DOI QR코드

DOI QR Code

분포형 수문모형을 이용한 유역기반의 PMF 및 유사-유출량 산정

Watershed-based PMF and Sediment-runoff Estimation Using Distributed Hydrological Model

  • Yu, Wansik (Water Resources Research Center, K-water Convergence Institute) ;
  • Lee, Giha (Dept. of Construction and Disaster Prevention Eng, Kyungpook National Univ.) ;
  • Kim, Youngkyu (Water Resources Research Center, K-water Convergence Institute) ;
  • Jung, Kwansue (Dept. of Civil Engineering, Chungnam National Univ.)
  • 투고 : 2017.09.13
  • 심사 : 2017.10.30
  • 발행 : 2018.03.31

초록

Probable Maximum Flood (PMF) is mostly applied for the designs of large-scale hydraulic structures and it is estimated by computing the runoff hydrograph where Probable Maximum Precipitation (PMP) is inserted as design rainfall. The existing PMP is estimated by transferring the heavy rainfall from all watersheds of korea to the design watershed, however, in this study, PMP was analyzed by selecting only rainfall events occurred in the design watershed. And then, Catchment-scale Soil Erosion Model (CSEM) was used to estimate the PMF and sediment-runoff yield according to the watershed-based estimated PMP. Although the PMF estimated in this study was lower than the existing estimated PMF in the Yongdam-dam basin, it was estimated to be higher than the 200-year frequency design flood discharge. In addition, sediment-runoff yield was estimated with a 0.05 cm of the maximum erosion and a 0.06 cm of the maximum deposition, and a total sediment-runoff yield of 168,391 tons according to 24-hour PMP duration.

키워드

참고문헌

  1. Johnson, B. E., P. Y. Julien, D. K. Molnar, and C. C. Watson, 2000. The two dimension-upland erosion model CASC2D-SED. Journal of the AWRA, 36(1): 31-42. doi:10.1111/j.1752-1688.2000.tb04246.x
  2. Kang, M. J., 2009. Estimation of the Nam river dam's PMF by the dividing watershed. Master's thesis, Gyeongsang National University, Jinju (in Korean).
  3. Kim, Y. K., Y. S. Kim, W. S. Yu, S. R. Oh, and K. S. Jung, 2016a. Development of basin-scale PMP estimation method by considering spatio-temporal characteristic. Journal of Korean Society of Hazard Mitigation, 16(1): 51-61 (in Korean). doi:10.9798/KOSHAM.2016.16.1.51
  4. Kim, Y. K., W. S. Yu, Y. S. Kim, A. C. Jeong, and K. S. Jung, 2016b. Basin-scale PMF estimation by considering spatiotemporal characteristics : Focused on Yongdam-dam basin. The Korean Spatial Planning Review, 91: 125-138 (in Korean). doi:10.15793/kspr.2016.91.008.
  5. Kim, Y. S., G. H. Lee, D. E. Lee, and S. J. Noh, 2015. Parameter estimation and uncertainty assessment of a soil erosion model using data assimilation method. Journal of Korean Society of Hazard Mitigation, 15(6): 373-382 (in Korean). doi:10.9798/KOSHAM.2015.15.6.373
  6. KDI (Korea Development Institute), 2007. Evaluation of dam design criteria. KDI, Seoul, Korea (in Korean).
  7. KWRA (Korea Water Resources Association), 2005. Dam design criteria. KWRA, Seoul, Korea (in Korean).
  8. Lee, K. H. 2006. Estimation of probable maximum depth-areaduration by moisture maximization over the Geumgang river basin. Atmosphere, 16(2): 55-65 (in Korean).
  9. Lee, G. H., W. S. Yu, and K. S. Jung, APIP, 2013. Catchment-scale soil erosion and sediment yield simulation using a spatially distributed erosion model. Environmental Earth Sciences, 70(1): 33-47. doi:10.1007/s12665-012-2101-5
  10. Lee, G. H., W. S. Yu, C. L. Jang, and K. S. Jung, 2010. Analysis on spatio-temporal variability of erosion and deposition using a distributed hydrologic model. Journal of Korea Water Resources Association, 43(11): 995-1009 (in Korean). doi:10.3741/JKWRA.2010.43.11.995
  11. Lee, S. R., 2010. Calculation for the probable maximum flood of the Hapcheon dam watershed. Master's thesis, Gyeongsang National University, Jinju, Korea (in Korean).
  12. MOCT (Ministry of Construction and Transportation), 2000. Estimation of probable maximum precipitation in Korea. Gwacheon, Korea (in Korean).
  13. MOCT (Ministry of Construction and Transportation), 2004a. Analysis on hydrological stability of dam and master plan for flood control capability increase. Gwacheon, Korea (in Korean).
  14. MOCT (Ministry of Construction and Transportation), 2004b. Renewable report of PMP map in Korea. Gwacheon, Korea (in Korean).
  15. MLTM (Ministry of Land, Transport and Maritime Affairs), 2008. PMP and PMF estimation procedure guidelines. Gwacheon, Korea (in Korean).
  16. MLTM (Ministry of Land, Transport and Maritime Affairs), 2009. River improvement plan of the Geum River. Daejeon, Korea (in Korean).
  17. MLTM (Ministry of Land, Transport and Maritime Affairs), 2011. Study on improvement and supplement of probability rainfall in South Korea. Gwacheon, Korea (in Korean).
  18. Nash, J.E., and J. V. Sutcliffe, 1970. River flow forecasting through conceptual models. Part I-A Discussion of principles, Journal of Hydrology, 10(3): 282-290. doi:10.1016/0022-1694(70)90255-6
  19. Park, J. H., and B. S. Kang, 2006. Comparison of runoff analysis between GIS-based distributed model and lumped Model for flood forecast of dam watershed. Journal of The Korean Association of Geographic Information Studies, 9(3): 171-182 (in Korean).
  20. Shin, Y. A., 2013. Grid-Based spatial and temporal approaches to depth-area-duration rainfall analysis. Master's thesis, Kyoto University, Kyoto, Japan.
  21. Song, M. Y., 2014. DAD analysis using GIS-based rain search method. Master's thesis, Chungnam National University, Daejeon, Korea (in Korean).
  22. Tachikawa, Y. 2011. Distributed rainfall-runoff modelling. CE74.55 Modeling of water Resources Systems, 1-15.
  23. Vieux, B. E. 2004. Distributed hydrological modeling using GIS. The series Water Science and Technology Library, 38: 1-17. doi:10.1007/978-94-015-9710-4_1
  24. WMO (World Meteorological Organization), 2009. Manual on estimation of probable maximum precipitation. No. 1045, WMO, Geneva, Switzerland.
  25. Yang, C. T. 1972. Unit stream power and sediment transport. Journal of the Hydraulics Division, ASCE, 98(10): 1805-1826. doi:10.1.1.540.7000 https://doi.org/10.1.1.540.7000
  26. Young, A. 2006. Stream flow simulation within UK ungauged catchments using a daily rainfall-runoff model. Journal of Hydrology, 320: 155-172. doi:10.1016/j.jhydrol.2005.07.017
  27. Yu, W. S., 2010. A study on rainfall-sediment-runoff estimation with consideration to parameter uncertainty. Master's thesis, Chungnam National university (in Korean).