Multi-variable and multi-site calibration and validation of SWAT in a large mountainous catchment with high spatial variability

Many methods developed for calibration and validation of physically based distributed hydrological models are time consuming and computationally intensive. Only a small set of input parameters can be optimized, and the optimization often results in unrealistic values. In this study we adopted a mult...

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Vydáno v:	Hydrological processes Ročník 20; číslo 5; s. 1057 - 1073
Hlavní autoři:	Cao, Wenzhi, Bowden, William B., Davie, Tim, Fenemor, Andrew
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Chichester, UK John Wiley & Sons, Ltd 30.03.2006 Wiley
Témata:	calibration and validation Earth sciences Earth, ocean, space Exact sciences and technology Hydrology Hydrology. Hydrogeology physically based distributed hydrological models soil and water assessment tool spatial variability New Zealand South Island Australasia ground water drainage basins water storage aquifers optimization spatial variations physically based distributed hydrological models soils calibration base flow models rainfall soil moisture atmospheric precipitation calibration and validation runoff water balance soil and water assessment tool water yield hydrological modeling spatial variability hills evaporation streamflow
ISSN:	0885-6087, 1099-1085
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Shrnutí:	Many methods developed for calibration and validation of physically based distributed hydrological models are time consuming and computationally intensive. Only a small set of input parameters can be optimized, and the optimization often results in unrealistic values. In this study we adopted a multi‐variable and multi‐site approach to calibration and validation of the Soil Water Assessment Tool (SWAT) model for the Motueka catchment, making use of extensive field measurements. Not only were a number of hydrological processes (model components) in a catchment evaluated, but also a number of subcatchments were used in the calibration. The internal variables used were PET, annual water yield, daily streamflow, baseflow, and soil moisture. The study was conducted using an 11‐year historical flow record (1990–2000); 1990–94 was used for calibration and 1995–2000 for validation. SWAT generally predicted well the PET, water yield and daily streamflow. The predicted daily streamflow matched the observed values, with a Nash–Sutcliffe coefficient of 0·78 during calibration and 0·72 during validation. However, values for subcatchments ranged from 0·31 to 0·67 during calibration, and 0·36 to 0·52 during validation. The predicted soil moisture remained wet compared with the measurement. About 50% of the extra soil water storage predicted by the model can be ascribed to overprediction of precipitation; the remaining 50% discrepancy was likely to be a result of poor representation of soil properties. Hydrological compensations in the modelling results are derived from water balances in the various pathways and storage (evaporation, streamflow, surface runoff, soil moisture and groundwater) and the contributions to streamflow from different geographic areas (hill slopes, variable source areas, sub‐basins, and subcatchments). The use of an integrated multi‐variable and multi‐site method improved the model calibration and validation and highlighted the areas and hydrological processes requiring greater calibration effort. Copyright © 2005 John Wiley & Sons, Ltd.
Bibliografie:	Landcare Research istex:5FEE215F1A23B6849A0FB91F0171E0B9B5453B24 Foundation for Research, Science and Technology - No. C09X0305 ark:/67375/WNG-TC8LTRZV-R ArticleID:HYP5933 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	0885-6087 1099-1085
DOI:	10.1002/hyp.5933