Journal of Korean Society of Forest Science (한국산림과학회지)

Korean Society of Forest Science (한국산림과학회)
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Postural Risk Assessment of Weed and Kudzu Removal Operations

숲가꾸기를 위한 풀베기와 칡덩굴제거작업의 근골격계 부담 분석

  • Lee, Eunjai (Forest Technology and Management Research Center, National Institute of Forest Science) ;
  • Baek, Seung-An (Forest Technology and Management Research Center, National Institute of Forest Science) ;
  • Cho, Koo-Hyun (Forest Technology and Management Research Center, National Institute of Forest Science)
  • 이은재 (국립산림과학원 산림기술경영연구소) ;
  • 백승안 (국립산림과학원 산림기술경영연구소) ;
  • 조구현 (국립산림과학원 산림기술경영연구소)
  • Received : 2020.02.10
  • Accepted : 2020.04.16
  • Published : 2020.06.30
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Abstract

A forest operation is considered as one of the riskiest environments for the development of musculoskeletal disorders because operators are exposed to harmful environmental conditions such as rough terrain, inclement weather, and poor working postures. In weed and kudzu removal operations, manual application is still common in Korea. In this study, we evaluated the ergonomic conditions of weed and kudzu removal in regeneration forests and the associated risk of musculoskeletal disorders. The risk of musculoskeletal disorders was evaluated using the Ovako Working Posture Analysis System and postural risk index. Postural risk was significantly higher for kudzu compared with weed removal operations. This suggests that kudzu removal operations must be improved to decrease postural risk.

산림작업은 비정형화된 작업 환경(날씨, 지형)에서 신체의 반복적인 동작 등으로 인하여 근골격계 질환에 취약하다. 특히, 조림목의 원활한 생장을 위해 실행하는 풀베기와 칡덩굴제거 작업은 여전히 많은 인력이 투입되고 있으며, 이 작업자세에 대한 인간공학적 평가가 필요하다. 따라서 본 연구에서는 OWAS (Ovako Working Posture Analysis System) 분석방법을 이용하여 예초기를 이용한 풀베기 작업과 낫·손톱을 이용한 칡덩굴제거 작업의 신체부담을 정량적으로 평가하였다. 또한 작업자세 위험도 지수(Postural risk index: PRI)를 통하여 산림작업의 위험 정도를 분석하였다. 풀베기와 칡덩굴제거 작업원에 대한 작업자세를 분석한 결과, 칡덩굴제거작업의 작업자세 위험성이 풀베기작업에 비해 통계적으로 더 높은 수준을 보였다. 칡덩굴을 제거하는 작업 과정 중에서 다리에서는 두 다리를 구부리는 자세와 무릎 꿇는 자세의 비율이 높게 나타나기 때문에 근골격계에 부정적 영향을 미치는 것으로 판단된다. 이 연구결과는 풀베기와 칡덩굴제거 작업원의 작업부하 및 근골격계 질환을 저감하는 기초자료로 활용될 수 있을 것으로 기대된다.

Keywords

References

  1. Borz, S.A., Talagai, N., Cheţa, M., Chirilou, D., Vinicio, A., Montoya, G., Vizuete, D.D.C. and Marcu, M.V. 2019. Physical strain, exposure to noise and postural assessment in motor-manual felling of willow short rotation coppice: results of a preliminary study. Croatian Journal of Forest Engineering 40(2): 377-388. https://doi.org/10.5552/crojfe.2019.550
  2. Calvo, A. 2009. Musculoskeletal disorders (MSD) risks in forestry: A case study to propose an analysis method. Agricultural Engineering International 11: 1-9.
  3. Cheţa, M., Marcu, M.V. and Borz, S.A. 2018. Workload, exposure to noise, and risk of musculoskeletal disorders: a case study of motor-manual tree feeling and processing in Poplar clear cuts. Forests 9(6): 300. https://doi.org/10.3390/f9060300
  4. Diego-Mas, J., Poveda-Bautista, R. and Garzon-Lel, D. 2015. Influences of the use of observational methods by practitioners when identifying risk factors in physical work. Ergonomics 58(10): 1660-1670. https://doi.org/10.1080/00140139.2015.1023851
  5. Genaidy, A., Al-Shed, A. and Karwowski, K. 1994. Postural stress analysis in industry. Applied Ergonomics 25(2): 77-87. https://doi.org/10.1016/0003-6870(94)90068-X
  6. Hignett, S. and McAtamney, L. 2000. Rapid Entire Body Assessment(REBA). Applied Ergonomics 31(2): 201-205. https://doi.org/10.1016/S0003-6870(99)00039-3
  7. Justavino, F.C., Ramirez, R.J., Perez, N.M. and Borz, S.A. 2015. The use of OWAS in forest operations postural assessment: advantages and limitations. Bulletin of the Transilvania University of Brasov. Forestry, Wood Industry, Agricultural Food Engineering. Series II 8(2): 7-16.
  8. Kivi, P. and Mattila, M. 1991. Analysis and improvement of work postures in the building industry: Application of the computerized OWAS method. Applied Ergonomics 22(1): 43-48. https://doi.org/10.1016/0003-6870(91)90009-7
  9. Klun, J. and Medved, M. 2007. Fatal accidents in forestry in some European countries. Croatian Journal of Forest Engineering 28(1): 55-62.
  10. Korea Frorest Service (KFS). 2019. Statistical Yearbook of Forestry.
  11. Korea Statistical Information Service (KOSIS). 2020. http://www.kosis.kr (2020. 3. 30)
  12. Korean Occupational Safety and Health Agency (KOSHA). 2020. http://www.kosha.or.kr (2020. 1. 7)
  13. Lee, J.W. and Park, B-J. 2001. Analysis of working posture using OWAS in forest work. Journal of Korean Forest Society 90(3): 388-397.
  14. McAtamney, L. and Corlett, E.N. 1993. RULA : a survey method for the investigation of work-related upper limb disorders. Applied Ergonomics 24(2): 91-99. https://doi.org/10.1016/0003-6870(93)90080-S
  15. National Institute for Occupational Safety and Health Logging Safety (NIOSH). 2020. http://www.cdc.gov (2020. 1. 7)
  16. National Law Information Center. 2020. http://www.law.go.kr/ (2020. 1. 7.)
  17. Potocnik, I. and Poje, A. 2017. Forestry ergonomics and occupational safety in high ranking scientific journals from 2005-2016. Croatian Journal of Forest Engineering 28(2): 291-310.
  18. Sarkar, K., Dev, S., Das, T., Chakrabarty, S. and Gangopadhyay, S. 2016. Examination of postures and frequency of musculoskeletal disorders among manual workers in Calcutta, India. International Journal of Occupational and Environmental Health 22(2): 1-83. https://doi.org/10.1080/10773525.2015.1106074
  19. Spinelli, R., Aminti, G., Maganotti, N. and De Francesco, F. 2018. Postural risk assessment of small-scale debarkers for wood post production. Forests 9(3): 111. https://doi.org/10.3390/f9030111
  20. Yongang, W. and Baojun, J. 1998. Effects of low temperature on operation efficiency of tree-felling by chainsaws in north China. Journal of Forestry Research 9: 57-58. https://doi.org/10.1007/BF02856458