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Akbar Esfahanipour - One of the best experts on this subject based on the ideXlab platform.

  • human health and safety risks management in underground Coal Mines using fuzzy topsis
    Science of The Total Environment, 2014
    Co-Authors: Satar Mahdevari, Kourosh Shahriar, Akbar Esfahanipour
    Abstract:

    The scrutiny of health and safety of personnel working in underground Coal Mines is heightened because of fatalities and disasters that occur every year worldwide. A methodology based on fuzzy TOPSIS was proposed to assess the risks associated with human health in order to manage control measures and support decision-making, which could provide the right balance between different concerns, such as safety and costs. For this purpose, information collected from three hazardous Coal Mines namely Hashouni, Hojedk and Babnizu located at the Kerman Coal deposit, Iran, were used to manage the risks affecting the health and safety of their miners. Altogether 86 hazards were identified and classified under eight categories: geomechanical, geochemical, electrical, mechanical, chemical, environmental, personal, and social, cultural and managerial risks. Overcoming the uncertainty of qualitative data, the ranking process is accomplished by fuzzy TOPSIS. After running the model, twelve groups with different risks were obtained. Located in the first group, the most important risks with the highest negative effects are: materials falling, catastrophic failure, instability of Coalface and immediate roof, firedamp explosion, gas emission, misfire, stopping of ventilation system, wagon separation at inclines, asphyxiation, inadequate training and poor site management system. According to the results, the proposed methodology can be a reliable technique for management of the minatory hazards and coping with uncertainties affecting the health and safety of miners when performance ratings are imprecise. The proposed model can be primarily designed to identify potential hazards and help in taking appropriate measures to minimize or remove the risks before accidents can occur. Language: en

  • human health and safety risks management in underground Coal Mines using fuzzy topsis
    Science of The Total Environment, 2014
    Co-Authors: Satar Mahdevari, Kourosh Shahriar, Akbar Esfahanipour
    Abstract:

    The scrutiny of health and safety of personnel working in underground Coal Mines is heightened because of fatalities and disasters that occur every year worldwide. A methodology based on fuzzy TOPSIS was proposed to assess the risks associated with human health in order to manage control measures and support decision-making, which could provide the right balance between different concerns, such as safety and costs. For this purpose, information collected from three hazardous Coal Mines namely Hashouni, Hojedk and Babnizu located at the Kerman Coal deposit, Iran, were used to manage the risks affecting the health and safety of their miners. Altogether 86 hazards were identified and classified under eight categories: geomechanical, geochemical, electrical, mechanical, chemical, environmental, personal, and social, cultural and managerial risks. Overcoming the uncertainty of qualitative data, the ranking process is accomplished by fuzzy TOPSIS. After running the model, twelve groups with different risks were obtained. Located in the first group, the most important risks with the highest negative effects are: materials falling, catastrophic failure, instability of Coalface and immediate roof, firedamp explosion, gas emission, misfire, stopping of ventilation system, wagon separation at inclines, asphyxiation, inadequate training and poor site management system. According to the results, the proposed methodology can be a reliable technique for management of the minatory hazards and coping with uncertainties affecting the health and safety of miners when performance ratings are imprecise. The proposed model can be primarily designed to identify potential hazards and help in taking appropriate measures to minimize or remove the risks before accidents can occur.

Satar Mahdevari - One of the best experts on this subject based on the ideXlab platform.

