Li Yang
Getnet Engeda Birhane
Junqi Zhu
Jichao Geng- Department of Economics and Management, Anhui University of Science and Technology, Huainan, China
Background: Though the introduction of modern safer underground coal mining methods and automation, mine accidents still cause loss of lives, time, and money. This paper aims to analyze in detail the causes of safety and environmental issues in the coal mining industry, as well as the impact of IoT on coal mining.
Method: A systematic review was conducted. A comprehensive search involving Web of Science, Google Scholar, Scopus, and Science direct databases was conducted using a combination of the following keywords: mining accidents, coal mining injuries, human error in mining, intelligent mining, etc. The inclusion criteria: (1) the study was published between January 2000 and June 2020; (2) the participants were coal mining employees/coal mining accidents and accidents were work-related; (3) the study focused on identifying causes of coal mining safety issues or accidents, factors that influence unsafe behaviors and accidents in coal mining, coal mining rescue management, coal mining rescue plan, coal mining environmental impact, mining information technology, intelligent mining; (4) the study was published in a refereed journal; (5) the study was written in English. In this paper, articles were retained if they were original studies.
Results: A total of 59 papers were reviewed in detail. Safety issues in coal mining and the impact of IoT were identified and categorized into three main factors: general safety issues, environmental factors, and mining information technology. Recently, the coal mines had become mechanized and automated leading to improved safety, productivity, and cost. However, Human factors such as lack of appropriate skill, lack of experience, perceptual error, and unsafe behaviors, as well as lack of detailed emergency rescue plan were the leading causes of coal mining injuries. Furthermore, abandoned mining sites' carbon emission is greater than active sites.
Conclusion: The study recommends further research to be conducted using different psychological models to understand human factors and design effective safety management systems. And the environmental impact of abandoned mining sites should be given due attention.
Introduction
Coal mining is one of the most dangerous industries in the world. Human factors such as intentional violation, mismanagement, and defective design cause coal mining accidents (1). The functional climate of the coal mining presents many hazards to personnel, including the proximity to machinery, hydraulic and electrical power, roof falls, and exposure to explosive mine gases and dust. Coalners are often required to work in this unsafe climate to physically control gear at short proximity and subsequently accomplish productive extraction (2, 3). Jiskani et al. (4) studied the physical and environmental working conditions of underground coal mines and discovered mining design was inappropriate were workers had to deal with excessive job demands, which lead them to face frequent ergonomic problems such as the low back, upper back, shoulder, knee, and ankle/foot pains. These injuries were associated with lack of routine, being new at the mine, and specific mining activities. A global shift toward using provisional contract labor and extended workdays indicates that injuries during long working hours will likely continue to grow as a problem in the mining industry (5). Kyeremateng-Amoah and Clarke (6) evaluated the causes of injuries in the Ghanian mining industry, where the collapse of the mine pits and falls constituted the common cause of accidents. And the injuries reported were Fractures and contusions. Similarly, underground mining reported the highest injury rate in Zambia, where the common source of fatal injuries was rockfall (7). On other hand, the occupational hazards identified in coal mining were failure to assess the work environment, failure in developing and implementing safe operating procedures, failure of workers to follow safety procedures, inadequate planning for safety in the design and operation of new equipment, and facilities (8). Even though there were great improvements both in coal mining technology and coal mine accidents, fatal injury rates in mining stay higher, where fires and explosions were the leading causes of workplace fatal injuries (9). Only technology development alone cannot achieve the broad objectives of coal mining safety, unless coupled with the wide application of risk assessment to improve coal mine safety in the future (10). Modern technologies play a vital role in this regard, for example, the application of Internet of things (IoT) in the underground mine can result in precise environment perception and early warning for flooding, fires, gas explosions, dust explosions, cave, coal and gas outburst, toxic gases, and other various risk factors. Furthermore, attain reduction of mining surface staff, hidden dangers investigation, safety hedge, accident investigation, accident emergency, miners and equipment management (11). The outcomes gained through past and present technological developments provide critical insights and lessons to help understand the value of emerging automation technologies toward achieving the future integrated mining ecosystem (3). However, human factors, lack of employees' compliance with relevant laws and regulations, decision error, perceptual error, and skill error are posing challenges to safe mining (12).
