 9.5, was not affected significantly by atmospheric oxidation. When these tailings were used in concrete production, the suspension pH approached 13 due to the alkaline properties of the cement, almost eliminating the AMD risk.

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Authors and Affiliations

Deniz Adiguzel

e-mail:

ORCID:

Serkan Tuylu

e-mail:

ORCID:

Can Gungoren

e-mail:

ORCID:

Ismail Demir

e-mail:

ORCID:

Ulvi Rajabli

Istanbul University-Cerrahpaşa, Turkey

4 Assessment of China’s nickel resource supply security based on the CRITIC-TOPSIS Model

Yingchao Niu , Shaobo Wen , Xuezheng Gao , Yuntao Shang , Xiaolei Li , Fanyu Qi , Chao Zhang , Jianghao Yuan

Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2026 | vol. 42 | No 1 | 93–117 | DOI: 10.24425/gsm.2026.158273

Keywords: nickel resources supply security CRITIC-TOPSIS Model Evaluation Index System sustainability

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Abstract

With the accelerated development of the new energy vehicle industry, China’s demand for nickel resources has been increasing, and its external dependence has remained high for a long time. In the context of the new international development pattern and security environment, it is essential to systematically evaluate the security of China’s nickel ore resource supply. Based on China’s new development background and situational requirements, this paper constructs an evaluation index system for nickel resource supply security from three dimensions: global supply stability, domestic economic security, and co-existence of optimal, from the perspectives of national resource security and sustainable development, combined with the characteristics of nickel resources. The CRITICTOPSIS model is adopted to evaluate the level of secure nickel resource supply from 2011 to 2022. The construction of the evaluation index system for nickel resource supply security has been proven scientifically reasonable, the method used is relatively appropriate, and the evaluation results are credible. The results indicate that China’s nickel resource supply capacity has generally declined since 2011, with the main influencing factors being domestic resource supply potential, global geopolitical risks, and nickel ore market price fluctuations. Therefore, it is imperative to enhance domestic nickel resource exploration efforts, increase overseas mining investments in nickel resources, improve China’s global allocation of nickel resources, and elevate nickel resource reserve capabilities and smelting and production technologies.

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Authors and Affiliations

Yingchao Niu

e-mail:

ORCID:

Shaobo Wen

Xuezheng Gao

Yuntao Shang

Xiaolei Li

Fanyu Qi

Chao Zhang

e-mail:

ORCID:

Jianghao Yuan

Development and Research Center of China Geological Survey, China
Chinese Academy of Natural Resources Economics, China

5 The fossil fuel market in Germany and Poland in the aftermath of the Russian–Ukrainian war

Wiktor Hebda

Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2026 | vol. 42 | No 1 | 119–140 | DOI: 10.24425/gsm.2026.158270

Keywords: fossil fuels Germany Poland war in Ukraine

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Abstract

Fossil fuels such as coal, crude oil, and natural gas are still key to ensuring energy security. Due to limited resources, most European countries must import strategic raw materials, making their security dependent on the geopolitical situation. The war in Ukraine has serious consequences for the fossil fuel market in Central and Eastern Europe. The Russian Federation, being a world leader in hydrocarbon production, was a key supplier to most countries located in this region. As the armed conflict in Ukraine developed, it became obvious that ensuring energy security would be a priority for the European countries. Diversifying the sources of strategic fossil fuels was undoubtedly one of the most challenging ventures during this time. As a result of EU sanctions against Russian raw materials, the Central and Eastern European countries were forced to review and amend their energy policies, as well as look for new suppliers of hydrocarbons. Unfortunately, for many countries, achieving these targets turned out to be a great challenge due to their significant dependence on Russia and the lack of alternative transmission infrastructure. The Russia-Ukraine conflict has led to significant changes in the fossil fuel market, primarily in Germany and Poland. This article presents a comparative analysis of the German and Polish fossil fuel markets in the aftermath of the Russian-Ukrainian war. The analysis covers the period of 2021-2024. The aim was to determine how the sanctions imposed on Russia affected the fossil fuel markets of Germany and Poland. The analysis covers the coal, oil, and natural gas sectors.

