Volume 3 Issue 4
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Article Navigation >  Water Science and Engineering  > 2010  >  3(4): 378-393
Chuan-zhe Li, Hao WANG, Jia LIU, Deng-hua YAN, Fu-liang YU, Lu ZHANG. 2010: Effect of calibration data length on performance and optimal parameters of hydrological model. Water Science and Engineering, 3(4): 378-393. doi: 10.3882/j.issn.1674-2370.2010.04.002
Citation: Chuan-zhe Li, Hao WANG, Jia LIU, Deng-hua YAN, Fu-liang YU, Lu ZHANG. 2010: Effect of calibration data length on performance and optimal parameters of hydrological model. Water Science and Engineering, 3(4): 378-393. doi: 10.3882/j.issn.1674-2370.2010.04.002
shu

Effect of calibration data length on performance and optimal parameters of hydrological model

doi: 10.3882/j.issn.1674-2370.2010.04.002
  • 1.

    China Institute of Water Resources and Hydropower Research

  • 2.

    University of Bristol

  • 3.

    CSIRO

Funds:  Major Science and Technology Program for Water Pollution Control and Treatment in China;Major Science and Technology Program for Water Pollution Control and Treatment in China;Major Science and Technology Program for Water Pollution Control and Treatment in China;Major Science and Technology Program for Water Pollution Control and Treatment in China;Major Science and Technology Program for Water Pollution Control and Treatment in China
  • Received Date: 2010-09-28
  • Rev Recd Date: 2010-10-23
    Abstract
  • In order to assess the effects of calibration data length on the performance and optimal parameter values of hydrological model in ungauged or data limited catchments (actually, data are non-continuous and fragmental in some catchments), we choose to use non-continuous calibration periods to have more independent streamflow data for SIMHYD model calibration. Nash-Sutcliffe efficiency (NSE) and percentage water balance error (WBE) are used as performance measures. The Particle Swarm Optimization (PSO) method is used to calibrate the rainfall-runoff models. Different length of data range from 1 year to 10 years randomly sampled used for study on impact of calibration data length. 55 relatively unimpaired catchments all over Australia with daily precipitation, potential evapotranspiration (PET), and streamflow data are tested to obtain more general conclusions. The results show that, longer calibration data does not necessarily result in better model performance. In general, 8 years data are sufficient to obtain steady estimates of model performance and parameters for SIMHYD model. It is also show that most humid catchments require fewer calibration data to get good performance and stable parameter values. The model performs better in humid and semi-humid catchments than arid catchments. Our results may have useful and interesting implications in the efficiency of limited observation data used for hydrological model calibration in different climatic catchments.

     

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