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Dam Effects on Spatial Extension of Flood Discharge Data and Flood Reduction Scale I

홍수 유출자료의 공간확장과 홍수저감효과에 대한 댐 영향 분석 I

  • Kim, Nam Won (Hydrology Research Div., Korea Institute of Construction Technology) ;
  • Jung, Yong (Civil and Environmental Engineering., Wonkwang University) ;
  • Lee, Jeong Eun (Hydrology Research Div., Korea Institute of Construction Technology)
  • 김남원 (한국건설기술연구원, 수자원연구실) ;
  • 정용 (원광대학교, 토목환경공학과) ;
  • 이정은 (한국건설기술연구원, 수자원연구실)
  • Received : 2014.12.02
  • Accepted : 2015.02.13
  • Published : 2015.03.31

Abstract

In this study, the effects of changed environment on spatial extension of flood discharge data which is generating discharge data at ungauged watersheds. Especially, effects of dams on spatial extensions of flood discharge data and on natural flow generation were studied. This is somehow an intial trial of flood discharge data generation for heterogeneous watersheds because of dam installation. Data extensions have been performed based on the flood discharge data from YeoJoo water gauge station located on the Nam-Han River. For the evaluation of flood discharge data spatial extension under dam effects and producing natural flow, 41 flood events associated with YeoJoo water gauge station were selected from 1986 to 2010. When flood discharge data were extended based on YeoJoo water gauge station, 77% of selected flood events were over the satisfaction ranges (NSE>0.5) of Nash-Sutcliffe Efficiency for model validation. Extended flood discharge data at Yangpyung has 0.84 NSE obtained from spatial data extension based on YeoJoo water gauge station. Generated natural flow at YeoJoo was influenced strongly by Chungju Dam which has larger effects on streamflow at YeoJoo than Hoangsung Dam. Observed peak discharges after the 1986 of Chungju Dam installation were smaller than those of the obtained natural flow. Through these results, spatial extension of flood discharge data with installed dams works efficiently for ungauged watersheds and natural flow can be generated using extended flood discharge data.

본 연구에서는 미계측 유역의 홍수 유출자료를 생성하는 공간확장법에 대한 주변여건 변화의 영향을 검토하였다. 특히, 댐이 있는 곳에서의 홍수 유출자료의 공간확장 가능성을 보이고 공간확장 된 자료를 활용한 자연유량의 생성에 대한 연구를 실시하였다. 이는 댐의 설치로 유역동질성이 손실된 미계측 유역의 유출자료생성을 위한 시도이다. 댐의 영향을 받는 유역의 홍수 유출자료 공간확장을 위해서 남한강에 위치한 여주 수위관측소를 중심으로 양평 수위관측소까지를 연구의 공간적 범위로 삼았다. 홍수 유출자료의 공간확장성을 분석하기 위해 1986년부터 2010년까지의 여주수위관측소의 홍수유량을 중심으로 41개의 홍수사상을 선정하였으며, 이를 통해 홍수 유출자료 공간확장성과 댐 영향을 제거한 자연유량을 산정 하였다. 홍수 유출자료의 공간확장 작업에서 여주의 관측유출량을 중심으로 공간확장 했을 때 77%이상의 사상이 Nash-Sutcliffe efficiency의 만족도 범위 내(NSE>0.5)로 분포 하였으며, 확장된 양평 수위관측소의 첨두홍수량(peak discharge)에 대해 0.84 NSE를 얻을 수 있었다. 홍수 유출자료의 자연유량은 여주수위관측소를 중심으로 구하였으며 충주댐의 영향이 횡성댐의 영향보다 커 충주댐의 유입량을 중심으로 자연유량을 확보하였다. 충주댐이 존재하는 1986년 이후의 자연유량은 관측 유량보다 첨두홍수량이 크게 나타나고 있다. 본 연구의 결과로 댐과 같은 구조물의 설치가 있는 곳에서도 홍수 유출자료의 공간확장이 가능하며 홍수 유출자료 공간확장된 자료를 활용하여 자연유량을 구할 수 있음을 보였다.

