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침엽수 산림에서의 토양수분 감쇄특성 분석

Analysis of Soil Moisture Recession Characteristics in Conifer Forest

  • 홍은미 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 최진용 (서울대학교 조경.지역시스템공학부, 농업생명과학연구원) ;
  • 남원호 (서울대학교 생태조경.지역시스템공학부 대학원) ;
  • 유승환 (서울대학교 농업생명과학연구원)
  • 투고 : 2011.05.23
  • 심사 : 2011.06.08
  • 발행 : 2011.07.31

초록

Forest area covers 64 % of the national land of Korea and the forest plays a pivotal role in the hydrological process such as flood, drought, runoff, infiltration, evapotranspiration, etc. In this study, soil moisture monitoring for conifer forest in experimental forest of Seoul National University has been conducted using FDR (Frequency Domain Reflection) for 6 different soil layers, 10, 20, 30, 60, 90 and 120 cm during 2009~2010, and precipitation data was collected from nearby AWS (Automatic Weather Station). Soil moisture monitoring data were used to estimate soil moisture recession constant (SMRC) for analyzing soil moisture recession characteristics. From the results, empirical soil moisture recession equations were estimated and validated to determine the feasibility of the result, and soil moisture contents of measured and calculated showed a similar tendency from April to November. Thus, the results can be applied for soil moisture estimation and provided the basic knowledge in forest soil moisture consumption. Nevertheless, this approach demonstrated applicability limitations during winter and early spring season due to freezing and melting of snow and ice causing peculiar change of soil moisture contents.

키워드

참고문헌

  1. Bruno, R. D., H. R. da Rocha, H. C. de Freitas, M. L. Goulden, and S. D. Miller, 2006. Soil moisture dynamics in an eastern Amazonian tropical forest. Hydrological Processes 20: 2477-2489. https://doi.org/10.1002/hyp.6211
  2. Choi, K. M., S. H. Kim, M, Son, and J. Kim, 2008. Soil moisture modelling at the topsoil of a hillslope in the Gwangneung national arboretum using a transfer function. Korean Journal of Agricultural and Forest Meteorology 10(2): 35-46 (in Korean). https://doi.org/10.5532/KJAFM.2008.10.2.035
  3. Grayson, R. B., A. W. Western, and F. S. Chiew, 1997. Preferred states in spatial soil moisture patterns: local and nonlocal controls. Water Resources Research 33 (12): 2897-2908. https://doi.org/10.1029/97WR02174
  4. Hammond, M., and D. Han, 2006. Recession curve estimation for storm event separations. Journal of Hydrology 330: 573-585. https://doi.org/10.1016/j.jhydrol.2006.04.027
  5. Kim, H. K., 2009. Modeling hydrologic and water quality effects of impervious surfaces in farm and urban watersheds. Ph. D. diss., Seoul, Korea.: Seoul National University (in Korean).
  6. Kim, O. K., J. Y. Choi, M. W. Jang, S. H. Yoo, W. H. Nam, J. H. Lee, and J. K. Noh, 2006. Watershed scale drought assessment using soil moisture index. Journal of the Korean Society of Agricultural Engineers 48(6): 3-13 (in Korean). https://doi.org/10.5389/KSAE.2006.48.6.003
  7. Lee, E. J., 2007. Assessing impact of non-point source pollution by management alternatives on arable land using AGNPS model. M.S. diss., Seoul, Korea.: Seoul National University (in Korean).
  8. Lee, G. Y., S. H. Kim, K. H. Kim, and H. S. Lee, 2005. Analysis of soil moisture recession characteristics on hillslope through the intensive monitoring using TDR. Korean Journal of Agricultural and Forest Meteorology 7(1): 78-90 (in Korean).
  9. Miller, G. R., D. D. Baldocchi, B. E. Law, and T. Meyers, 2006. An analysis of soil moisture dynamics using multi-year data from a network of micrometeorological observation sites. Advances in Water Resources 30: 1065-1081.
  10. Oh, K. J., H. S. Lee, D. H. Kim, S. H. Kim, H. J. Kim, and N. W. Kim, 2006. Soil moisture monitoring at a hillslope scale considering spatial-temporal characteristics. Journal of Korea Water Resources Association 39(7): 606-615 (in Korean). https://doi.org/10.3741/JKWRA.2006.39.7.605
  11. Ting, J. C., and M. Chang, 1985. Soil-Moisture depletion under three southern pine plantations in east TEXAS. Forest Ecology and Management 12: 179-193. https://doi.org/10.1016/0378-1127(85)90090-8
  12. Vogel. R. M., and C. N. Kroll, 1996. Estimation of baseflow recession constants. Water Resources Management 10: 303-320. https://doi.org/10.1007/BF00508898
  13. Wittenberg, H., 1999. Baseflow recession and recharge as nonlinear process. Hydrological Processes 13: 715-726. https://doi.org/10.1002/(SICI)1099-1085(19990415)13:5<715::AID-HYP775>3.0.CO;2-N

피인용 문헌

  1. Evaluating the Soil Salinity of Reclaimed Wastewater Irrigation in Paddy Plots using the Soil-Water-Atmosphere-Plant Model and Water Management Response Indicators vol.54, pp.2, 2012, https://doi.org/10.5389/KSAE.2012.54.2.103