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Analysis of the Relationship Between the Characteristics of the Wind Damaged Trees and the Wind Caused by Typhoon 'Kompasu'

태풍 곤파스에 의해 발생한 풍도목 특성과 바람과의 관계 분석

  • Youn, Ho Joong (Department of Forest Conservation, Korea Forest Research Institute) ;
  • Park, Ki Hyung (Department of Forest Conservation, Korea Forest Research Institute) ;
  • Lee, Myungbo (Department of Forest Conservation, Korea Forest Research Institute) ;
  • Won, Myoungsoo (Department of Forest Conservation, Korea Forest Research Institute) ;
  • Kim, Kyongha (Department of Forest Conservation, Korea Forest Research Institute)
  • 윤호중 (국립산림과학원 산림보전부) ;
  • 박기형 (국립산림과학원 산림보전부) ;
  • 이명보 (국립산림과학원 산림보전부) ;
  • 원명수 (국립산림과학원 산림보전부) ;
  • 김경하 (국립산림과학원 산림보전부)
  • Received : 2011.03.02
  • Accepted : 2011.05.17
  • Published : 2011.06.30

Abstract

This study was carried out to investigate the characteristics of wind damaged trees in the Hongneung Arboretumin Korea. Many trees in the Hongneung Arboretum were damaged by the 'Kompasu', the seventh typhoon in the year of 2010 having strong impacts on the central region of Korea. Damaged trees were divided into 3 damage types: windthrow, slanted and broken trees. Most of damaged trees (97.3%) were found at low slope (below 15 degree) or medium slope (15~20 degree). The 45.3% of damaged trees were coniferous and 54.7% were deciduous trees. The wind speed was recorded for the duration of the typhoon from 04:00 AM to 12:00 PM on September 2. The average wind speed and the maximum instantaneous wind speed inside the forest were 1.4 m/sec and 3.5 m/sec, respectively. The highest peak of the average and the maximum instantaneous wind speed inside of forest, 3.4 m/sec and 8.7 m/sec respectively, were recorded at 06:10 AM on September 2. To analyze relationship between wind characteristics and the damage types, the average wind speed and the frequency of wind wave was compared to those of pre-typhoon period (Feb. 13, Feb. 20, Apr. 21, Oct. 16, 2009 and Mar. 20, 2010). The results indicated that the damaged trees were affected by frequent wind wave rather than the wind speed itself. Also average wind direction inside the forest was analyzed to investigate the impact of wind direction on the damaged trees. The wind had mainly blown from SE and SW, and the maximum instantaneous wind direction was SE direction overall. Most of the damaged trees (84.0%) had fallen down to the NW or NE direction. This result showed that the fallen direction of the damaged trees and wind direction was highly related. Therefore, we found that the frequency of wind wave was the main factor of wind damages during the typhoon 'Kompasu' and wind direction was highly related to the fallen direction.

