Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
권호 표지
DOI QR코드

DOI QR Code

Comparison of Sediment Yield by IUSG and Tank Model in River Basin

하천유역의 유사량의 비교연구

  • Lee, Yeong-Hwa (Department of Civil Engineering, Daegu Haany University)
  • Published : 2009.01.31
Download PDF
⟨ Previous Next ⟩

Abstract

In this study a sediment yield is compared by IUSG, IUSG with Kalman filter, tank model and tank model with Kalman filter separately. The IUSG is the distribution of sediment from an instantaneous burst of rainfall producing one unit of runoff. The IUSG, defined as a product of the sediment concentration distribution (SCD) and the instantaneous unit hydrograph (IUH), is known to depend on the characteristics of the effective rainfall. In the IUSG with Kalman filter, the state vector of the watershed sediment yield system is constituted by the IUSG. The initial values of the state vector are assumed as the average of the IUSG values and the initial sediment yield estimated from the average IUSG. A tank model consisting of three tanks was developed for prediction of sediment yield. The sediment yield of each tank was computed by multiplying the total sediment yield by the sediment yield coefficients; the yield was obtained by the product of the runoff of each tank and the sediment concentration in the tank. A tank model with Kalman filter is developed for prediction of sediment yield. The state vector of the system model represents the parameters of the tank model. The initial values of the state vector were estimated by trial and error.

Keywords

References

  1. Lee Y. H., Singh V. P., 1999, Prediction of sediment yield by coupling Kalman filter with instantaneous unit sediment graph, Hydrological Processes, 2861-2875 https://doi.org/10.1002/(SICI)1099-1085(19991215)13:17<2861::AID-HYP805>3.0.CO;2-Z
  2. Lee Y. H., Singh V. P., 2005, Tank model for sediment yield, Water Resources Management, 19, 349-362 https://doi.org/10.1007/s11269-005-7998-y
  3. Lee Y. H., 2007, Tank model using Kalman filter for sediment yield, Journal of the Environmental Sciences, 16(12), 1319-1324 https://doi.org/10.5322/JES.2007.16.12.1319
  4. Williams J. R., 1975a, Sediment yield prediction with universal equation using runoff energy factor, In Present and Prospective technology for Predicting Sediment Yields and Sources, 244-52, ARS-S-40, Agricultural Research Service, U.S. department of Agriculture, Washington, D.C
  5. Singh V. P., Baniukiwicz A., Chen V. J., 1982, 'An instantaneous unit sediment graph study for small upland watersheds,' Littieton, Colo. : Water Resources Publications
  6. Sugawara M., 1979, Automatic calibration of the tank model, Hydrological Science Bulletin, 24, 375-388 https://doi.org/10.1080/02626667909491876
  7. Todini E., 1978, Mutually interactive state parameter (MISP) estimation, Application of Kalman filter, Proc. of AGU Chapman Conference, Univ. of Pittsburgh, 135-151
  8. Wood E. F., Szollosi-Nagy A., 1978, An adaptive algorithm for analyzing short-term structural and parameter changes in hydrologic prediction models, Water Resources Research, 14(4), 577-581 https://doi.org/10.1029/WR014i004p00577
  9. Wu C. M., Huang W. C., 1990, EtIect of observability in Kalman filtering on rainfall-rlllloff modeling, Taiwan Water Conservancy Quarterly, 38, 37-47
  10. Bowie A. J., Bolton G. C., 1972, Variations in runoff and sediment yields of two aqjaccnt watershcds as influenced by hydrologic and physical characteristies, Proceeding, Mississippi Water Resources Conference, 37-55, water Resources Research Institute, Mississippi State University, Mississippi State, Mississippi