Study on Selection of Objective Functions for Calibration of Rainfall-Runoff Models
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Accession number;03A0495293
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| Title;Study on Selection of Objective Functions for Calibration of Rainfall-Runoff Models |
| Author;
FUJIHARA YOICHI
(Kobe Univ., Graduate School of Sci. and Technol., JPN)
TANAKAMARU HARUYA
(Kobe Univ., Graduate School of Sci. and Technol., JPN)
HATA TAKESHI
(Kobe Univ., Fac. Agriculture, JPN)
TADA AKIO
(Kobe Univ., Fac. Agriculture, JPN)
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Journal Title;Transactions of the Japanese Society of Irrigation, Drainage and Reclamation Engineering
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Journal Code:S0345A
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ISSN:0387-2335
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VOL.;NO.225;PAGE.423-435(2003)
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| Figure&Table&Reference;FIG.11, TBL.4, REF.26 |
| Pub. Country;Japan |
| Language;Japanese |
| Abstract;We investigate the relationship between the selection of objective functions (functions for error estimation) used in calibration of rainfall-runoff models and the goodness of fit simulated hydrograph. The Tank Model, which has 16 unknown parameters including 4 initial storage depths, is calibrated by the SCE-UA (shuffled complex evolution) method using the 7 objective functions for the Eigenji, Osako and Syorenji Dam basin. The results are summarized as follows: 1) The runoff volume of model calibrated by using RMSE (Root Mean Square Error), MAE (Mean Absolute Error) and LOG (RMSE of logarithm transformation flow) is almost equal to the observed runoff volume. Using other objective functions, the runoff volume is consistently underestimated, so that the constraint of the permitted water balance error is indispensable. 2) RMSE emphasizes most the goodness of fit at high flows. LOG, .CHI.. RE (Relative Error) and RR (Root Mean Square of Relative Error) emphasize low flows. 3) The calibration results using RMSE are most consistetnt in the parameter estimates. In the functions emphasizing low flows, the RR calibration results are most consistent. 4) Using about 4-year data period, parameter estimates don't much depend on calibration period and stable results are obtained. (author abst.) |
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