본 연구는 2010년 9월 2일 강한 바람으로 우리나라 중부 지방에 영향을 미친 제7호 태풍 곤파스로 인해 피해를 입은 홍릉수목원 내 풍도목을 대상으로 풍도목의 특징, 임내 외 풍향 및 풍속의 특징을 구명하고자 실시하였다. 풍도목은 피해 유형에 따라 바람에 쓰러진 나무, 기울어진 나무, 수간이 부러진 나무 등 크게 세 가지로 구분하여 조사하였다. 바람이 불기 시작한 9월 2일 04시부터 바람이 완전히 멎은 12시까지의 풍속을 분석한 결과, 임내 평균풍속과 순간최대풍속은 각각 1.4 m/s와 3.5 m/s 이었으며, 06시 10분 임내 평균풍속과 순간최대풍속이 각각 3.4 m/s와 8.7 m/s로 최고치를 기록하였다. 곤파스의 피해를 받은 2010년 9월 2일과 강풍주의보가 발효되었던 과거 5일(2009년 2월 13일, 2월 20일, 4월 21일, 10월 16일, 2010년 3월 20일)의 평균풍속 차이와 파동을 비교 분석한 결과, 풍도목 발생 원인은 바람의 세기보다는 단위시간당 바람파동횟수와 관련이 깊은 것으로 사료된다. 풍향 분석 결과 임내 평균풍향은 방위각 $112.5^{\circ}{\sim}180^{\circ}$(ESE-SE-SSE-S)와 $247.5^{\circ}$(WSW) 방향에서 불어 들어왔으며, 임내 외 순간 최대풍향 모두 방위각 $157.5^{\circ}$(SSE) 방향에서 강하게 불어 들어왔다. 풍도목의 도복 방향과 위치를 분석한 결과 84.0%의 풍도목이 방위각 $270^{\circ}{\sim}22.5^{\circ}$(W-WNW-NW-NNW-N-NNE) 방향으로 쓰러졌으며, 97.3%의 풍도목이 완경사지(경사 $15^{\circ}$ 미만)와 경사지(경사 $15^{\circ}{\sim}20^{\circ}$)에서 발생하였다. 풍도목 중 침엽수가 45.3%를 차지했고, 활엽수가 54.7%를 차지하였으나, 임상별로 보면 풍도목은 활엽수림보다 침엽수림과 혼효림에서 주로 발생한 것으로 나타났다.

