한국농공학회지 (Magazine of the Korean Society of Agricultural Engineers)

한국농공학회 (The Korean Society of Agricultural Engineers)
권호 표지

기록치 오차와 유역모형의 검정(I) - 기록치 내의 측정 오차 분석 -

Errors in Recorded Information and Calibration of a Catchment Modelling System(I) - Analysis of Measurement Errors in Recorded Information -

  • Kyung Sook Choi (Sydney Water Corporation, Australia) ;
  • James E. Ball (School of Civil and Environmental Engineering, UNSW, Sydney, Australia)
  • 발행 : 2003.09.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

A catchment modelling system is the summation of the numerous hydrologic, hydraulic and other process models necessary to simulate the response of a catchment to a storm event. Differences between the recorded catchment response and that predicted by a catchment modelling system can arise from structural errors within the catchment modelling system, evaluation errors in the control parameters, or measurement errors in the recorded data being used to assess the reliability of the evaluation of the control parameters. Presented herein is an investigation of the potential measurement errors within the recorded information, which was considered to occur from instrument error in the ultra sonic flow monitor. This investigation was undertaken using three available rating curves at the Musgrave Avenue Stormwater System in Centennial Park, Sydney, developed by Abustan (1997), Water Board (1994), and using Manning's equation.

키워드

참고문헌

  1. Ph. D. Dissertation, School of Civil and Environmental Engineering Modelling of phosphorous transport in urban stormwataer runoff Abustan,I.
  2. Research Report No. 180. Water Research Laboratory A review of numerical methods for prediction of catchment water quantity and quality Ball,J.E.
  3. Journal of the Korean Society of Agricultural Engineers v.45 no.5 Errors in recorded information and calibration of a catchment modelling system (Ⅱ): - Monitoring calibration approach- Choi,K.S.
  4. Urban Storm Hydraulic and Hydrology proceedings of the Second International Conference on Urban Storm Drainage Data and fitting problems in urban storm drainage modelling Desbordes,M.;Ben Chie Yen(ed.)
  5. Water Resources Research v.32 no.12 Automatic calibration of conceptual rainfall-runoff models : Optimisation algorithms catchment conditions, and model structure Gan,T.Y.;Biftu,G.F. https://doi.org/10.1029/95WR02195
  6. Journal of Hydrology, Elsevier Science v.192 Effects of model complexity and structure, data quality, and objective functions on hydrologic modelling Gan,T.Y.;Dlamini,E.M.;Biftu,G.F.
  7. Water Resources Research v.8 no.1 Effects of random data errors on the parameter values for a conceptual model Ibbitt,R.P. https://doi.org/10.1029/WR008i001p00070
  8. Water Resources Research v.29 no.4 Calibration of rainfall-runoff models: Application of global optimisation to the sacramento soil moisture accounting model Sorooshian,S.;Duan,Q.;Gupta,V.K. https://doi.org/10.1029/92WR02617
  9. Water Resources Research v.21 no.8 Errors and parameters estimation in prediction rainfall-runoff modelling Troutman,B.M. https://doi.org/10.1029/WR021i008p01195