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Accession number;07A0041887
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| Title;Analysis of Hydrologic Model Parameter Characteristics Using Automatic Global Optimization Method |
| Author;
LEE GIHA
(Kyoto Univ.)
TACHIKAWA YASUTO
(Kyoto Univ.)
TAKARA KAORU
(Kyoto Univ.)
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Journal Title;Abstracts for Annuals. Disaster Prevention Research Institute, Kyoto University (CD-ROM)
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Journal Code:S0431B
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ISSN:
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VOL.;NO.49;PAGE.NO.49B,67-81(2006)
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| Figure&Table&Reference;FIG.12, TBL.9, REF.18 |
| Pub. Country;Japan |
| Language;English |
| Abstract;The successful application of hydrologic models depends on how well the models are calibrated. Therefore, the calibration procedure should be performed prudently to improve model accuracy and maximize model reliability before making decision of an intended purpose using a hydrologic model. Despite frequent utilization of manual calibration especially for distributed hydrologic models, much more weakness still remains with respect to the absence of generally accepted objective measures and extreme time consuming. Automatic calibration can overcome these kinds of shortcomings. A global optimization algorithm entitled shuffled complex evolution (SCE) has been proved to be efficient and robust to find optimal parameters of hydrologic models. This study examines the applicability of global optimization scheme, SCE, for calibrating two hydrologic models which have different model structures and indicates variation of optimal parameters according to objective functions. We also analyze parameter transferability under various flood scale. At last, guideline indexes able to assess model stability are introduced to allow modelers to select a more stable and suitable hydrologic model. Above all procedures are applied to Kamishiiba catchment (211km'2'). (author abst.) |
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