DOI QR코드

DOI QR Code

The Prediction of Landslide Hazard Areas Considering of Root Cohesion and Crown Density

뿌리점착력과 수관밀도를 적용한 토사재해 위험지역 예측

  • Received : 2016.03.30
  • Accepted : 2016.05.03
  • Published : 2016.06.01

Abstract

Since the landslide hazard areas prediction was analyzed by slope-angle and soil properties, regional characteristics is not taken. Therefore, in order to make more rational prediction, it is necessary to consider the characteristics of the region. Tree roots have been known to increase soil cohesion in landslide hazard areas and to vary the degrees depending on the tree type. In addition, a reasonable prediction of landslide hazard areas can be made by considering crown density based on crown distribution patterns of the area of interest. In this study, using the roots cohesion considering the crown density of the trees, which is in the landslides risk areas around Mt. Gwehwa in Sejong City, the landslides risk areas were predicted and compared with predicted results obtained by not considering root cohesion.

기존의 토사재해 위험지역 예측은 토질특성과 경사만으로 분석되기 때문에 지역적 특징이 반영되어 있지 않다. 따라서 보다 합리적인 위험지 예측 분석을 위하여 해당지역의 특징을 반영한 토사재해 위험지 예측을 할 필요가 있다. 토사재해 위험지의 특징 중 하나인 수목의 뿌리는 토사 내 점착력을 증가시키는 작용을 하는 것으로 연구되어 왔으며, 수목의 종류에 따라 그 영향이 다른 것으로 알려져 있다. 또한, 지역에 따라 수목의 밀집 정도(수관밀도)가 다양하기 때문에 실제 수목의 분포를 고려하여 토사재해 위험지역 예측을 한다면 보다 합리적인 위험지 예측이 가능할 것이다. 본 연구에서는 세종시 괴화산 일대를 중심으로 수목의 수관밀도를 고려한 뿌리점착력을 사용하여 토사재해 위험지역 예측을 하였으며, 뿌리점착력을 적용하지 않은 토사재해 위험지역 예측 결과와 비교하였다.

Keywords

References

  1. Abe, K. and Ziemer, R. R. (1991), Effect of tree roots on a shear zone : Modeling reinforced shear stress, Canadian Journal of Forest Research, Vol. 21, pp. 1012-1019. https://doi.org/10.1139/x91-139
  2. Baum, R. L. Savage, W. Z. and Godt, J. W. (2002), TRIGRS- A fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis, U.S. Geological Survey Open-File Report, 02-424, pp. 1-59.
  3. Brand, E. W. (1985), Predicting the performance of residual soil slopes, Proc., 11th, CSMFE, Sanfrancisco, pp. 2541-2573.
  4. Cha, D, S. and Ji, B. Y. (2003), Spatial distribution of korean white pine tree roots = A study on slope stability effects by the tree root systems (III), Journal of Korean Forest Society, Vol. 92, No. 1, pp. 33-41 (in Korean).
  5. Choi, Y. E. (2002), Trends in daily precipitation events and their extremes in the southern region of korea, Korean Society of Environmental Impact Assessment 11, pp. 189-203 (in Korean).
  6. Coppin, N. J. and Richards, I. G. (2007), Use of vegetation in civil engineering, CIRIA C708, London. pp. 1-40.
  7. Gray, D. H. and Sotir, R. B. (1996), Role of vegetation in the stability of slopes, biotechnical and soil bioengineering slope stabilization : A practical guide for erosion control, John Wiley & Sons INC, pp. 54-82.
  8. Kim, D. Y., Lee, S. H. and Im, S. J. (2011a), Analysis of the effect of tree roots on soil reinforcemen considering its spatial distribution, Journal of the Korea Society of Environmental Restoration Tecnology, Vol. 14, No. 4, pp. 41-54 (in Korean).
  9. Kim, D. Y., Im, S. J. and Chun, K. W. (2014), Quantitative analysis of tree effects on shallow landslide initiation using physically-based modeling approach, Journal of Korean Forest Society, Vol. 2014, pp. 258-258 (in Korean).
  10. Kim, S. H., Kim, J. C., Ryu, J, H., Kim, J, S., Seo, S, A., Cho, H, G., Yoo, B, O., Sim, W. B., Sung, J, H., Park, B, B., Lim, J, S., Jeong, I. B. and Sin, J. W. (2011b), 6th national forest inventory and forest health monitering, Korea forest service, Korea Forest Research Institute, 2011.10, version 1.1, pp. 34-36 (in Korean).
  11. Korea Forest Service (2016), Forest soil digital mapping, National Spatial Information Clearinghouse, GRS80/TM/1:25,000 (in Korean).
  12. Lee, C. W. (2005a), Trends of depths and missings caused by natural and sediment disasters in korea. 2005, Jour. Korean. For. Soc. 94, pp. 252-257 (in Korean).
  13. Lee, S. H. (2005b), Application of physically based hydrologic model to the prediction of shallow landslide potential area using GIS, Ph. D. Diss. Chungbuk University, Korea, pp. 1-104 (in Korean).
  14. Lee, I. M., Sung S. G. and Im C. M. (1991), An experimental study on the effect of vegetation roots on slope stability of hillside slopes, Journal of the Korean Geotechnical Society, Vol. 7, No. 2, pp. 51-66 (in Korean).
  15. Oliver, M., Bell, F. G. and Jemy, C. A. (1994), The effect of rainfall on slope failure, with examples from the greater durban area, Proceedings 7th international Cong. IAEG, Vol. 3, pp. 1629-1636.
  16. Park, N. W., Chi, K. H. and Jang, D. H. (2008), Application of statistical spatial data integration models to susceptibility analysis of induced by typhoon RUSA in Gangneung area. 2004, Jour. Korean. Geo. Ass. 11, pp. 69-80 (in Korean).
  17. Styczen, M. E. and Morgan, R. P. C. (1995), Engineering properties of vegetation, Slope Stabilization and Erosion Control : A Bioengineering Approach, R. P. C. Morgan and R. J. Rickson, eds. E & FN Spon. London, pp. 5-58.
  18. Wu, T. H. (1976), Investigation of landslides on prince of wales island, Alaska. Ohio State Univ., Dept. of Civil Eng., Geotech. Eng. Rpt., No. 5, pp. 93.
  19. Wu, T. H., McKinnell III, W. P. and Swanston, D. N. (1979), Strength of tree roots and landslides on Prince of Wales Island, Alaska. Canadian Geotechnical Journal, Vol. 16, pp. 19-33. https://doi.org/10.1139/t79-003