Nowadays, technological advancement and the development of new methods have been decreasing the degree of coal mining injuries and environmental impact. However, there are no sufficient review studies that present a comprehensive review of safety issues, environmental impact, and the impact of technology in reducing coal mining injures and environmental impact. Thus, knowing the safety and environmental concerns in coal mining helps to develop various types of methods for improving safety, equipment design, work procedures, work schedules, safety programs, and emergency response plans. And techniques for diagnosing the potential hazards associated with new technologies and work procedures.
Materials and Methods
Objective
The objective of this study was to collect papers related to coal mining safety issues, environmental impact, and the impact of IoT in coal mining, to examine and review the variables related to causes of accidents, and environmental issues, to evaluate the impact of IoT in improving coal mining safety and to present a comprehensive systematic review.
Research Questions
The key research question of interest is the following:
(1) What are the potential causes of coal mining injuries.
(2) What are the potential environmental impacts of coal mining?
(3) What are the potential impacts of the application of information technology on reducing coal mining injuries and environmental impacts?
Eligibility Criteria
An in-depth systematic review was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were selected based on the following inclusion criteria: (a) the study was published between January 2000 and June 2021; (b) the participants were coal mining employees/coal mining accidents and accidents were work-related; (c) the study focused on identifying causes of coal mining safety issues or accidents, factors that influence unsafe behaviors and accidents in coal mining, coal mining rescue management, coal mining rescue plan, coal mining environmental impact, mining information technology, intelligent mining; (d) the study was published in a refereed journal; (e) the study was written in English (Table 1).
Table 1. Studies inclusion criteria.
Search Strategy
Complete database searches were conducted between February 01 and June 30, 2021. The papers used in this review were studies of safety issues, environment, and automation of coal mining obtained via databases: Web of Science, Google Scholar, Scopus, and Science direct. The search terms were Intelligent mining, Internet of things, causes of safety issues, coal mine injuries, coal mining accidents, human error in mining, and human behavior. In total 59 articles from 2000 to 2021 were reviewed in full based on the inclusion criteria specified in Table 1. The results of the screening process are shown in the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) diagram (Figure 1).
Figure 1. Identification and framework development.
Result and Discussion
Study Selection
Figure 1 shows a flowchart of the literature search with 890 research articles identified through an initial online database search. All four authors engaged in the database screening process and the analysis of the full text for eligibility. There was no disagreement between the authors since the screening was done based on a checklist.
Data Extraction
The following (Table 2) summarizes the causes of safety issues, environmental factors, and technology reported in each study: design of each study, methodology used to analyze data, the sample size, and the findings were identified in detail. The variables reported as causes of or contributory factors to safety issues and environmental factors in coal mining were analyzed based on their association with unsafe behaviors and accidents. And the impact of mining information technologies in improving safety, productivity, and cost were identified and analyzed. These variables were further condensed according to some common characteristics, which were later grouped under three categories (or factors). And the conceptual framework of the study was developed as shown below (Figure 2).
Table 2. Identification of causes of safety issues, environment, and the impact of technology.
Figure 2. Conceptual framework of the study.
General Safety Issues
Operational Factors
Coal mining safety is a very important phenomenon since coal mining involves various hazards that lead to major fatalities. In the conventional panel, the most common accident/injury types were falls, struck by a falling object, and handling material. In the mechanized panels, injuries were in haulage/transportation, machine and electricity-related (13). Machine-related accidents were conveyors, rock bolting machines, milling machines, and haulage equipment. These accidents account for all the severe accidents in the mining industry (14). Subsidence of the ground, underground railway accidents, and methane poisoning also cause fatalities (15). The operational risks were roof collapse, fire, and gas concentration exceeding the limit (16). With the spontaneous combustion of coal and the presence of methane in the structure of the lode, underground coal mining has the highest rate of fatal accidents and injury in the mining industry (17). Ground movement, fall other than fall of ground, transportation machinery, machinery other than transportation machinery, and explosives also contributed to accidents caused in the mining sites (18). For example, in Pakistan, the main causes of fatalities in coal mining were mine collapse and blast, accumulation of gas, gas explosion, and falling stones. The fatality rate was higher because of a lack of safety training and education, child labor and illegal mining, and a lack of appropriate technology (19). On the other hand, rock stresses, harmful gases, humidity, high temperatures, coal and silica dust, and specialized equipment were the potential operational hazards that lead to severe accidents (20). Furthermore, geo-mechanical, mechanical, electrical, geochemical, and environmental were potential hazards causing miners injuries (21). Shuttle car injuries most frequently occurred to drivers as a consequence of traveling over rough roads or being struck by and during maintenance (22).
