High level of noise is a disturbance to the human environment. Noise in industries is also an occupational hazard because of its attendant effects on workers’ health. Noise presents health and social problems in industrial operations, and the source is related to the machineries used in the industries. One of the unique features of the noise associated with wood machinery is the level of exposure and duration. Equipment used in a factory can be extremely loud. They can produce noise at decibels high enough to cause environmental health and safety concerns. The mechanically driven transport and handling equipment, cutting, milling, shaping and dust extractor installations in the wood industry generate noise. The sources of noise pollution have increased due to non-compliance with basic safety practices. The increased use of locally fabricated machine in the industry has increased the level of noise and vibration. The effects of industrial noise pollution as discussed include: increase in blood pressure; increased stress; fatigue; vertigo; headaches; sleep disturbance; annoyance; speech problems; dysgraphia, which means reading/learning impairment; aggression; anxiety and withdrawal. As presented in this paper, noise control techniques include; sound insulation, sound absorption, vibration damping and Vibration isolation.
Published in | Biomedical Statistics and Informatics (Volume 2, Issue 2) |
DOI | 10.11648/j.bsi.20170202.13 |
Page(s) | 54-60 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Noise Pollution, Mechanical Wood Industries, Equipment, Control
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APA Style
Mayowa Jacob Owoyemi, Babajide Charles Falemara, Ayomide Joseph Owoyemi. (2017). Noise Pollution and Control in Mechanical Processing Wood Industries. Biomedical Statistics and Informatics, 2(2), 54-60. https://doi.org/10.11648/j.bsi.20170202.13
ACS Style
Mayowa Jacob Owoyemi; Babajide Charles Falemara; Ayomide Joseph Owoyemi. Noise Pollution and Control in Mechanical Processing Wood Industries. Biomed. Stat. Inform. 2017, 2(2), 54-60. doi: 10.11648/j.bsi.20170202.13
@article{10.11648/j.bsi.20170202.13, author = {Mayowa Jacob Owoyemi and Babajide Charles Falemara and Ayomide Joseph Owoyemi}, title = {Noise Pollution and Control in Mechanical Processing Wood Industries}, journal = {Biomedical Statistics and Informatics}, volume = {2}, number = {2}, pages = {54-60}, doi = {10.11648/j.bsi.20170202.13}, url = {https://doi.org/10.11648/j.bsi.20170202.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bsi.20170202.13}, abstract = {High level of noise is a disturbance to the human environment. Noise in industries is also an occupational hazard because of its attendant effects on workers’ health. Noise presents health and social problems in industrial operations, and the source is related to the machineries used in the industries. One of the unique features of the noise associated with wood machinery is the level of exposure and duration. Equipment used in a factory can be extremely loud. They can produce noise at decibels high enough to cause environmental health and safety concerns. The mechanically driven transport and handling equipment, cutting, milling, shaping and dust extractor installations in the wood industry generate noise. The sources of noise pollution have increased due to non-compliance with basic safety practices. The increased use of locally fabricated machine in the industry has increased the level of noise and vibration. The effects of industrial noise pollution as discussed include: increase in blood pressure; increased stress; fatigue; vertigo; headaches; sleep disturbance; annoyance; speech problems; dysgraphia, which means reading/learning impairment; aggression; anxiety and withdrawal. As presented in this paper, noise control techniques include; sound insulation, sound absorption, vibration damping and Vibration isolation.}, year = {2017} }
TY - JOUR T1 - Noise Pollution and Control in Mechanical Processing Wood Industries AU - Mayowa Jacob Owoyemi AU - Babajide Charles Falemara AU - Ayomide Joseph Owoyemi Y1 - 2017/02/24 PY - 2017 N1 - https://doi.org/10.11648/j.bsi.20170202.13 DO - 10.11648/j.bsi.20170202.13 T2 - Biomedical Statistics and Informatics JF - Biomedical Statistics and Informatics JO - Biomedical Statistics and Informatics SP - 54 EP - 60 PB - Science Publishing Group SN - 2578-8728 UR - https://doi.org/10.11648/j.bsi.20170202.13 AB - High level of noise is a disturbance to the human environment. Noise in industries is also an occupational hazard because of its attendant effects on workers’ health. Noise presents health and social problems in industrial operations, and the source is related to the machineries used in the industries. One of the unique features of the noise associated with wood machinery is the level of exposure and duration. Equipment used in a factory can be extremely loud. They can produce noise at decibels high enough to cause environmental health and safety concerns. The mechanically driven transport and handling equipment, cutting, milling, shaping and dust extractor installations in the wood industry generate noise. The sources of noise pollution have increased due to non-compliance with basic safety practices. The increased use of locally fabricated machine in the industry has increased the level of noise and vibration. The effects of industrial noise pollution as discussed include: increase in blood pressure; increased stress; fatigue; vertigo; headaches; sleep disturbance; annoyance; speech problems; dysgraphia, which means reading/learning impairment; aggression; anxiety and withdrawal. As presented in this paper, noise control techniques include; sound insulation, sound absorption, vibration damping and Vibration isolation. VL - 2 IS - 2 ER -