Keywords

References

  1. 기상청. 2010a. 제7호 태풍 곤파스의 영향 분석. http://web.kma.go.kr/notify/press/kma_list.jsp?bid=press&mode=view&num=1191574. (2010.12.20).
  2. 기상청. 2010b. 태풍 곤파스에 대한 3가지 의문과 향후 태풍발생 전망. http://web.kma.go.kr/notify/focus/list.jsp?bid=focus&mode=view&num=341&page=1&field=&text=. (2010.12.20).
  3. 산림청. 2006. 태풍 영향을 받은 횟수와 태풍으로 인한 풍도목 발생량.
  4. Achim, A., Nicoll, B., Mochan, S. and Gardiner, B. 2003. Wind stability of trees on slopes. In Proceedings of the International Conference 'Wind Effects on Trees'. Ruck, B., Kottmeier, C., Mattheck, C., Quine, C.,Wilhelm, G. (Eds.). University of Karlsruhe, Germany. 16-18 September 2003. 231-237.
  5. Achim, A., Ruel, J.-C., Gardiner, B.A., Laflamme, G. and Meunier, S. 2005. Modelling the vulnerability of balsam fir forests to wind damage. Forest Ecology and Management 204: 35-50.
  6. Ancelin, P., Courbaud, B. and Fourcaud, T.Y. 2004. Development of an individual tree-based mechanical model to predict wind damage within forest stands. Forest Ecology and Management 203: 101-121. https://doi.org/10.1016/j.foreco.2004.07.067
  7. Cucchi, V., Meredieu, C., Stokes, A., de Coligny, F., Suarez, J. and Gardiner, B. 2005. Modelling the windthrow risk for simulated forest stands of Maritime pine (Pinus pinaster Ait.). Forest Ecology and Management 213: 184-196. https://doi.org/10.1016/j.foreco.2005.03.019
  8. Forster, D.R. and Boose, E.R 1992. Patterns of forest damage resulting from catastrophic wind in central New England, USA. Journal of Ecology 80: 79-98. https://doi.org/10.2307/2261065
  9. Gardiner, B., Peltola, H. and Kellomaki, S. 2000. Comparison of two models for predicting the critical wind speeds required to damage coniferous trees. Ecological Modelling 129(1): 1-23. https://doi.org/10.1016/S0304-3800(00)00220-9
  10. Harris, A.S. 1989. Wind in the forests of southeast Alaska and guides for reducing damage. Gen. Tech. Rep. PNWGTR- 244. Portland OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. pp.63.
  11. Kiue, S., Murakami, T., Mizoune, N. and Yoshida, S. 2006. Research review on risks of the wind-fallen tree damages in Kyushu. Kyushu Journal of Forest Research 59(3): 292-295.
  12. Lohmander, P. and Helles, F. 1987. Windthrow probability as a function of stand characteristics and shelter. Scandinavian Journal of Forest Research 2(2): 227-238.
  13. Martin-Alcon, S., Gonzalez-Olabarria, J.R. and Coll, L. 2010. Wind and snow damage in the Pyrenees pine forests: effect of stand attributes and location. Silva Fennica 44(3): 399-410.
  14. Mickovski, S.B., Stokes, A. and Van Beek, L.P.H. 2005. A decision support tool for windthrow hazard assessment and prevention. Forest Ecology and Management 216: 64-76. https://doi.org/10.1016/j.foreco.2005.05.043
  15. Mitchell, S.J. 1999. Windthrow research. UBC Faculty of Forestry, Branch Lines 10(2): 3.
  16. Mitchell, S.J. 2000. Forest health: Preliminary interpretations for wind damage. In Stand Density Management Diagrams. Forest Practices Branch, BC Ministry of Forests, Victoria, BC. pp.40.
  17. Mitchell, S.J., Hailemariam, T. and Kulis, Y. 2001. Empirical modelling of cutblock edge windthrow risk on Vancouver Island, Canada, using stand level information. Forest Ecology and Management 154: 117-130. https://doi.org/10.1016/S0378-1127(00)00620-4
  18. Peltola, H., Kellomaki, S., Vaisanen, H. and Ikonen, V.-P., 1999. A mechanistic model for assessing the risk of wind and snow damage to single trees and stands of Scots pine, Norway spruce, and birch. Canadian Journal of Forest Research 29(6): 647-661. https://doi.org/10.1139/x99-029
  19. Putz, F.E. and Shariz, R.R. 1991. Hurricane damage to old-growth forest in Congaree Swamp National Monument, South Carolina, USA. Canadian Journal of Forest Research 21: 1765-1770. https://doi.org/10.1139/x91-244
  20. Quine, C.P. 1995. Assessing the risk of wind damage to forests: practice and pitfalls. In Wind and Trees (Editors Coutts, M. P. and Grace, J.). Cambridge University Press, Cambridge. 379-403.
  21. Ruel, J.C. 1995. Understanding windthrow: silvicultural implications. Forestry Chronicle 71: 434-445.
  22. Sato, H., Torita, H., Masaka, K., Kon, H. and Shibuya, M. 2009. Analysis of windthrow factors in windbreaks: in the case of Bibai, Hokkaido by typhoon No.18 in 2004. Journal of the Japanese Forest Society 91(5): 307-312. https://doi.org/10.4005/jjfs.91.307
  23. Stathers, R.J., Rollerson, T.P. and Mitchell, S.J. 1994. Chapter 3. Mechanics of windthrow, pp 3-8. In Windthrow Handbook for British Columbia Forests, Working Paper 9401. BC Ministry of Forests, Victoria, BC. pp. 38.
  24. Valinger, E. and Fridman, J. 1997. Modelling probability of snow and wind damage in Scots pine stands using tree characteristics. Forest Ecology and Management 97: 215-222. https://doi.org/10.1016/S0378-1127(97)00062-5
  25. Veronique, C., Celine, M., Alexia, S., Francois, de C., Juan, S. and Barry, A. G. 2005. Modelling the windthrow risk for simulated forest stands of Maritime pine (Pinus pinaster Ait.). Forest Ecology and Management 213: 184-196. https://doi.org/10.1016/j.foreco.2005.03.019
  26. Wright, J.A and Quine, C.P. 1993. The use of a geographical information system to investigate storm damage to trees at Wykeham Forest, North Yorkshire. Scottish Forestry 47: 166-174.