Musculoskeletal disorders, work design, ground or strata instability, and biological sources were hazards associated with underground miners task (23). Individual factors like age and job experience, as well as physical and environmental job factors including inappropriate work pace, restricted working space, manual material handling tasks, poor lighting conditions, significantly, contributed to musculoskeletal injuries among miners (4). Despite improvements, fatal injury rates in mining remain more than four times higher than the average for all industries in the US, where fires and explosions were the leading causes of workplace fatal injuries (9). Coal miners were forced to work in difficult temperatures, postures, and work conditions, which leads to various occupational health problems. They reported musculoskeletal, respiratory, gastrointestinal, nervous, dermatological, ear, nose & throat, and eye problems among the frequent occupational health problems (24). Due to the nature of the coal mining operation, miners experienced pain in at least one region of their bodies (25). The larger portion of the injuries that occurred in underground mining was smashing injury, sprains, and luxation (26). According to Chimamise et al. (27), the factors associated with severe injuries in mining were working underground, having targets per shift, inadequate personal protective equipment (PPE), and working more than 8 h per shift. The immediate cause of the accident was body movement with physical effort or overexertion, and the type of accident was physical effort or overexertion (28).
Human Factor
In the workplace, most of the time accidents occur from human errors or uncontrolled situations. Human error is defined as an action, intentional or harming safety or productivity (29). The main injuries were slips, followed by rule-based and knowledge mistakes, lapses (memory failure), and violations (30). The frequent occurrence of mine disasters was largely attributed to poor management, weak enforcement of legislation and policies, lack of safety awareness among the mining communities, poor involvement of government, civil society organizations, and the private sectors, and insufficient safety education (31). Failure to correct hidden danger, failure to implement a policy of coal mine production, and failure to guide safety in production were the top three serious human factors/issues in coal mining (32). These unsafe behaviors were when a worker is in a poor state, the most vulnerable unsafe behaviors are a violation, followed by decision-making error. And lack of experience was the most significant contributory factor to unsafe behaviors, and poor fitness for duty was also the principal state that causes unsafe behaviors (33). For example, coal mining gas explosion accidents were caused by unsafe worker's behaviors (34). The perception of miners plays a vital role in their unsafe behavior, iners perceived lower levels of management safety practices, followed by supervisor safety, coworker safety, and job safety. Age and experience were significantly associated with mining hazards The higher prevalence of mine hazards predicts poor workplace safety and a low safety climate (23). The safety attitude of miners are crucial in identifying mine hazards and decreasing coal mine operation injuries. Safety attitude is positively related tosafety behavior.afety participation and safety compliance also positively related to safety attitude. Age and length of service were also slightly related to safety attitude (35). Firedamp and dust explosions, landslips, mine fires, and technical failures related to transport and mechanization were the common causes of coal mining accidents in Turkey. These accidents were caused mainly due to technical deficiencies or failures (36). According to Duma et al. (37) in coal mining, most of the injuries were caused a result of fatigue. The problem of production safety increase at coal mines can be solved not only by expanding technical, technological, and organizational measures but also by exploiting the human factor. Thus, to decrease injuries in coal mining, emphasis should be given to the increase in the level of communicative and psychological competence of managers and specialists, and the combination of material incentives and disincentives for compliance with safety requirements (38).
Mining Equipment Factor
In coal, mining accidents occur due to operational and human factors. However, the share of equipment factors also cannot be undermined. Accidents occur from the failure of a Power hammer, vibrating hand tools, pneumatic tools, and bent trunk cause severe injuries (39). In coal mining, face workers were the most accident-prone job occupants than the haulage and other workers (40). Despite significant intervention and the reduction, the number of coal mining injuries and fatalities remains high. The non-powered hand tools were the equipment category most often involved with non-fatal injuries while off-road ore haulage was the most common source of fatalities (41). In mechanized panels manual handling-related injuries were found to be higher than in conventional panels (13).