  • human health and safety risks management in underground Coal Mines using fuzzy topsis
    Science of The Total Environment, 2014
    Co-Authors: Satar Mahdevari, Kourosh Shahriar, Akbar Esfahanipour
    Abstract:

    The scrutiny of health and safety of personnel working in underground Coal Mines is heightened because of fatalities and disasters that occur every year worldwide. A methodology based on fuzzy TOPSIS was proposed to assess the risks associated with human health in order to manage control measures and support decision-making, which could provide the right balance between different concerns, such as safety and costs. For this purpose, information collected from three hazardous Coal Mines namely Hashouni, Hojedk and Babnizu located at the Kerman Coal deposit, Iran, were used to manage the risks affecting the health and safety of their miners. Altogether 86 hazards were identified and classified under eight categories: geomechanical, geochemical, electrical, mechanical, chemical, environmental, personal, and social, cultural and managerial risks. Overcoming the uncertainty of qualitative data, the ranking process is accomplished by fuzzy TOPSIS. After running the model, twelve groups with different risks were obtained. Located in the first group, the most important risks with the highest negative effects are: materials falling, catastrophic failure, instability of Coalface and immediate roof, firedamp explosion, gas emission, misfire, stopping of ventilation system, wagon separation at inclines, asphyxiation, inadequate training and poor site management system. According to the results, the proposed methodology can be a reliable technique for management of the minatory hazards and coping with uncertainties affecting the health and safety of miners when performance ratings are imprecise. The proposed model can be primarily designed to identify potential hazards and help in taking appropriate measures to minimize or remove the risks before accidents can occur. Language: en

  • human health and safety risks management in underground Coal Mines using fuzzy topsis
    Science of The Total Environment, 2014
    Co-Authors: Satar Mahdevari, Kourosh Shahriar, Akbar Esfahanipour
    Abstract:

    The scrutiny of health and safety of personnel working in underground Coal Mines is heightened because of fatalities and disasters that occur every year worldwide. A methodology based on fuzzy TOPSIS was proposed to assess the risks associated with human health in order to manage control measures and support decision-making, which could provide the right balance between different concerns, such as safety and costs. For this purpose, information collected from three hazardous Coal Mines namely Hashouni, Hojedk and Babnizu located at the Kerman Coal deposit, Iran, were used to manage the risks affecting the health and safety of their miners. Altogether 86 hazards were identified and classified under eight categories: geomechanical, geochemical, electrical, mechanical, chemical, environmental, personal, and social, cultural and managerial risks. Overcoming the uncertainty of qualitative data, the ranking process is accomplished by fuzzy TOPSIS. After running the model, twelve groups with different risks were obtained. Located in the first group, the most important risks with the highest negative effects are: materials falling, catastrophic failure, instability of Coalface and immediate roof, firedamp explosion, gas emission, misfire, stopping of ventilation system, wagon separation at inclines, asphyxiation, inadequate training and poor site management system. According to the results, the proposed methodology can be a reliable technique for management of the minatory hazards and coping with uncertainties affecting the health and safety of miners when performance ratings are imprecise. The proposed model can be primarily designed to identify potential hazards and help in taking appropriate measures to minimize or remove the risks before accidents can occur.

Kourosh Shahriar - One of the best experts on this subject based on the ideXlab platform.

  • human health and safety risks management in underground Coal Mines using fuzzy topsis
    Science of The Total Environment, 2014
    Co-Authors: Satar Mahdevari, Kourosh Shahriar, Akbar Esfahanipour
    Abstract:

    The scrutiny of health and safety of personnel working in underground Coal Mines is heightened because of fatalities and disasters that occur every year worldwide. A methodology based on fuzzy TOPSIS was proposed to assess the risks associated with human health in order to manage control measures and support decision-making, which could provide the right balance between different concerns, such as safety and costs. For this purpose, information collected from three hazardous Coal Mines namely Hashouni, Hojedk and Babnizu located at the Kerman Coal deposit, Iran, were used to manage the risks affecting the health and safety of their miners. Altogether 86 hazards were identified and classified under eight categories: geomechanical, geochemical, electrical, mechanical, chemical, environmental, personal, and social, cultural and managerial risks. Overcoming the uncertainty of qualitative data, the ranking process is accomplished by fuzzy TOPSIS. After running the model, twelve groups with different risks were obtained. Located in the first group, the most important risks with the highest negative effects are: materials falling, catastrophic failure, instability of Coalface and immediate roof, firedamp explosion, gas emission, misfire, stopping of ventilation system, wagon separation at inclines, asphyxiation, inadequate training and poor site management system. According to the results, the proposed methodology can be a reliable technique for management of the minatory hazards and coping with uncertainties affecting the health and safety of miners when performance ratings are imprecise. The proposed model can be primarily designed to identify potential hazards and help in taking appropriate measures to minimize or remove the risks before accidents can occur. Language: en

