A Model for Environmental Quarry System based on Particles, Vibration and Noise Components
Abstract
Environment is the surroundings in which an organization functions, including air, water, land, natural resources, flora, fauna, humans, and their interrelation. Surroundings in this context extend from within an organization to the global system. While the environmental impact refers to any change to the environment, whether adverse or beneficial, wholly or partially resulting from an organization's activities, products or services. Environmental Management System is the part of the overall management system that includes organizational structure, planning activities, responsibilities, practices, procedures, processes and resources for developing, implementing, achieving, reviewing and maintaining the environmental policy. The aim of this study is present model for environmental quarry components which are particles, Vibration and Noise (PVN) object. In addition, this study presented that noise emission sources in quarries and construction sites as being emitted from; mobile equipment, fixed processing plant and equipment, transportation (road and rail), blasting and construction and vibration main classified to Air Overpressure, ground vibration and fly rock and the last noise also dust emissions inventory for quarrying are Drilling, blasting, Handling of limestone, and Mineral processing had high significance dust emissions. To examine the model some sort of descriptive survey has been applied. According to a sort of a group’s random choosing skim, the survey sample population consisted of 285 randomly obtained from people who are living and work surrounding Langkawi Quarry (Malaysia). A significant part of the result discovered environmental quarry relate directly with research main factors such as particles, dust and vibration and its sub factors and the model be useful for environment quarry and practically environmental quarry system.References
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[24] Raisian, K., and Yahaya, J. 2016. Security Issues Model on Cloud Computing: A Case of Malaysia, International Journal of Advanced Computer Science and Applications (IJACSA), 6(8): 216-223. DOI: http://dx.doi.org/10.14569/ IJACSA.2015.060829
[25] Raisian, K., and Yahaya, J. 2015. A Research Framework for Environmental Quarry System. 2nd International Research Management & Innovation Conference (IRMIC) LANGKAWI, 26 – 27 August 2015. Available at: rmc.kuis.edu.my /irmic/e-proceedings/e-proceeding-irmic-2015/
[26] Rezaei, M., Monjezi, M., and Varjani, A.Y. 2011. Development of a fuzzy model to predict flyrock in surface mining. Safety Science, 49(2): 298-305.
[27] Rodríguez, R., Lombardía, C., and Torno, S. 2010. Prediction of the air wave due to blasting inside tunnels: approximation to a ‘phonometric curve’. Tunnelling and Underground Space Technology, 25(4): 483-489.
[28] Roy, S., and Adhikari, G.R. 2007. Worker noise exposures from diesel and electric surface coal mining machinery. Noise Control Engineering Journal, 55(5): 434-437.
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[30] Tonnizam Mohamad, E., Hajihassani, M., Jahed Armaghani, D., and Marto, A. 2012. Simulation of blasting-induced air overpressure by means of artificial neural networks. International Review on Modelling and Simulations, 5(6): 2501-2506.
[31] Vardhan, H., and Govinda Raj, M. 2008. An experimental investigation of the sound level produced by bulldozers with various maintenance schedules. International Journal of Vehicle Noise and Vibration, 4(2): 107-122.
[32] Vasović, D., Kostić, S., Ravilić, M., and Trajković, S., 2014. Environmental impact of blasting at Drenovac limestone quarry (Serbia). Environmental Earth Sciences, 72(10): 3915-3928.
*** University of Nottingham. Cleaner Quarries: Optimizing Environmental Performance, Mineral Industry Sustainable Technology, 2004.
[2] Atakan, M. 2010. Determination of Noise Induced Hearing Lost in Mining: A Sample of Stone Crushing and Screening Plant. MsC Thesis, Osmangazi University, Eskisehir, pp. 68.
[3] Beck, K., Al-Mukhtar, M., Rozenbaum, O., and Rautureau, M. 2003. Characterization, water transfer properties and deterioration in tuffeau: building material in the Loire valley - France. Building and environment, 38(9): 1151-1162.
[4] Branquinho, C., Gaio-Oliveira, G., Augusto, S., Pinho, P., Máguas, C., and Correia, O. 2008. Biomonitoring spatial and temporal impact of atmospheric dust from a cement industry. Environmental Pollution, 151(2): 292-299.
[5] Chaulya, S.K., Chakraborty, M.K., and Singh, R.S. 2001. Air pollution modelling for a proposed limestone quarry. Water, Air, and Soil Pollution, 126(1-2): 171-191.
[6] Chegenye, B. 2011. Factors influencing the sustainable rehabilitation and restoration of quarried land; the case of Bamburi Cement Company (Doctoral dissertation, University of Nairobi, Kenya).
[7] Cinar, I., and Sensogut, C. 2013. Evaluation of Noise Measurements Performed in Mining Sites for Environmental Aspects. International Journal of Environmental Research, 7(2): 383-386.
[8] Eidem, M., Tverlid, S.W., Abdollahi, J., Torsvoll, A., and Statoil Petroleum As. 2011. Method and apparatus for drilling and lining a wellbore. U.S. Patent Application 13/982,000.
[9] Ghasemi, M., Olszewski, P., Bradley, J.W., and Walsh, J.L. 2013. Interaction of multiple plasma plumes in an atmospheric pressure plasma jet array. Journal of Physics D: Applied Physics, 46(5). DOI: http://dx.doi.org/10.1088/0022-3727/46/5/052001.
[10] Ghose, M.K., and Majee, S.R. 2000. Assessment of dust generation due to opencast coal mining–an Indian case study. Environmental Monitoring and Assessment, 61(2): 257-265.
[11] Ghose, M.K., 2007. Generation and quantification of hazardous dusts from coal mining in the Indian context. Environmental Monitoring and Assessment, 130(1-3): 35-45.