Lack of Emergency Rescue Plan
The emergency rescue plan was not more than a paper document that had not been properly tested, most mines had not formally identified what information would be necessary for an emergency, absence of training carried out in emergency preparedness and response especially in the management of incidents and there was no industry-wide competency standard for control room operators (42). There had been guidelines and requirements associated with coal mine emergency rescue work, however, there is no sound system, solely part of it. The vast regulations can't precisely and successfully deal with specific coal mine emergencies and lack coal mine emergency rescue regulations and requirements (43). The emergency management capability and rescue capacity were still insufficient. Limited investment of many enterprises, even though the law requires each enterprise to have its plan of emergency preparedness; however, companies only have general plans which are far behind the actual situations, the emergency management techniques of shallow mining cannot secure the safe production of coal mines. Weak emergency rescue systems also greatly contribute to fatalities in coal mines. The occurrence of these accidents and casualties despite technological advances indicates that adequate precautions had not been taken (17).
Environmental Impact of Coal Mining
The underground mining extracting coal resources through the wells typically leads to land subsidence, water resources destruction, soil erosion, air pollution, and biodiversity decrease. These issues can have interactions with each other, and develop through time and space, which speed up the environmental deterioration of the coal mining area (44). The investigation of subsided water areas in the Panji coal mining area evidenced twelve subsided water areas developed for fish farming have been polluted already (45). On other hand, the assessment of Indian coal mining acid drainage revealed the total sulfur content of the coal is noticeably high compared to the overburden and soil. The coal mine water was also highly acidic in nature (46). The content of mercury in soils in areas degraded by mining and processing of coal is very high, compared to the geochemical background (47). Coal mining is the largest contributor to the global carbon dioxide emission, deforestation of dense forests, and exposes communities living around the mine site to severe health problems (48). The consequence of methane emission to the atmosphere from mining sites doesn't end with the abandonment of the mine site. The emission from abandoned coal mining sites increases rapidly than those of active sites (49).
Mining Information Technology
The introduction of technological changes in mining operations speed up enhancement in productivity, health, and safety. Intelligent response and rescue systems, have contributed drastically to the reduction of mining fatalities and accidents. The underground positioning technique and the 3D modeling and representing technique developed can satisfy the requirements of underground rescue in an emergency (50). The safety information management system based on the internet, web, common gateway interface, active server page, and hypertext preprocessor technologies are widely admired by many coal enterprises. This was due to the fact that they facilitate storage of the complicated and bulky coal safety management information in classifications, allowing the safety management to be more timely, more efficient, and more accurate, to aid the managers to arrive at the purpose of reducing accident rate and guaranteeing safety production (51). Using fuzzy assessment technique managers and personnel can rapidly determine the mine's current safety quality standardization level, to grate, discover, and dispose of the hidden mine safety problems in time, which enhance the efficiency of security management. Coal mine safety quality standardization management system has the benefit of the low cost of development, ease of maintenance, and pleasant interface (52).
Runqiu et al. (53), introduced a self-organizing data mining technique that spontaneously analyzes non-linear relation between the gas emission and the factors, and can establish the explicit high order equation to descript the gas emission laws and the prediction model which has enough prediction accuracy for the application of actual engineering in coal mines. The safety early warning model of coal mining is effective to prevent mining accidents (54).
The application of IoT in the underground coal mining can attain unique environment perception and early warning for flooding, fires, gas explosions, dust explosions, cave, coal and gas outburst, toxic gases, and other various risk factors. Further, reduce mining surface personnel, hidden dangers investigation, safety hedge, accident investigation, accident emergency, miners and equipment management (11). The remote dynamic supervision can be innovated through adopting IoT technology. The tracking inspection on illegal action can be achieved, capabilities of emergency response and accident investigation can be increased, the situation of safe production can be further improved, and safe and stable development of coal industry can be promoted (55). It provides a new trend of thought for the development of coal informatization. Since the coal extraction process is done in shifts, the coal mining equipment was run continuously for a long period under difficult site conditions leading to a series of problems. Traditional maintenance mode is difficult to find the failure accurately and timely in the early days. IoT technology can identify the fault and forecast the potential threat accurately, and it is of great significance for the safe and efficient operation of coal equipment (56).
The introduction of Intelligent mining technologies has reduced significantly the number of miners on the work face. Miners only monitor mining machines on the roadway or or at the surface control center since intelligent mining can be applied to extract middle-thick or thick coal seams. As a result, miners' safety has been improved (57). The introduction of coal mine occupational safety and health management and risk control technology system and its supporting software, successfully drive coal mine work-related safety and health management, while decreasing the accident risks to provide safety assurance to coal mining operations. Further, the system can be carried out based on a benign cycle with dynamic feedback and scientific development (58).
