DOI QR코드

DOI QR Code

Application of two-term storage function method converted from kinematic wave method

운동파법의 변환에 의한 2항 저류함수법의 적용

  • Received : 2019.11.12
  • Accepted : 2019.11.29
  • Published : 2019.12.31

Abstract

The storage function method is used as a flood prediction model for four flood control offices in Korea as a method to analyze the actual rainfall-runoff relationship with non-linearity. It is essential to accurately estimate the parameters of the storage function method for accurate runoff analysis. However, the parameters of the storage function method currently in use are estimated by the empirical formula developed by the limited hydrological analysis in 2012; therefore, they are somewhat inaccurate. The kinematic wave method is a method based on physical variables of watershed and channel and is widely used for rainfall-runoff analysis. By adopting the two-term storage function method by the conversion of the kinematic wave method, parameters can be estimated based on physical variables, which can increase the accuracy of runoff calculation. In this research, the reproducibility of the kinematic wave method by the two-term storage function method was investigated. It is very easy to estimate the parameters because equivalent roughness, which is an important physical variable in watershed runoff, can be easily obtained by using land use and land cover, and the physical variable of channel runoff can be easily obtained from the basic river planning report or topographic map. In addition, this research examined the applicability of the two-term storage function method to runoff simulation of Naechon Stream, a tributary of the Hongcheon River in the Han River basin. As a result, it is considered that more accurate runoff calculation results could be obtained than the existing one-term storage function method. It is expected that the utilization of the storage function method can be increased because the parameters can be easily estimated using physical variables even in unmeasured watersheds and channels.

저류함수법은 비선형성을 가지는 실제 강우-유출 관계를 해석하기 위한 방법으로 우리나라 4개 홍수통제소의 홍수예측모형으로 이용되고 있다. 정확한 유출해석을 위해서는 정확한 저류함수의 매개변수 산정이 중요하나, 현재 사용되고 있는 저류함수법의 매개변수는 제한된 수문사상 분석에 의해 작성된 2012년도 경험식에 의해 추정된 것으로 정확도가 낮은 실정이다. 운동파법은 유역 및 하도의 물리변수에 기초한 방법으로 강우-유출 해석에 많이 이용되고 있다. 운동파법의 변환에 의한 2항 저류함수법을 채택하면 물리변수를 기반으로 매개변수를 추정할 수 있어 유출계산의 정확도가 증가할 수 있다. 유역유출에서 중요한 물리변수인 등가조도는 토지이용 및 토지피복을 이용하여 쉽게 구할 수 있으며, 하도유출의 물리변수는 하천기본계획 보고서 및 지형도 등에서 쉽게 구할 수 있어 매개변수의 추정이 매우 용이한 장점이 있다. 본 연구에서는 2항 저류함수법의 운동파법 재현성을 검토하였고, 한강권역 홍천강의 지류인 내촌천을 대상으로 2항 저류함수법의 적용 가능성을 검토한 바, 경험식에 의한 매개변수를 이용한 기존 1항 저류함수법보다 정확한 유출계산 결과를 얻을 수 있었다. 미계측 유역 및 하도에서도 물리변수를 이용하여 매개변수를 용이하게 추정할 수 있기 때문에 저류함수법의 활용도가 증가될 수 있을 것으로 기대된다.