[12] Hajihassani, M., Armaghani, D.J., Sohaei, H., Mohamad, E.T., and Marto, A. 2014. Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization. Applied Acoustics, 80: 57-67.
[13] Hajihassani, M., Jahed Armaghani, D. Sohaei, H., Tonnizam Mohamad, E., and Marto, A. 2014. Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization. Applied Acoustics, 80: 57-67.
[14] Hepworth, P. and Bassett, P. 2007. Noise from equipment used on construction sites, quarries and waste disposal sites in the UK. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 6: 1470-1475. Institute of Noise Control Engineering.
[15] Jones, D.L., Chesworth, S., Khalid, M. and Iqbal, Z. 2009. Assessing the addition of mineral processing waste to green waste-derived compost: An agronomic, environmental and economic appraisal. Bioresource technology, 100(2): 770-777.
[16] Joseph, T.G. Welz, M. 2003. Mechanical action and geophysical reaction: equipment - oil sand interactions. In Calgary, CIM Conference.
[17] Khandelwal, M., and Kankar, P.K. 2011. Prediction of blast-induced air overpressure using support vector machine. Arabian Journal of Geosciences, 4(3-4): 427-433.
[18] Khandelwal, M., and Singh, T.N. 2005. Prediction of blast induced air overpressure in opencast mine. Noise & Vibration Worldwide, 36(2): 7-16.
[19] Kuzu, C. and Ergin, H. 2005. An assessment of environmental impacts of quarry-blasting operation: a case study in Istanbul, Turkey. Environmental Geology, 48(2): 211-217.
[20] Monjezi, M., Ghafurikalajahi, M. and Bahrami, A. 2011. Prediction of blast-induced ground vibration using artificial neural networks. Tunnelling and Underground Space Technology, 26(1): 46-50.
[21] Oliveira, G., Nunes, A., Clemente, A. and Correia, O. 2011. Effect of substrate treatments on survival and growth of Mediterranean shrubs in a revegetated quarry: an eight-year study. Ecological Engineering, 37(2): 255-259.
[22] Pietrodangelo, A., Salzano, R., Bassani, C., Pareti, S., and Perrino, C. 2015. Composition, size distribution, optical properties, and radiative effects of laboratory-resuspended PM 10 from geological dust of the Rome area, by electron microscopy and radiative transfer modelling. Atmospheric Chemistry and Physics, 15(22): 13177-13194.
[23] Raisian, K., Yahaya, J. 2014. Review Paper: Critical Factors of User Resistance in Post-ERP Implementation within an Organization. International Journal of Research in Social Sciences, 4(8):14-24. Available at: ijsk.org/uploads/3/1/1/7/.../2_user_resistance_in_post-erp_implementation.pdf
[24] Raisian, K., and Yahaya, J. 2016. Security Issues Model on Cloud Computing: A Case of Malaysia, International Journal of Advanced Computer Science and Applications (IJACSA), 6(8): 216-223. DOI: http://dx.doi.org/10.14569/ IJACSA.2015.060829
[25] Raisian, K., and Yahaya, J. 2015. A Research Framework for Environmental Quarry System. 2nd International Research Management & Innovation Conference (IRMIC) LANGKAWI, 26 – 27 August 2015. Available at: rmc.kuis.edu.my /irmic/e-proceedings/e-proceeding-irmic-2015/
[26] Rezaei, M., Monjezi, M., and Varjani, A.Y. 2011. Development of a fuzzy model to predict flyrock in surface mining. Safety Science, 49(2): 298-305.
[27] Rodríguez, R., Lombardía, C., and Torno, S. 2010. Prediction of the air wave due to blasting inside tunnels: approximation to a ‘phonometric curve’. Tunnelling and Underground Space Technology, 25(4): 483-489.
[28] Roy, S., and Adhikari, G.R. 2007. Worker noise exposures from diesel and electric surface coal mining machinery. Noise Control Engineering Journal, 55(5): 434-437.
[29] Schmidt, M., Glasson, J., Emmelin, L., Helbron, H. eds., 2008. Standards and thresholds for Impact Assessment (Volume 3). Springer Science & Business Media.
[30] Tonnizam Mohamad, E., Hajihassani, M., Jahed Armaghani, D., and Marto, A. 2012. Simulation of blasting-induced air overpressure by means of artificial neural networks. International Review on Modelling and Simulations, 5(6): 2501-2506.
[31] Vardhan, H., and Govinda Raj, M. 2008. An experimental investigation of the sound level produced by bulldozers with various maintenance schedules. International Journal of Vehicle Noise and Vibration, 4(2): 107-122.
[32] Vasović, D., Kostić, S., Ravilić, M., and Trajković, S., 2014. Environmental impact of blasting at Drenovac limestone quarry (Serbia). Environmental Earth Sciences, 72(10): 3915-3928.
*** University of Nottingham. Cleaner Quarries: Optimizing Environmental Performance, Mineral Industry Sustainable Technology, 2004.
Published
2016-11-14
How to Cite
RAISIAN, Komeil et al.
A Model for Environmental Quarry System based on Particles, Vibration and Noise Components.
Journal of Environmental Management and Tourism, [S.l.], v. 7, n. 2, p. 185-193, nov. 2016.
ISSN 2068-7729.
Available at: <https://journals.aserspublishing.eu/jemt/article/view/324>. Date accessed: 03 july 2024.
Section
Journal of Environmental Management and Tourism
Keywords
environmental quarry model; noise; vibration; particles and dust; quarry system
Copyright© 2023 The Author(s). Published by ASERS Publishing 2023. This is an open access article distributed under the terms of CC-BY 4.0 license.