Topic Editors

School of Environment and Resource, Xiangtan University, Xiangtan 411105, China
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Department of Urban Planning, Engineering Networks and Systems, Institute of Archi-tecture and Construction, South Ural State University, 76 Lenin Prospect, Chelyabinsk 454080, Russia
School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China
Dr. Wei Pan
School of Resources and Safety Engineering, Central South University, Changsha 410083, China

Exploring the Mine Environment, Safety Risk and Occupational Health

Abstract submission deadline
31 March 2024
Manuscript submission deadline
30 June 2024
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4687

Topic Information

Dear Colleagues,

Mineral resources play an important role in supporting world economic and social development. However, mining activity, especially in relation to underground mining, is considered to be one of the causes of the most accidents, fatalities, and diseases in the world. Every year, thousands of miners die in mining operations. There are several causes for the occurrence of accidents, including the release of toxic gases, collapses of mine openings, coaldust explosions, etc. In addition, mining activities also cause pollution to the surrounding environment, such as soil pollution, water pollution, air pollution, and so on. Mining can pollute the environment, which also poses a risk to human health. Therefore, in the process of mining, transportation, and storage, how to reduce the impact of mining activities on the surrounding environment and reduce the occurrence of accidents and occupational diseases is an urgent problem that needs to be solved. However, knowledge about the environmental, safety and health risks associated with mines is still limited. There is an immediate need to come up with good research methods and look into the above problems. This Special Issue aims to explore the latest developments on these issues and attempts to provide a comprehensive perspective. We invite researchers to contribute original research and articles as well as review articles in the scope of this Special Issue that introduce new technologies and solutions related to the field of mining health and safety. The topics of interest include, but are not limited to:

  • Safety risk and occupational health in synergetic mining;
  • Safe production and smart mining;
  • Safe and sustainable mining technology;
  • Smart, green mining;
  • Mine safety monitoring;
  • Safety issues in sustainable mine construction;
  • New trends in safe mining;
  • Environmental exposure and occupational contact;
  • Mine safety and personnel health;
  • Ecological survey and restoration of mining areas;
  • Mine pollution remediation;
  • Probabilistic techniques in mining safety;
  • Mining safety and intelligent methodologies.

Dr. Chengyu Xie
Dr. Jian Zhou
Dr. Danial Jahed Armaghani
Prof. Dr. Qingfa Chen
Dr. Wei Pan
Topic Editors

Keywords

  • safety and health
  • pollution and the environment
  • synergetic mining
  • air pollution
  • health effects
  • public health
  • smart mining
  • monitoring
  • risk assessment
  • hazard assessment
  • occupational health
  • environmental health

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Energies
energies
3.2 5.5 2008 15.7 Days CHF 2600 Submit
International Journal of Environmental Research and Public Health
ijerph
- 5.4 2004 22 Days CHF 2500 Submit
Minerals
minerals
2.5 3.9 2011 17 Days CHF 2400 Submit
Mining
mining
- - 2021 18.9 Days CHF 1000 Submit
Safety
safety
1.9 3.3 2015 31.3 Days CHF 1600 Submit

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Published Papers (4 papers)

