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Adequacy of a Multi-objective Regional Calibration Method Incorporating a Sequential Regionalisation

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  • H. Kim

Abstract

A multi-objective regional calibration technique that incorporates a sequential regionalisation procedure was introduced and evaluated based on 12 catchments in Korea. This study was focused on investigating the impacts of the predictive capacity of a rainfall-runoff model for multiple objectives on the adequacy of regional relationships during the regional calibration. The effectiveness of the regional calibration using a multi-objective approach was evaluated by comparing the predictive performance of the regional calibration using a single-objective approach. The comparative assessment of the regional calibration approaches in the regionalisation suggests that the predictability of the regional models derived from the multi-objective regional calibration approach is generally good and reasonable with respect to the simultaneous catchment response to high and low flows and water balance. However, the multi-objective regional calibration approach displayed weaknesses associated with matching the water balance in the hydrograph, which was primarily caused by the reduced variation of the regional parameters. A more extensive study with a larger number of catchments is needed to develop more accurate regional relationships from the multi-objective regional calibration approach. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • H. Kim, 2014. "Adequacy of a Multi-objective Regional Calibration Method Incorporating a Sequential Regionalisation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5507-5526, December.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:15:p:5507-5526
    DOI: 10.1007/s11269-014-0819-4
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    References listed on IDEAS

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    1. Kim, H.S. & Croke, B.F.W. & Jakeman, A.J. & Chiew, F.H.S., 2011. "An assessment of modelling capacity to identify the impacts of climate variability on catchment hydrology," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1419-1429.
    2. Dave Deckers & Martijn Booij & Tom Rientjes & Maarten Krol, 2010. "Catchment Variability and Parameter Estimation in Multi-Objective Regionalisation of a Rainfall–Runoff Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3961-3985, November.
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