  • human health and safety risks management in underground Coal Mines using fuzzy topsis
    Science of The Total Environment, 2014
    Co-Authors: Satar Mahdevari, Kourosh Shahriar, Akbar Esfahanipour
    Abstract:

    The scrutiny of health and safety of personnel working in underground Coal Mines is heightened because of fatalities and disasters that occur every year worldwide. A methodology based on fuzzy TOPSIS was proposed to assess the risks associated with human health in order to manage control measures and support decision-making, which could provide the right balance between different concerns, such as safety and costs. For this purpose, information collected from three hazardous Coal Mines namely Hashouni, Hojedk and Babnizu located at the Kerman Coal deposit, Iran, were used to manage the risks affecting the health and safety of their miners. Altogether 86 hazards were identified and classified under eight categories: geomechanical, geochemical, electrical, mechanical, chemical, environmental, personal, and social, cultural and managerial risks. Overcoming the uncertainty of qualitative data, the ranking process is accomplished by fuzzy TOPSIS. After running the model, twelve groups with different risks were obtained. Located in the first group, the most important risks with the highest negative effects are: materials falling, catastrophic failure, instability of Coalface and immediate roof, firedamp explosion, gas emission, misfire, stopping of ventilation system, wagon separation at inclines, asphyxiation, inadequate training and poor site management system. According to the results, the proposed methodology can be a reliable technique for management of the minatory hazards and coping with uncertainties affecting the health and safety of miners when performance ratings are imprecise. The proposed model can be primarily designed to identify potential hazards and help in taking appropriate measures to minimize or remove the risks before accidents can occur.

  • assessment of roof fall risk during retreat mining in room and pillar Coal Mines
    International Journal of Rock Mechanics and Mining Sciences, 2012
    Co-Authors: Ebrahim Ghasemi, Kourosh Shahriar, Mohammad Ataei, Farhang Sereshki, Seyed M E Jalali, Ahmad Ramazanzadeh
    Abstract:

    Abstract One of the most challenging safety problems in room and pillar Coal Mines is roof fall phenomena during retreat mining. Roof fall not only causes fatal and non-fatal injuries on miners, stoppages in mining operations and equipment breakdowns, but also results in inefficient recovery of ore reserves. As a result, development of a methodology for risk assessment of roof fall has a remarkable role on safety of retreat mining. In this paper, at first all effective parameters on roof fall during retreat mining are identified and then the role of each parameter on roof fall occurrence is explained. Afterwards, a practical methodology is developed for assessment and control of roof fall risk using semi-quantitative techniques. Finally, this methodology is applied in main panel of Tabas Central Mine, located in the mid-eastern of Iran, and various possible scenarios of retreat mining and corresponding risks are evaluated.

Vaclav Zubicek - One of the best experts on this subject based on the ideXlab platform.

  • an investigation of the factors associated with interpretation of mine atmosphere for spontaneous combustion in Coal Mines
    Fuel Processing Technology, 2011
    Co-Authors: Alois Adamus, Jindřich Sancer, Pavla Guřanova, Vaclav Zubicek
    Abstract:

