Statistical analysis and risk assessment of working accidents at the Kerman Coal Mines in Iran (original) (raw)

An International Comparison of Turkish Coal Mining Industry Safety Performance

A comparison of safety performance indices in coal mine industry in Turkey and some other major countries will enable authorities to develop strategies in order to take the relevant precautions and eventually improve coal industry in Turkey. This paper presents a comparative study on the basis of accident information for the last decades of Turkish coal mining industry. Turkish data contains two components: public lignite coal recordings and data including both lignite and hard coal produced by public and private sectors. The collected data for all related countries was averaged across a number of years, usually last ten years, in an attempt to remove some of the statistical variations resulting from the small annual differences. Basic safety performance values such as accident frequency rate and fatality frequency rate are illustrated graphically in the form of bar charts for each million tons of coal produced, thousand employees at work and million man-hours of exposure. When only...

Accident analysis of two Turkish underground coal mines

Safety Science, 2004

Coal is the most widely used energy source in Turkey. Although safer modern underground mining methods have been introduced, mine accidents in Turkey still cause loss of lives and money in certain mines. In this study, historical accident records of two underground coal mines of two different panels (conventional and mechanized) are collected and statistically analyzed to determine the effect of mining methods on productivity and safety. The results indicated that the safety and productivity are improved when the panels are mechanized. However, it was found that the improvement in the productivity for mechanized panels is more pronounced than the improvement in the safety. The comparison of the injury profiles of the system revealed that the most risky place shifted from the face areas in the conventional panels to the development areas in the mechanized panels. Hence, the production workers were less injured in the mechanized system than the conventional system. The workers in the middle age group had a higher accident rate in both systems. The results of the present study have been compared with the previous studies.

Hazard Identification and Risk Assessment of Occupational Activities in Golgohar Mining Company, Southeast Iran (2021)

Journal of occupational health and epidemiology, 2022

Article Info Background: The mining industry is one of the most challenging environments in terms of safety issues. This study aimed to investigate occupational hazards as well as to perform a risk assessment in Golgohar mine, Sirjan, Iran, (2021). Materials and Methods: A descriptive study was conducted on jobs of 763 mining workers. A study checklist was used to collect the data. Job safety analysis method was used to identify hazardous job activities. The risks were assessed using the failure modes and effects analysis technique. Data were analyzed using SPSS and appropriate statistical methods were applied. Results: The major risks identified were the throwing and falling of objects (13.93%), the slipping and falling of workers from heights (12.61%), vehicle accidents (11.19%), and dust inhalation (9.53%). The risks of all jobs were unacceptable (RPNs > 100), yet they were reduced to an acceptable level by applying interventions. Conclusion: By the timely identifying and controlling of hazards, potential mining accidents can be prevented. Performing regular risk assessments and the periodic training of workers can help achieve this goal.

Determination of the Risk at Workplace, Assessment and Its Rank Calculation, in Mining Activities

GeoScience Engineering, 2020

Compared to the major industries, mining industry has a high risk accident potential. Over ten thousand miners are killed every year, and this is just the official figure. It is assumed that the number of the injured might exceed one hundred thousand miners, and many of them remain disable [1,2]. The history of mining is linked to the development of society itself, while the regulations on mine safety can be traced back to the Roman times. Significant mining accidents and disasters were reported since the beginning of the year 1800 [2,3]. Several pathways to mine accidents have been identified within the 200-year experience, where the agents have been: hit, inrush, outbursts, explosion, falling, sliding, lifting, poisoning, etc., in different work places, such as stope-work, transport, drift-discharge, transport, maintenance, etc. Despite having identified the causality (agent) long time ago, the number of mining accidents are still disturbing. This paper aims to assess the risk from particular agents at a workplace, trending this way to determine the risk rank through empirical formulas, through parameter "P" as an accident occurrence parameter and relevant statistics on mining accidents.

Stochastic modeling of accident risks associated with an underground coal mine in Turkey

Safety Science, 2009

In this study, a methodology is proposed towards development of an uncertainty model that includes randomness in the occurrence of days-lost accidents in a coal mine. The accident/injury data consists of 1390 days-lost accident cases recorded at GLI-Tuncbilek underground lignite mine from January 1994 to December 2002. In the first step of proposed methodology, the frequency and the severity of the accidents have been modeled statistically by fitting appropriate distributions. The test done by BestFit software yields a chi-square value of 21.53 (p = 0.089) with 14 degrees of freedom and estimates the parameter of lambda for Poisson distribution as 12.87 accidents/ month. For the severity component, a lognormal distribution is fitted to days-lost data and chi-square goodness-of-fit test calculates a value of 40.44 (p = 0.097) with 30 degrees of freedom. The parameters of lognormal distribution are estimated as a mean of 14.3 days and standard deviation of 23.1 days, respectively. Then, two distributions are basically combined by Monte Carlo simulation in order to construct relative risk levels in yearly base referring to the final cumulative distribution. Finally, a simple forecasting modeling is carried out in order to quantitatively predict the expected risk levels by using decomposition technique in time series analysis. Stochastic model estimates that although, there would be substantial reduction in the expected number of accidents in the near future, the higher level of risks still should be a concern for the mine management.