The outcomes gained via previous and present technological advancement deliver critical insights and lessons to help understand the value of emerging automation technologies toward achieving the future integrated mining ecosystem (3). However, for the implementation of suitable technology, the selection of the right personnel is a growing problem in mining. This was because of a lack of technological knowledge and the improper training system within the company. The implementation of cyber-physical systems can deepen the frustrations of employees. Thus, a well-educated, prepared, motivated, and, above all, aware and committed employee is the basis for the development and success of every company (59).
Limitations
The study doesn't conduct a statistical meta-analysis study due to the variety of methodologies that have been applied in the studies, and this could have produced a more reliable conclusion. Furthermore, we have done an extensive literature search from four online databases and used inclusive search terms, we were unable to rule out the likelihood of failing to spot some relevant articles.
Conclusions
Despite improvements in safety performance, the number and severity of mining-related injuries remain high and unacceptable, indicating that further reduction can be achieved. Safety issues in coal mining were operational factors, human factors, equipment factors, environmental factors, and lack of detailed emergency rescue plans. The finding of the study shows, in recent years most of the coal mines have become mechanized and automated leading to a decreased number of fatal injuries and improved productivity. However, human factors: lack of skilled manpower that can easily adapt to new coal mining technologies, lack of experience, perceptual error, and unsafe behaviors continue to pose a great challenge to the future of the industry. The lack of a detailed emergency rescue plan with each mining site's physical conditions was also an important source of injuries in the mining sector. Furthermore, studies confirm that the environmental impact of mining sites even becomes greater in terms of carbon emission beyond the abandonment of the coal mining sites. More emphasis should be given to abandoned mining sites to reduce their environmental impact.The limitations of the studies used in this systematic review were lack of clear methodology in some studies, the small sample size was also used in some studies, most of the studies used secondary data from newspapers and hospitals, which is affected by under-reporting, and over-reporting. Furthermore, the studies had not reported the importance of near-miss injuries reports in designing effective coal mine safety. Thus, further research should be conducted using different psychological models to understand the causes of unsafe human acts and design effective safety management systems.
Data Availability Statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.
Author Contributions
GB designed and conceptualized the study and wrote the manuscript. LY supervised the project and obtained funding. JG and JZ download the related papers and also obtained funding. All authors participated in screening the articles and provide critical feedback, significantly contributed to the study, and approved the final manuscript.
Funding
This study was supported by the National Natural Science Foundation of China under the grant (No. 71971003); the Major of National Social Science Foundation of China (20ZDA084); the Major Program of Humanities and Social Sciences in Colleges and Universities of Anhui Province, China under the grant (No. SK2019ZD09); the Program of Humanities and Social Sciences in Colleges and Universities of Anhui Province, China (No. SK2020A0209); the MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No. 19YJCZH037), Key Research Fund for Young Teachers of Anhui University of Science and Technology (No. QNSK201801).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Chen H, QI H, Long RY, Zhang ML. Research on 10-year tendency of China coal mine accidents and the characteristics of human factors. Safety Sci. (2012) 50:745–50. doi: 10.1016/j.ssci.2011.08.040
2. Ralston JC, Reid DC, Dunn MT, Hainsworth DW. Longwall automation: delivering enabling technology to achieve safer and more productive underground mining. Int J Min Sci Technol. (2015) 25:865–76. doi: 10.1016/j.ijmst.2015.09.001
3. Ralston JC, Hargrave CO, Dunn MT. Longwall automation: trends, challenges and opportunities. Int J Mining Sci Technol. (2017) 27:733–9. doi: 10.1016/j.ijmst.2017.07.027
4. Jiskani IM, Han S, Shahani NM, Ali M, Dianat I, Chalgri SR. Evaluation of physical and environmental working conditions of underground coal mines within the framework of ergonomics. Int J Mining Miner Eng. (2020) 11:240–56. doi: 10.1504/IJMME.2020.109639
5. Friedman LS, Almberg KS, Cohen RA. Injuries associated with long working hours among employees in the US mining industry: risk factors and adverse outcomes. Occup Environ Med. (2020) 76:389–95. doi: 10.1136/oemed-2018-105558
6. Kyeremateng-Amoah E, Clarke EE. Injuries among artisanal and small-scale gold miners in Ghana. Int J Environ Res Public Health. (2015) 12:10886–96. doi: 10.3390/ijerph120910886
7. Michelo P, Bratveit M, Moen BE. Occupational injuries and fatalities in copper mining in Zambia. Occup Med. (2009) 59:191–4. doi: 10.1093/occmed/kqp009
8. Singh RS, Tripathi N. Occupational Health and Safety in Coal Mining Industry. 1st ed. Dhanbad: International seminar, DTEX (2009).