    The risk of spontaneous combustion of Coal is highly serious especially in gaseous underground Coal Mines. In many cases such a spontaneous combustion is a source of initiation of methane-explosive mixture with tragic consequences. Early indication of spontaneous combustion and determination of its seat temperature is in a given environment a key part of safety of underground Coal Mines. A commonly used method for the detection of spontaneous combustion is an interpretation of Coal oxidation gas products whose historical roots go back to the first halve of the 20th century as Graham's ratio. In the second half of this century a wide research on application of desorbed higher hydrocarbons C1–C4 and hydrogen for the given purpose took place. Until now, the interpretations in question encounter significant inaccuracies. The paper describes the research on factors affecting the accuracy of the determination of Coal spontaneous combustion temperature on conditions of underground Coal Mines. The research was focused on the accuracy of interpretation of mine gases in connection with the use of laboratory verified gas characteristics of thermal oxidation of Coal. Three chromatograph laboratories had been involved to test thermal oxidation of Coal to determine a deviation of spontaneous combustion gases. The variability among the laboratories and used techniques were insignificant. Besides the laboratory methods, it may not reflect processes in Coal Mines and one of the results was that Coal itself had been a source of substantial variability of desorption of spontaneous combustion gases. The spontaneous combustion data still requires human interpretation. Simple criteria for providing warning by a computer do not exist just yet.

  • an investigation of the factors associated with interpretation of mine atmosphere for spontaneous combustion in Coal Mines
    Fuel Processing Technology, 2011
    Co-Authors: Alois Adamus, Jindřich Sancer, Pavla Guřanova, Vaclav Zubicek
    Abstract:

    The risk of spontaneous combustion of Coal is highly serious especially in gaseous underground Coal Mines. In many cases such a spontaneous combustion is a source of initiation of methane-explosive mixture with tragic consequences. Early indication of spontaneous combustion and determination of its seat temperature is in a given environment a key part of safety of underground Coal Mines. A commonly used method for the detection of spontaneous combustion is an interpretation of Coal oxidation gas products whose historical roots go back to the first halve of the 20th century as Graham's ratio. In the second half of this century a wide research on application of desorbed higher hydrocarbons C1–C4 and hydrogen for the given purpose took place. Until now, the interpretations in question encounter significant inaccuracies. The paper describes the research on factors affecting the accuracy of the determination of Coal spontaneous combustion temperature on conditions of underground Coal Mines. The research was focused on the accuracy of interpretation of mine gases in connection with the use of laboratory verified gas characteristics of thermal oxidation of Coal. Three chromatograph laboratories had been involved to test thermal oxidation of Coal to determine a deviation of spontaneous combustion gases. The variability among the laboratories and used techniques were insignificant. Besides the laboratory methods, it may not reflect processes in Coal Mines and one of the results was that Coal itself had been a source of substantial variability of desorption of spontaneous combustion gases. The spontaneous combustion data still requires human interpretation. Simple criteria for providing warning by a computer do not exist just yet.

Ed Thimons - One of the best experts on this subject based on the ideXlab platform.

  • mitigating Coal dust explosions in modern underground Coal Mines
    Social Science Research Network, 2009
    Co-Authors: Marcia L Harris, Kenneth L Cashdollar, Ed Thimons
    Abstract:

    The N ational Institute for Occupational Safety and Health (NIOSH), as part of its continuing research program for evaluating Coal dust explosion hazards, has investigated several areas in which current practices may need to be updated in order to adequately protect Mines against Coal dust propagated explosions. In the United States, current rock dusting requirements remained largely unchanged since 1969. US Title 30 Code of Federal Regulations Section 75.403 is based on a Coal dust particle size survey performed in the 1920s and later was supplemented by full-scale testing of the rock dust ability to inert a Coal dust explosion. NIOSH recently conducted a comprehensive survey of US underground Coal Mines to determine the range of Coal particle sizes found in dust samples collected from the mine entries. Due to advancements in technology and modern Coal mining techniques, the current Coal dust particles in intake airways are significantly finer than those found in the Mines in the 1920s. According to past full-scale dust explosion test results, t he current rock dusting practices used in today’s Mines to inert a Coal dust e xplosion may not be adequate. Other closely related issues such as rock dust testing methods and sampling procedures are discussed.