Journal of Korea Water Resources Association (한국수자원학회논문집)

Korea Water Resources Association (한국수자원학회)
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Comparative analysis of methods for sediment level estimation in dam reservoir

댐 저수지의 퇴사위 결정 방법에 관한 연구

  • Joo, Hong Jun (Department of Civil Engineering, Inha University) ;
  • Kim, Hung Soo (Department of Civil Engineering, Inha University) ;
  • Cho, Woon ki (Department of Civil Engineering, Hongik University) ;
  • Kwak, Jae won (Forecast & Control Division, Nakdong River Flood Control Office)
  • 주홍준 (인하대학교 사회인프라공학과) ;
  • 김형수 (인하대학교 사회인프라공학과) ;
  • 조운기 (홍익대학교 토목공학과) ;
  • 곽재원 (낙동강홍수통제소 예보통제과)
  • Received : 2017.10.26
  • Accepted : 2017.11.16
  • Published : 2018.01.31
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Abstract

This study examined how to determine the optimal sediment level in dam reservoir for efficient plan and operation of dam. Currently, Korea is applying a horizontally accumulated method for sediment level estimation for the safety design of dam and so the method estimated relatively higher level than others. However, the sediment level of dam reservoir should be accurately estimated because it is an important factor in assessing life cycle of a dam. The sediment level in dam reservoir can be determined by SED-2D model linked with RMA-2, horizontally accumulated method, area increment method, and empirical area reduction method. The estimated sediment level from each method was compared with the observed sediment level measured in 2007 in Imha dam reservoir, Korea and then the optimal method was determined. Also, the future sediment level was predicted by each method for the future trend analysis of sediment level. As the results, the most accurate sediment level was estimated by the empirical area reduction method and the future trend of sediment level variation followed the past trend. Therefore, we have found that the empirical area reduction method is a proper one for more accurate estimation of sediment level and it can be validated by the results from a numerical model of SED-2D linked with RMA-2 model.

본 연구에서는 댐의 효율적인 계획 및 운영을 위해 댐 저수지의 최적 퇴사위 결정 방법에 대해 고찰하였다. 현재 우리나라는 안전한 설계에 의거하여 댐 저수지 사수위 내의 퇴사위 결정 방법은 비교적 높게 산정되는 수평퇴사법을 주로 적용하고 있지만, 댐 저수지의 퇴사위는 정확하게 계획되어야 하며, 이는 댐 생애주기 평가 차원에서도 중요한 요소이다. 댐 저수지의 퇴사위 결정을 위해 대표적인 방법으로는 RMA-2와 연계된 SED-2D의 모형에 의한 방법, 수평퇴사법, 면적증분법(area increment method), 경험적면적감소법(empirical area reduction method)이 있다. 본 연구에서는 최적 퇴사위 결정을 위해 이를 산정하여 2007년 기준 실측 퇴사위와 비교하였다. 또한, 현재 및 미래 퇴사위를 예측하여 각 방법별로 경향과 추이를 분석하였다. 실측 퇴사위와 산정된 퇴사위를 비교한 결과, 경험적면적감소법이 실측값과 가장 근사하게 산정된 것을 확인할 수 있었으며, 현재 및 미래의 퇴사위는 전반적으로 과거 퇴사위의 경향과 추이를 따라가는 것으로 확인되었다. 따라서, 본 연구의 결과를 토대로 보면 경험적 면적감소법의 이용이 적절할 것으로 판단되고, 모형에 의해 분석 결과의 타당성을 검정하는 것이 합리적이라 생각된다.

Keywords

References

  1. Ahn, S. J., and Lee, J. H. (1984). "A correlation of reservoir sedimentation and watershed factors." Journal of Korea Water Resources Association, Vol. 17, No. 2, pp. 107-112.
  2. Amini, M. M., Banihashemi, M. E., Behrangi, F., and Pourjarian, M. E. (2010). "Correcting the real data and making them ready to use in numerical models and experimental methods of sediments' settlement in dams' reservoirs, case study: Kardeh dam." The 2th International Conference of Dam Building, Tehran, Iran.
  3. Arnold, J. G., Srinivasan. R., Ramanarayanan, T. S., and Di Luzio, M. (1999). "Water resources of the Texas gulf basin", Water Science and Technology, Vol. 39, No. 3, pp. 121-133. https://doi.org/10.1016/S0273-1223(99)00044-X
  4. Cho, H. J., and Kang, H. S. (2013). "Effects of control of dam sedimentation by a hydraulic structure in a reservoir." Journal of Korea Water Resources Association, Vol. 46, No. 12, pp. 1157-1167. https://doi.org/10.3741/JKWRA.2013.46.12.1157
  5. Jeong, J. H., and Yoon, Y. N. (2007). Water resource design practice. Goomibook.
  6. Kim, K. C., Kim, J. H., Chong, K. Y., and Kim, H. S. (1984). "Prediction of sediment distribution in reservoir using 2-D numerical model." Journal of Korea Water Resources Association, Vol. 47, No. 8, pp. 729-742. https://doi.org/10.3741/JKWRA.2014.47.8.729
  7. Korea Water Resources Corporation (2006). Servey of Soyang multipurpose dam sedimentation (Third edition).
  8. Korea Water Resources Corporation (2008). Servey of Imha multipurpose dam sedimentation (Second edition).
  9. Kwan, O. H. (1976). "Forecasting distribution of sediment deposits in Soyang lake." Journal of Korea Water Resources Association, Vol. 6, No. 1, pp. 76-86.
  10. Lee, D. K., and Ahn, J. H. (2012). "Long-term prediction of the sediment distribution of Chungju dam using emprical area reduction method." Korea Water Resources Association Conference, pp. 536.
  11. Pereira, J. F., McCorquodale, J. A., Meselhe, E. A., Georgiou, I. Y., and Allison, M. A. (2009). "Numerical simulation of bed material transport in the Lower Mississippi River." Journal of Coastal Research, Special Issue 56, pp. 1449-1453.
  12. Renard, K. D., Foster, G. A., and Weesies, P. J. (1991). "Revised universal soil loss equation." Journal of Soil and Water Conservaation, Vol. 46, No. 1, pp. 30-33.
  13. Ryu, H. J., and Kim, S. W. (1976). "Study on sedimention in reservoir." Journal of Korea Water Resources Association, Vol. 9, No. 2, pp. 67-75.
  14. Seong, C. H., Lee, B. H., Seo, Y. K., Oh, K. C., and Kim, J. R. (1984). "Prediction of sediment distribution in Soyang lake using two-dimensional model." Korea Water Resources Association Conference, pp. 1551-1555.
  15. Shinde, T., Nimbalkar, P. T., and Gidde, M. R. (2016). "Comparison of area reduction method and area increment method for reservoir sediment distribution - Case study Ujjani dam." Journal of Research in Advanced Engineering and Technology, Vol. 2, No. 3, pp. 108-111.
  16. U.S. Army Corps of Engineers (2005). Users Guide to RMA2 WES Wersion 4.5. Wextech System.
  17. Versraeten, G., Poesen, J., Vente, J., and Koninckx, X. (2003). "Sediment yield variability in Spain: a quantitative and semiqualitative analysis using reservoir sedimentation rates." Geomorphology, Vol. 50, pp. 327-348. https://doi.org/10.1016/S0169-555X(02)00220-9