Effects of Model Complexity, Structure and Objective Function on Calibration Process

모형의 복잡성, 구조 및 목적함수가 모형 검정에 미치는 영향

  • Published : 2003.07.01

Abstract

Using inference models developed for estimation of the parameters necessary to implement the Runoff Block of the Stormwater Management Model (SWMM), a number of alternative inference scenarios were developed to assess the influence of inference model complexity and structure on the calibration of the catchment modelling system. These inference models varied from the assumption of a spatially invariant value (catchment average) to spatially variable with each subcatchment having its own unique values. Fur-thermore, the influence of different measures of deviation between the recorded information and simulation predictions were considered. The results of these investigations indicate that the model performance is more influenced by model structure than complexity, and control parameter values are very much dependent on objective function selected as this factor was the most influential for both the initial estimates and the final results.

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References

  1. Journal of Hydrology v.105 Changing ideas in hydrology- The case of physically-based models Beven, K.
  2. Urban Water Journal v.4 Parameter Estimation for Urban Runoff modeling Choi,K.S.;Ball,J.E.
  3. Journal of Hydrology 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.
  4. Water Resources Research v.21 no.12 Shenandoah watershed study: Calibration of a topography-based, variable contributing area hydrological model to a small forested catchment Hornberger,G.M.;Beven,K.J.;Cosby,B.J.;Sappington,D.E.
  5. Water Resources Research v.29 no.8 How much complexity is warranted in a rainfall-runoff model? Jakeman,A.J.;Hornberger,G.M.
  6. Water Resources Research v.21 no.2 A comparison of rainfall-runoff modeling techniques of small upland catchments Loague,K.M.;Freeze,R.A.