Model Performance Sensitivity to Objective Function during Automated Calibrations
| Autor: | Misgana K. Muleta |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Mathematical optimization
business.industry Field data Group ii Automation Square (algebra) Absolute deviation Statistics Calibration Environmental Chemistry Sensitivity (control systems) Minification business General Environmental Science Water Science and Technology Civil and Structural Engineering Mathematics |
| Zdroj: | Journal of Hydrologic Engineering. 17:756-767 |
| ISSN: | 1943-5584 1084-0699 |
| DOI: | 10.1061/(asce)he.1943-5584.0000497 |
| Popis: | Previous studies have reported limitations of the efficiency criteria commonly used in hydrology to describe goodness of model simulations. This study examined sensitivity of model performance to the objective function used during automated calibrations. Nine widely used efficiency criteria were evaluated for their effectiveness as objective function, and goodness of the model predictions were examined using 13 criteria. Two cases (Case I: Using observed streamflow data and Case II: Using simulated streamflow) were considered to accomplish objectives of the study using a widely used watershed model (SWAT) and good-quality field data from a well-monitored experimental watershed. Major findings of the study include (1) automated calibration results are sensitive to the objective function group—group that work based on minimization of the absolute deviations (Group I), group that work based on minimization of square of the residuals (Group II), and groups that use log of the observed and simulated st... |
| Databáze: | OpenAIRE |
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