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Tytuł artykułu

The importance of the objective functions and flexibility on calibration of parameters of Clark instantaneous unit hydrograph

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper compares the results of automatic calibration of Clark's synthetic unit hydrographs. Optimal values of model parameters were determined by the objective functions: percentage error in peak flow (PEPF), percentage error in volume (PEV), peak-weighted root mean square error (PWRMSE), sum of absolute residuals (SAB.) and sum of squared residuals (SSR). The last part of the analysis assesses the flexibility of studied model. The research was performed in the upland watershed of Grabinka - left tributary of the Wisłoka river located in Southern Poland. The analysis reveals that the smallest differences between the maximum flow in the observed and calculated flood culmination were obtained when applying PWRMSE function. This paper also indicates, that Clark's model was efficient for describing the analyzed floods.
Rocznik
Tom
Strony
76--86
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
autor
  • Uniwersytet Rolniczy w Krakowie Katedra Inżynierii Sanitarnej i Gospodarki Wodnej 30-059 Kraków, al. Mickiewicza 24/28
Bibliografia
  • Ahmad M.M., Ghumman A.R., Ahmad S. 2009. Estimation of Clark's Instantaneous Unit Hydrograph Parameters and Development of Direct Surface Runoff Hydrograph. Water Res. Manag., 23(12).
  • Bahremand A., De Smedt F. 2008. Distributed Hydrological Modeling and Sensitivity Analysis in Torysa Watershed, Slovakia. Water Res. Manag., 22.
  • Castings W., Dartus D., Le Dimet F.X., Saulnier G.M. 2009. Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods. Hydrol. Earth. Syst. Sci. 13.
  • Cleveland T.G., Thompson D.B., Xing E, Xin H. 2008. Synthesis of Unit Hydrographs from a Digital Elevation Model. J. Irrigat. Drainage Engin. 134(2).
  • Cunderlik J.M., Simonovic S.P. 2004. Calibration, verification and sensitivity analysis of the HEC-HMS hydrologie model. Report IV. CFCAS project: Assessment of water resources risk and vulnerability to changing climatic conditions. University of Western Ontario, Canada.
  • Di Pierro F. 2005. Automatic calibration of urban drainage model using a novel multi-objective genetic algorithm. Water Sci. Tech., 52(5).
  • Henrichs M., Vosswinkel N., Uhl M. 2008. Influence of Uncertainties on Calibration Results of a Hydrological Model. Proc. 11th International Conference on Urban Drainage, Edinburgh, Scotland, UK.
  • Kamali M. 2009. Calibration of Hydrologie Models Using Distributed Surrogate Model Optimization Techniques: A WATCLASS Case Study. University of Waterloo, Canada.
  • Lorenc H. 2005. Atlas klimatu Polski. Instytut Meteorologii i Gospodarki Wodnej, Warszawa.
  • Maidmend D.R., Hoogerwerf T.N. 2002. Parameter Sensitivity in Hydrologie Modeling. Technical Report. The University of Texas at Austin.
  • Nash J.E., Sutcliffe J.V. 1970. River flow forecasting through conceptual models, Part-I: A discussion of principles. J. Hydrol. (Amst.), 10(3).
  • Papadopoulos C.E., Yeung H. 2001. Uncertainty estimation and Monte Carlo simulation method. Flow Measurement and Instrumentation, 12(4).
  • Pappenberger F., Beven K. J., Ratto M., Matgen P. 2008. Multi-method global sensitivity analysis of flood inundation models. Adv. Water Resour., 31.
  • Podział hydrograficzny Polski. 1983. Wyd. IMGW, Warszawa.
  • Ponce V.M. 1989. Engineering Hydrology: Principles and Practices. Prentice Hall, Upper Saddle River, New Jersey.
  • Sikorska A., Banasik K. 2008. Wyznaczenie czasu opóźnienia odpływu bezpośredniego w zlewni Potoku Służewieckiego na podstawie danych pomiarowych, Przegl. Nauk. Inż. Kształt. Środ., 17,4(42).
  • Sikorska A.E., Scheidegger A., Banasik K., Rieckermann J. 2012. Bayesian uncertainty assessment of flood predictions in ungauged urban basins for conceptual rainfall-runoff models. Hydrol. Earth. Syst. Sci., 16.
  • Straub T.D., Melching C.S., Kocher K.E. 2000. Estimation of Clark's Instantaneous Unit Hydro-graph for small rural catchments in Illinois. Water-Resources Investigations Report 00-4184 USGS.
  • Velez J.J., Frances F. 2005. Automatic calibration of initial state variables for flood forecasting using a distributed model. Proceedings of International Conference on Innovation Advances and Implementation of Flood Forecasting Technology, Tromso, Norway.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8ee600a7-653c-46e2-a604-c707c991f2cf
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