Keywords

References

  1. Benson, M.A. (1962). "Factors influencing the occurrence of floods in a humid region of diverse terrain." U.S. Geol. Surv., Water-Supply Pap., Vol. 1580-B, p. 64.
  2. Choi, Y.S., Kim, K.T., and Shim, M.P. (2010). "Discharge estimation at ungauged catchment using distributed rainfall-runoff model." J. of Korea Water Reso. Asso. Vol. 43, No. 4, pp. 353-365. https://doi.org/10.3741/JKWRA.2010.43.4.353
  3. Kim, N.W., and Won, Y.S. (2004). "Estimates of regional flood frequency in Korea" J. of Korea Water Reso. Asso. Vol. 37, No. 12, pp. 1019-1032. https://doi.org/10.3741/JKWRA.2004.37.12.1019
  4. Kim, N.W., Lee, J.E., and Lee, B.J. (2007). "Characteristics of flow duration according to the operation of multi- purpose dams in the Han-River Basin." J. of Korea Society of Civil Eng. Vol. 27, No. 1B, pp. 53-63.
  5. Kim, N.W., Jung, Y., and Lee, J.E. (2013). "Spatial extension of runoff data in the applications of a lumped concept model." J. of Korea Water Reso. Asso. Vol. 46, pp. 923-934.
  6. Kim, N.W., Jung, Y., and Lee, J.E. (2014). "Simulation conditions based characteristics of spatial flood data extension." J. of Korea Water Reso. Asso. Vol. 47, No. 6, pp. 501-511. https://doi.org/10.3741/JKWRA.2014.47.6.501
  7. Kim, C.G., and Kim, N.W. (2012). "Comparison of natural flow estimation for the Han river basin using TANK and SWAT models." J. of Korea Water Reso. Asso. Vol. 45, No. 3, pp. 301-316. https://doi.org/10.3741/JKWRA.2012.45.3.301
  8. Lee, K.S., Oh, J.-H., Park, K., and Sung, J.-H. (2013). "Estimation of design considering nonstationarity for river restoration in the Mokgamcheon." J. of the Korean Soceity of Civil Engineers, Vol. 33, No. 4, pp. 1361- 1375. https://doi.org/10.12652/Ksce.2013.33.4.1361
  9. Merz, R., and Bloschl, G. (2004). "Regionalisation of catchment model parameters." J. of Hydrology, Vol. 287, pp. 95-100. https://doi.org/10.1016/j.jhydrol.2003.09.028
  10. Ministiry of Land, Infrasturture and Transport (2004). Improvement of flood forecasting and warning systeme for Keum River: Yongdam Dam and Miho-chun, Research Report, Korea Institute of Construction Technology.
  11. Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Hrmel, R.D., and Veith, T.L. (2007). "Model evaluation guidelines for systematic quantification of accuracy in watershed simulations." American Society of Agricultural and Biological Engineers, Vol. 50, No. 3, pp. 885-900.
  12. Parajka, J., Merz, R., and Bloschl, G. (2005). "A comparison of regionalization methods for catchment model parameters." Hydrol. Earth Syst. Sci., Vol. 9, pp. 157-171. https://doi.org/10.5194/hess-9-157-2005
  13. Seibert, J. (1999). "Regionalisation of parameters for a conceptual rainfall-runoff model." Agricultural and Forest Meteorology, Vol. 98-99, pp. 279-293. https://doi.org/10.1016/S0168-1923(99)00105-7
  14. Sugiyama, H., Kadoya, M., Nagai, A., and Lansey, K. (1997). "Evaluation of the storage function model parameter characteristics." J. of Hydrology, Vol. 191, pp. 332-348. https://doi.org/10.1016/S0022-1694(96)03026-0

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