Keywords

References

  1. Choi, J.N., Ahn, W.S., Kim, H., and Park, M. (2010a). "Evaluation of parameter characteristics of the storage function model using the kinematic wave model." Journal of the Korean Society of Hazard Mitigation, KSHM, Vol. 10, No. 4, pp. 95-104.
  2. Choi, J.N., Ahn, W.S., Kim, H., and Park, M. (2010b). "Parameter estimation of the storage function model: 1. development of the universal model for the parameter estimation." Journal of the Korean Society of Hazard Mitigation, KSHM, Vol. 10, No. 6, pp. 119-130.
  3. Choi, J.N., Ahn, W.S., Kim, H., and Park, M. (2010c). "Parameter estimation of the storage function model: 2. applicability of the universal model." Journal of the Korean Society of Hazard Mitigation, KSHM, Vol. 10, No. 6, pp. 131-138.
  4. Chung, G., and Park, H.-S. (2013). "Modification of the fixed coefficient method for the parameter estimation of storage function method." Journal of Korea Water Resources Association, KWRA, Vol. 46, No. 1, pp. 73-85. https://doi.org/10.3741/JKWRA.2013.46.1.73
  5. Foundation of Hokkaido River Disaster Prevention Research Center (2006). Practical runoff analysis seminar. Foundation of Hokkaido River Disaster Prevention, Hokkaido, Japan.
  6. Gotoh, A., and Saga, H. (2010). "Generalized storage function method for 10-minute rainfall intensity." Annual Meeting of the Japan Society of Civil Engineers, JSCE, Vol. 65, No. II-274, pp. 547-548.
  7. Hack, J.T. (1957). Studies of longitudinal profiles in Virginia and Maryland. US Geological Survey Professional Paper 294-B, U.S. Government Printing Office, Washington D.C., pp. 45-97.
  8. Han River Flood Control Office (HRFCO) (1978). Improvement and constant analyses of Han River Flood Forecasting and Warning program.
  9. Han River Flood Control Office (HRFCO) (1980). Runoff and constant analyses report of Han River flood forecasting and warning.
  10. Han River Flood Control Office (HRFCO) (1982). Accuracy improvement discussion report of Han River flood forecasting and warning.
  11. Han River Flood Control Office (HRFCO) (1983). Constant discussion report of Han River flood forecasting and warning system.
  12. Han River Flood Control Office (HRFCO) (1991). Final report of Yeongsan River flood forecasting and warning program development.
  13. Han River Flood Control Office (HRFCO) (2012). Establishment and enhancement of flood forecasting system. Publication Number 11-1611492-000087-01.
  14. Hashimoto, I. (1978). Fundamental studies on the equivalent roughness for the hydrograph analysis by characteristic curve computation." Bulletin of Ishikawa Agricultural College, Ishikawa Prefecture, Japan.
  15. Hoshi, K., and Yamaoka, I. (1982). "A relationship between kinematic wave and storage routing model." Proceedings of the Japanese Conference on Hydraulics, Vol. 26, pp. 273-278.
  16. Japan Institute of Country-ology and Engineering, Small and Medium River Planning Study Group (1999). Guide to small and medium river planning (draft). Japan Institute of Country-ology and Engineering (JICE), Tokyo, Japan.
  17. Japan International Cooperation Agency (1977). Survey report of Han River flood forecasting and warning (5th). Japan International Cooperation Agency (JICA), Tokyo, Japan.
  18. Katayama, N., Hoshi, K., and Hashimoto, N. (2005a). "Improvement of flood forecasting system of Hokkaido development bureau." Annual Meeting of the Japan Society of Civil Engineers, JSCE, Vol. 60, No. 2-055, pp. 109-110.
  19. Katayama, N., Hoshi, K., and Hashimoto, N. (2005b). "Improvements of flood forecasting method using the generalized storage routing model." Proceedings of Hokkaido Chapter of the Japan Society of Civil Engineers, JSCE, Vol. 61, No. II-11.
  20. Kimura, T. (1961). Flood runoff routing by storage function. Public Works Research Institute, Japan.
  21. Kuribayashi, M., and Sadamichi, N. (1969). The characteristics and runoff analysis method in a drainage system (in particular, on the method of characteristic curve and the storage function method). Report of Technical Research Association, Ministry of Construction, River Division (Special Feature on Erosion Control and Landslides), pp. 739-743.
  22. Miyahara, M., Hoshi, K., and Hashimoto, K. (1999). "A storage function model for channel routing." Proceedings of Hokkaido Chapter of the Japan Society of Civil Engineers, JSCE, Vol. 55, pp. 18-23.
  23. Nagai, A. (1988). "Land use change and flood runoff model." Journal of the Agricultural Engineering Society, Japanese Society of Irrigation, Drainage and Rural Engineering, Vol. 56, No. 11, pp. 1067-1072.
  24. Nam, K.T., and Kim, K.S. (1996). "Flood runoff analysis by a storage function model." Magazine of the Korean Society of Agricultural Engineers, KSAE, Vol. 38, No. 2, pp. 75-86.
  25. Prasad, R. (1967). "A nonlinear hydrologic system response model." Journal of the Hydraulics Division, Proceedings of the ASCE, Vol. 93, No. HY4, pp. 201-221.
  26. Sugiyama, H, Kadoya, M., and Nagai, A. (1988). "Study on the synthetic storage function model." Transactions of the Japanese Society of Irrigation, Drainage and Reclamation Engineering, Japanese Society of Irrigation, Drainage and Rural Engineering, Vol. 134, pp. 69-75.
  27. Sugiyama, H., and Kadoya, M. (1988). "Discussion on parameters of the storage function model." Transactions of the Japanese Society of Irrigation, Drainage and Reclamation Engineering, Japanese Society of Irrigation, Drainage and Rural Engineering, Vol. 133, pp. 11-18.
  28. Sugiyama, H., Kadoya, M., Nagai, A., and Lansey, K. (1997). "Evaluation of the storage function model parameter characteristics." Journal of Hydrology, Vol. 191, pp. 332-348. https://doi.org/10.1016/S0022-1694(96)03026-0