Geotechnical Risk Assessment in Kerman Coal Mine- Central Iran

2009

Mine safety in underground coal mines is normally threatened by the likelihood of accident occurrence. The outcome of such occurrences includes and is not limited to loss of machinery and equipment, loss of life, injury, disability, and mine closures. In this study, the Risk Priority Number (RPN) has been determined for the Kerman Coal Mine and the main causes of uncertainty found through the RPN. The implementation of a decision tree and a risk management plan considering the causes of accidents has been proposed. Data covering a complete range of every accident occurred during the time period of 2003-2008 has been analyzed and the accidents have been classified and sorted by RPN. It has been shown that amongst all types of incidents, the risk of roof failure is the most probable risk of all. It is concluded that the probability of an accident occurring every 24 days is 95%. It has been shown through the decision tree that due to the high number of accidents, the cost of investing ...

Risk Factors of Coal Mine Accidents in the Production Area of PT. XXX Kutai Timur, Indonesia

Proceedings of the 5th Universitas Ahmad Dahlan Public Health Conference (UPHEC 2019), 2020

The mining industry is known worldwide for its highly risky and hazardous working environment. Coal mining is the most dangerous occupation in Indonesia, with high frequency of injury compared to other industries. The mining sector in East Kalimantan is still a contributor to the number of accidents. Coal mine accidents are workplace accidents which occur in mining activities during the start and the end of the working hours. Based on PT. XXX's incidents resume during 2017 up to October there have been 63 accident thresholds which have caused property damage, lost time injury (LTI). The causes of accidents or injuries are important factors. Therefore, the authors decide to investigate the influencing factors of accidents in mining operation. This research used analytical survey research and case control research design. The total samples were 56 people in which 28 respondents were in the case group and 28 respondents were in the control group. The instrument in this study was a questionnaire which was adopted from previous researchers and observation sheets made by the researchers themselves. The chi-square was used to determine the association analysis with = 0.05.The results of this study indicate that the risk factors of accidents in mining sector are skills, motivation, and standard operating procedures. It can be concluded that the risk factors of mining accidents occurrence in production area of PT. XXX Kutai Timur are work skills, work motivation, and standard operating procedures. The authors recommend the companies to improve work skills through the provision of education and training, improve work motivation through rewards and punishments, and control the supervision of standard operating procedures.

Risk Analysis of Coal Miners Injuries

2010

Occupational injuries in mines represent a major problem of public health with serious social and economical consequences. The 20th century has experienced a considerable amount of success in coal mines safety across the globe. To further improve the safety standards in coal mines, application of risk analysis tools is necessary to identify and quantify potential hazards and to suggest effective solutions. Moreover, research on behavioral factors represents a promising approach to the improvement of workers'' safety. The public health approach based on the scientific methods of injury epidemiology has been explored as a risk analysis tool in this study. In this research work, an epidemiological investigation based on a matched case-control study design was conducted to examine the role of occupational factors including job hazards-related factors and individual factors including behavioral factors,lifestyle factors and health-related factors to the occurrences of injuries in...

Hazard and Risk in Mining Industry: A Case Study Based on Senghenydd Colliery Disaster

2020

The Occupational Safety and Health Administration (OSHA) in the USA defines combustible dust as a solid material which is made up of prominent particles or pieces, despite its size, shape, or chemical composition, which exhibits a fire or deflagration hazard when suspended in air over a range of concentrations. Dust explosion may occur frequently in many industrial environments where there is a presence of fine particles in air, like flour, coal, starch, sawdust etc. Mining and flour mills are the most susceptible to such dust explosions. The National Institute for Occupational Safety and Health has given the following statistics of 623 coal mining disasters (with five or more fatalities): Date Mine name Type Product Fatality

Türkiye taşkömürü kurumu yeraltı madenlerinde metan patlamalarının hata ağacı analizi yöntemiyle risk değerlendirmesi

2016

Mining is one of the most hazardous industries in the world. Among all mining professions, underground coal mining has the highest occupational accident and disease rates. Methane explosion appears as the major accident type which results in severe loss of life and property in underground coal mining. Including underground coal mines, preparing a practicable risk assessment is the primary step to sustain a safe workplace environment. The main objective of this study is to specify the root causes of methane explosions in underground hard coal mines by performing quantitative risk assessment. Total of 67 methane explosions resulted in 815 fatalities between the years 1875 and 2014 within Turkish Hard Coal Enterprises (TTK), which is the major hard coal producer in Turkey, are evaluated in order to achieve the goal. A deductive risk analysis technique, fault tree analysis (FTA), was implemented in order to specify the root causes of methane explosions. The methodology starts with exami...