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Article
Psychosocial Safety and Health Hazards and Their Impacts on Offshore Oil and Gas Workers
Safety 2023, 9(3), 56; https://doi.org/10.3390/safety9030056 - 15 Aug 2023
Viewed by 739
Abstract
The offshore oil and gas working environment is an inherently dangerous one, with risks posed to physical safety on a daily basis. One neglected field of research is the added psychosocial stressors present in this environment. This research examined the experiences of offshore [...] Read more.
The offshore oil and gas working environment is an inherently dangerous one, with risks posed to physical safety on a daily basis. One neglected field of research is the added psychosocial stressors present in this environment. This research examined the experiences of offshore oil and gas workers through one-on-one online interviews which were recorded and transcribed. Transcripts were analyzed through the qualitative software NVivo, which generated themes and patterns for the responses given to questions that were developed through a focus group. The results of the analysis showed that multiple psychosocial stressors are present in this population, such as fear of speaking up, unsatisfactory company-provided facilities, work–life interference, work status, micromanaging, gender harassment and bullying. In addition, interviews identified that production and time pressures, along with fatigue, can influence accidents and mistakes. Climate factors also cause discomfort. However, these are managed according to best practices by organizations. Due to the timing of the study, COVID-19 was a significant stressor for some, but not all, employees. In conclusion, offshore oil and gas workers face multiple stressors in a dangerous environment that may lead to devastating consequences. Full article
Article
Efficacy of Antivibration Gloves When Used with Electric Hammers of about 10 kg for Chiseling Limestone Rocks
Safety 2023, 9(2), 27; https://doi.org/10.3390/safety9020027 - 28 Apr 2023
Viewed by 947
Abstract
The ISO Standard 10819:2013 defines the method for evaluating the performances of antivibration (AV) gloves, but when used in real fields, the protection can be dissimilar to that labeled. This paper investigates the transmissibility, at the palm level, of three different types of [...] Read more.
The ISO Standard 10819:2013 defines the method for evaluating the performances of antivibration (AV) gloves, but when used in real fields, the protection can be dissimilar to that labeled. This paper investigates the transmissibility, at the palm level, of three different types of AV gloves (air, gel, neoprene) and an ordinary leather glove, during the use of four similar electric hammers (average weight of 10 kg, and average impact energy of 18 J), in a limestone quarry plant. As the average triaxial transmissibility for all the hammers, results show very limited benefits in reducing the vibration (6%), with no significative differences among the different gloves. The working leather glove, instead, shows a transmissibility quite equal to the unit. Anyway, results can be different for the same glove when used among the different hammers, providing in some cases 19% of protection. Some differences can be found regarding the transmissibility through the three main axes for the same type of glove: the glove in gel seems to perform better in shear than in compression. The transmissibility in compression is around 20% higher than that provided by the manufacturers of the certified gloves. The usage of specific excitation curves during laboratory tests could help in providing a more accurate estimation of the transmissibility of the gloves when used with a specific tool. Full article
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Article
Effects of Ground Subsidence on Vegetation Chlorophyll Content in Semi-Arid Mining Area: From Leaf Scale to Canopy Scale
Int. J. Environ. Res. Public Health 2023, 20(1), 493; https://doi.org/10.3390/ijerph20010493 - 28 Dec 2022
Viewed by 1037
Abstract
Ground subsidence is the main cause of vegetation degradation in mining areas. It is of great significance to study the effects of ground subsidence on vegetation. At present, few studies have analyzed the effects of ground subsidence on vegetation from different scales. However, [...] Read more.
Ground subsidence is the main cause of vegetation degradation in mining areas. It is of great significance to study the effects of ground subsidence on vegetation. At present, few studies have analyzed the effects of ground subsidence on vegetation from different scales. However, the conclusions on different scales may differ. In this experiment, chlorophyll content was used as an indicator of vegetation degradation. We conducted a long-term field survey in the Lijiahao coalfield in China. Based on field survey data and remote sensing images, we analyzed the effects of ground subsidence on chlorophyll content from two scales (leaf scale and canopy scale) and summarized the similarities and differences. We found that, regardless of leaf scale or canopy scale, the effects of subsidence on chlorophyll content have the following three characteristics: (1) mining had the least effect on chlorophyll content in the neutral area, followed by the compression area, and the greatest effect on chlorophyll content in the extension area; (2) subsidence had a slight effect on chlorophyll content of Caragana korshins, but a serious effect on chlorophyll content of Stipa baicalensis; (3) chlorophyll content was not immediately affected when the ground sank. It was the cumulative subsidence that affects chlorophyll content. The difference between leaf scale and canopy scale was that the chlorophyll content at canopy scale is more affected by mining. This means that when assessing vegetation degradation, the results obtained by remote sensing were more severe than those measured in the field. We believe that this is because the canopy chlorophyll content obtained by remote sensing is also affected by the plant canopy structure. We recommend that mining and ecological restoration should be carried out concurrently, and that ground fissures should be taken as the focus of ecological restoration. In addition, Caragana korshins ought to be widely planted. Most importantly, managers should assess the effects of ground subsidence on vegetation on different scales. However, managers need to be aware of differences at different scales. Full article
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Article
Research on the Dust Diffusion and Pollution Behaviour of Dynamic Tunneling in Header Excavators Based on Dynamic Mesh Technology and Field Measurement
Energies 2022, 15(23), 8945; https://doi.org/10.3390/en15238945 - 26 Nov 2022
Viewed by 831
Abstract
In order to accurately characterize and evaluate dust particle diffusion in the dynamic tunneling process of a boring machine, this study considers the 31,116 main transport chute heaving face of the Lijiahao coal mine as a case study. A dynamic tunneling model is [...] Read more.
In order to accurately characterize and evaluate dust particle diffusion in the dynamic tunneling process of a boring machine, this study considers the 31,116 main transport chute heaving face of the Lijiahao coal mine as a case study. A dynamic tunneling model is developed considering the real dynamic tunneling state of the header, to carry out an in-depth analysis of the spatial and temporal evolution of wind flow and dust dispersion in the tunnel under dynamic excavation. In addition, the results were compared against the calculations of a static standard excavation model of a conventional header. Employing CFD analysis accompanied by field measurements, it was highlighted that the dynamic tunneling of the header leads to an increase in the pressure difference and the turbulent kinetic energy at the working face. Moreover, an increase in the number of vortices was reported, and a higher concentration of dust spreads more quickly along the return wind side wall to the return flow area. On the other hand, the high concentration of dust under the standard tunneling model was found to accumulate a lot on the return wind side. Simultaneously, as the distance between the pressurized air outlet and the working face increases, the average wind speed in the vortex-type wind flow area at the front of the tunnel decreases. When t = 60 s, the return flow area expands to a space of 8 m~24 m from the head, and the dust accumulated above the header spreads to the back of the header to form a high concentration dust region of more than 500 mg/m³. It was shown that the range of high-concentration dust clouds in the breathing zone decreases compared to the results of the standard tunneling model. Moreover, the dust concentration in the breathing zone of the driver is significantly lower than that reported by the standard tunneling model. Based on the results of the field test, the average error between the simulated and measured data of the dynamic tunneling model was calculated to be around 6.46%, thus demonstrating the model’s capability in describing the real working conditions of the heave tunnel. Full article
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