9. Smith S. Injuries, Illnesses, and Fatal Injuries in Mining in 2010. Beyond the Numbers. Washington, DC: Bureau of Labor Statistics (2013). p. 2.
10. Chu C, Jain R, Muradian N, Zhang G. Statistical analysis of coal mining safety in China with reference to the impact of technology. South Afr Inst Mining Mettallur. (2016) 116:73–8. doi: 10.17159/2411-9717/2016/v116n1a11
11. Qiupinga W, Shunbinga Z, Chunquana D. Study on key technologies of internet of things perceiving mine. Proc Eng. (2011) 26:2326–33. doi: 10.1016/j.proeng.2011.11.2442
12. Hongxia L, Ruirui X. Human factors analysis of coal mine safety accident based on HFACS and AHP. Int J Sci. (2018) 5:23–9. Retrieved from http://www.ijscience.org/download/IJS-5-5-23-29.pdf
13. Sari M, Duzgun HSB, Karpuz C, Selcuk AS. Accident analysis of two Turkish underground coal mines. Safety Sci. (2004) 42:675–90. doi: 10.1016/j.ssci.2003.11.002
14. Ruff T, Coleman P, Martini L. Machine-related injuries in the US mining industry and priorities for safety research. Int J Inj Contr Safety Promot. (2011) 18:11–20. doi: 10.1080/17457300.2010.487154
15. Kucuker H. Occupational fatalities among coal mine workers in Zonguldak, Turkey, 1994–2003: short paper. Occup Med. (2006) 56:144–6. doi: 10.1093/occmed/kqj023
16. Deng Y, Song L, Zhou Z, Liu P. An approach for understanding and promoting coal mine safety by exploring coal mine risk network. Hindawi J Complex. (2017) 2017:1–17. doi: 10.1155/2017/7628569
18. Dasha AK, Bhattcharjee RM, Paula PS, Tikader M. Study and analysis of accidents due to wheeled trackless transportation machinery in Indian coal mines – identification of gap in current investigation system. Proc Earth Planet Sci. (2015) 11:539–47. doi: 10.1016/j.proeps.2015.06.056
19. Shahani NM, Sajid MJ, Jiskani IM, Ullah B, Qureshi AR. Comparative analysis of coal Miner's fatalities by fuzzy logic. J Mining Environ. (2021) 12:77–87. doi: 10.22044/jme.2020.9459.1856
20. Liu Q, Meng X, Hassall M, Li X. Accident-causing mechanism in coal mines based on hazards and polarized management. Saf Sci. (2016) 85:276–81. doi: 10.1016/j.ssci.2016.01.012
21. Tripathy DP, Ala CK. Identification of safety hazards in Indian underground coal mines. J Sustain Mining. (2016) 17:175–83. doi: 10.1016/j.jsm.2018.07.005
22. Burgess-Limerick R. Injuries associated with underground coal mining equipment in Australia. Ergon Open J. (2011) 4(Suppl 2-M2):62–73. doi: 10.2174/1875934301104010062
23. Jiskani IM, Cai Q, Zhou W, Chang Z, Chalgri SR, Manda E, et al. Distinctive model of mine safety for sustainable mining in Pakistan. Mining Metallur Explor. (2020) 37:1–15. doi: 10.1007/s42461-020-00207-8
24. Ishtiaq M, Hussain H, Gul S, Jehan N, Ahmad I, Masud K, et al. Frequency of occupational health problems among coal miners. Gomal J Med Sci. (2014) 12:52–5.
25. Carlisle KN, Parker AW. Psychological distress and pain reporting in Australian coal miners. Saf Health Work. (2014) 5:203–09. doi: 10.1016/j.shaw.2014.07.005
26. Cui Y, Tian SS, Qiao N, Wang C, Wang T, Huang JJ, et al. Associations of individual-related and job-related risk factors with nonfatal occupational injury in the coal workers of Shanxi province: a cross-sectional study. PLoS ONE. (2015) 10:e0134367. doi: 10.1371/journal.pone.0134367
27. Chimamise C, Gombe NT, Tshimanga M, Chadambuka A, Shambira G, Chimusoro A. Factors associated with severe occupational injuries at mining company in Zimbabwe, 2010: a cross-sectional study. Pan Afr Med J. (2013) 14:5. doi: 10.11604/pamj.2013.14.5.1148
28. Sanmiquel L, Bascompta M, Rossell JM, Hernán Francisco Anticoi HF, Guash E. Analysis of occupational accidents in underground and surface mining in Spain using data mining techniques. Int J Environ Res Public Health. (2018) 15:1–11. doi: 10.3390/ijerph15030462
29. Pedram S, Perez P, Dowsett B. Assessing the impact of virtual reality-based training on health and safety issues in the mining industry. In: International Symposium For Next Generation Infrastructure. Wollongong (2013). doi: 10.14453/isngi2013.proc.36
30. Palei SK, Gupta S, Karmakar NC. Identification of human error to enhance safety in underground coal mines through the study of accident data- a concept. Technol Chall Manag Iss Sustain Mining Industr. (2011) 343–8. Retrieved from: https://www.researchgate.net/publication/282204641
31. Wei-ci G, Chao W. Comparative study on coal mine safety between China and the US from a safety sociology perspective. Proc Eng. (2011) 26. doi: 10.1016/j.proeng.2011.11.2397
32. Zhang Y, Jing L, Bai Q, Liu T, Feng Y. A systems approach to extraordinarily major coal mine accidents in China from 1997 to 2011: an application of the HFACS approach. Int J Occup Saf Ergon. (2018) 25:181–93. doi: 10.1080/10803548.2017.1415404
33. Chen Z, Qiao G, Zeng J. Study on the relationship between worker states and unsafe behaviours in coal mine accidents based on a bayesian networks model. Sustainability. (2019) 11:1–16. doi: 10.3390/su11185021
34. Tong R, Yang Y, Xiaofei, Ma X, Zhang Y, Li S, et al. Risk assessment of miners' unsafe behaviors: a case study of gas explosion accidents in coal mine, China. Int J Environ Res Public Health. (2019) 16:1–18. doi: 10.3390/ijerph16101765
35. Li YL, Wu X, Luo XW, Gao J, Yin W. Impact of safety attitude on the safety behavior of coal miners in China. Sustainability. (2019) 11:1–21. doi: 10.3390/su11226382
36. Kucuk FCU, Ilgaz A. Causes of coal mine accidents in the world and Turkey. Turk Thorac J. (2015) 16 (Suppl. 1):S9–14. doi: 10.5152/ttd.2015.003
37. Duma K, Husodo AH, Maurits LS. The policy of control health and safety and the risk factors in the coal mining of east Kalimantan. BMC Public Health. (2014) 14:1–1. doi: 10.1186/1471-2458-14-S1-O26
38. Smagina S, Kadnikova O, Demidenko K, Chistyakova G, Rolgayzer A. Improving occupational and industrial safety management system at coal mining enterprises. In: The Second International Innovative Mining Symposium. E3S Web of Conferences. Kemerovo (2017). p. 1–6.
39. Bhattacherjee A, Bertrand JP, Meyer JP, Benamghar L, Sierra CO, Michaely JP, et al. Relationships of physical job tasks and living conditions with occupational injuries in coal miners. Ind Health. (2007) 45:352–8. doi: 10.2486/indhealth.45.352
40. Maiti J, Bhattacherjee A. Predicting accident susceptibility: a logistic regression analysis of underground coal mine workers. J South Afr Inst Mining Metallur. (2001) 203–8. Available online at: https://hdl.handle.net/10520/AJA0038223X_2671
41. Groves WA, Kecojevic VJ, Komljenovic D. Analysis of fatalities and injuries involving mining equipment. J Safety Res. (2007) 38:461–70. doi: 10.1016/j.jsr.2007.03.011
42. Horberry T, Xiao T, Fuller R, David Cliff D. The role of human factors and ergonomics in mining emergency management: three case studies. Int J Human Fact Ergon. (2013) 2:116–30. doi: 10.1504/IJHFE.2013.057610
43. Cheng G, Zhang C. Analysis on emergency management of coal mine safety production in China. 5th ed. Annual International Workshop on Materials Science and Engineering. IOP Conf. Series: Materials Science and Engineering. Changsha (2019). p. 1–4.
44. Lei M, Qi-yana F, Lai Z, Pinga L, Qing-juna M. Environmental cumulative effects of coal underground mining. Proc Earth Planet Sci. (2009) 1:1280–4. doi: 10.1016/j.proeps.2009.09.198
45. Makowsky L, Xu LJ, Yan JP, Xu SW. Water environmental assessment and comprehensive utilization of subsided water area in Panji coal mining area of Huainan city. Proc Environ Sci. (2012) 12:252–7. doi: 10.1016/j.proenv.2012.01.274
46. Dutta M, Saikia J, Taffarel SR, Waanders FB, De Medeiros D, Cutruneo CM, et al. Environmental assessment and nano-mineralogical characterization of coal, overburden and sediment from Indian coal mining acid drainage. Geosci Front. (2017) 8:1285–97. doi: 10.1016/j.gsf.2016.11.014
47. Antoszczyszyn T, Michalska A. The potential risk of environmental contamination by mercury contained in polish coal mining waste. J Sustain Mining. (2016) 15:191–6. doi: 10.1016/j.jsm.2017.04.002
48. Rokhim R, Adawiyah W, Nasution REF. The negative impact of coal mining company on health, environment, climate change, economic sustainability and macroeconomic. E3S Web Conf. (2018) 74:1–8. doi: 10.1051/e3sconf/20187401004
49. Kholod N, Evans M, Pilcher RC, Roshchanka V, Ruiz F, Coté M, et al. Global methane emissions from coal mining to continue growing even with declining coal production. J Clean Prod. (2020) 256:1–12. doi: 10.1016/j.jclepro.2020.120489
50. Ke-feia Z, Minga Z, Yun-jiab W, Er-jianga F, Cartwrighta W. Underground mining intelligent response and rescue systems. Proc Earth Planet Sci. (2009) 1:1044–53. doi: 10.1016/j.proeps.2009.09.161
51. Na G, Longzhea J, Penga W, Linga L. The study and application of safety information management system of the coal mines. Proc Eng. (2011) 26:2051–8. doi: 10.1016/j.proeng.2011.11.2404
52. Zhi-qiang W, Wei-ming G. The study of management information system for coal mine safety quality standardization. Proc Eng. (2011) 26:1970–6. doi: 10.1016/j.proeng.2011.11.2392
53. Runqiu L, Shilianga S, Aiyoua W, Wenkea L, Hongping Z. Research on prediction of gas emission based on self-organizing data mining in coal mines. Proc Eng. (2014) 84:779–85. doi: 10.1016/j.proeng.2014.10.496
54. Yan Z, Wang X, Fu Y. Study on early warning model of coal mining engineering with Fuzzy AHP. Syst Eng Proc. (2012) 5:113–8. doi: 10.1016/j.sepro.2012.04.018
55. Yinghua Z, Guanghua F, Zhigang Z, Zhian H, Hongchen L, Jixing Y. Discussion on application of IOT technology in coal mine safety supervision. Proc Eng. (2012) 43:233–7. doi: 10.1016/j.proeng.2012.08.040
56. Dong L, Mingyue R, Guoying M. Application of internet of things technology on predictive maintenance system of coal equipment. Proc Eng. (2017) 174:885–9. doi: 10.1016/j.proeng.2017.01.237
57. Wang J, Huang Z. The recent technological development of intelligent mining in China. Engineering. (2017) 3:439–44. doi: 10.1016/J.ENG.2017.04.003
58. Zhou LJ, Cao QG, Yu K, Wang LL, Wang HB. Research on occupational safety, health management and risk control technology in coal mines. Int J Environ Res Public Health. (2018) 15:1–13. doi: 10.3390/ijerph15050868
Keywords: coal mining safety, mining injuries, coal mining accidents, human error, human behavior, intelligent mining, internet of things, mining environmental impact
Citation: Yang L, Birhane GE, Zhu J and Geng J (2021) Mining Employees Safety and the Application of Information Technology in Coal Mining: Review. Front. Public Health 9:709987. doi: 10.3389/fpubh.2021.709987
Received: 14 May 2021; Accepted: 19 July 2021;
Published: 18 August 2021.
Edited by:
Mehmet Sari, Aksaray University, TurkeyReviewed by:
Niaz Muhammad Shahani, China University of Mining and Technology, ChinaSatar Mahdevari, Amirkabir University of Technology, Iran
Copyright © 2021 Yang, Birhane, Zhu and Geng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Getnet Engeda Birhane, getnet1999@gmail.com