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Authors and Affiliations

Wiktor Hebda

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ORCID:

Jagiellonian University in Kraków, Poland

6 Optimized Variational Mode Decomposition combined with Wavelet Thresholding for noise reduction in magnetic induction sorting system

Caiyun Wu , Chunrong Pan , Kai Feng , Decan Zeng

Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2026 | vol. 42 | No 1 | 141–161 | DOI: 10.24425/gsm.2026.158274

Keywords: magnetic induction sorting system noise interference VMD WT Hall sensor

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Abstract

The magnetic induction sorting system is an automated intelligent system designed specifically for magnetite ore, which can effectively separate low-grade ores. However, the magnetic induction signals detected by this system are vulnerable to noise interference, posing a significant challenge for accurate signal acquisition, thus affecting both the sorting range and accuracy. To address this issue, this study proposes a denoising method integrating the Sparrow Search Algorithm (SSA)-optimized Variational Mode Decomposition (VMD) with Wavelet Thresholding (WT). Firstly, SSA is employed to optimize the parameter configuration of VMD to achieve optimal signal decomposition. Subsequently, intrinsic mode functions (IMFs) are selectively filtered based on sample entropy analysis, and the retained IMFs undergo WT denoising. Finally, the IMFs are reconstructed to yield the denoised signal. The effectiveness of the proposed method is verified comprehensively through experiments performed with a laboratory-developed magnetic induction sorting system. Experimental results demonstrate substantial performance improvements when compared to four alternative algorithms, achieving an average improvement of 3.3% in Noise Mode (NM) and a reduction of 14.9% in Root of Variance Ratio (RVR). Moreover, the denoising algorithm led to a 38.8% increase in detectable magnetite ores and a 12.5% improvement in sorting accuracy. These results demonstrate that the proposed method effectively suppresses noise interference during the Hall sensor’s collection of magnetic signals, significantly enhancing the grade sorting range and accuracy of magnetite ore.

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Authors and Affiliations

Caiyun Wu

Chunrong Pan

Kai Feng

Decan Zeng

e-mail:

ORCID:

School of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
School of Intelligent Manufacturing and Materials Engineering, Gannan University of Science and Technology, Ganzhou 341000, China
School of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000; School of Mechanical and Electrical Engineering, Heyuan Technician Institute, China

7 Modeling and simulation of vibrating ore drawing process based on visual perception and model predictive control

Xu Liu , Kai Zhan , Miao Miao Zhu , Lingjuan Huang , Feng Jin , Jun Liu , Zheng Wu , Chao Yang Ma

Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2026 | vol. 42 | No 1 | 163–183 | DOI: 10.24425/gsm.2026.158275

Keywords: intelligent mining vibrating ore drawing process image detection MPC

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Abstract

For modelling and control of the Vibrating Ore Drawing Process (VODP) in the under-mine rail transportation, a visual perception-based detection method for controlled variables in the drawing process is proposed and applied to the Model Predictive Control for achieving the adaptive draw of the chute. First, the method for estimating ore flow parameters is proposed based on a neural network visual perception method. The neural network-based target detection algorithm is constructed by the well-known DarkNet-53 structure, which is further optimized based on the YOLOv5-MINE structure. Second, the reference model of the VODP system is established by the system identification and data fitting approach. Then, based on this, we use model predictive control to control the system and give a stability analysis of the system with the input and output block diagram under the guidance of the prediction model. Finally, combined with advanced communication technology, simple simulation examples and practical industrial applications are given to illustrate the effectiveness and robustness of the proposed methodology. Field experiments conducted at an iron ore mine in China show that the application of the Visual Perception and Model Predictive Control system eliminates inefficiencies caused by human factors, resulting in a 6.8% increase in ore loading efficiency and a reduction in the need for operators by more than 50%. The proposed system provides a significant advancement in intelligent and unmanned mining operations, enhancing safety, efficiency, and resource utilization.

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Authors and Affiliations

Xu Liu

e-mail:

ORCID:

Kai Zhan

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ORCID: