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• W1574395230 abstract "The capability of the new, continuous model Annualized AGricultural NonPoint Source (AnnAGNPS version 2) for simulating flow events, peak discharge, and generation of nitrogen and phosphorus loads was tested on extensive field data. The hydrologic and water quality data were obtained from an intensively monitored, small rural watershed within the Hawkesbury-Nepean river system of New South Wales, Australia. AnnAGNPS is a large environmental simulation model for which prediction uncertainty is inherent both in the model structure and in parameter identification depending on how well watershed heterogeneity is represented. In this study AnnAGNPS was coupled with the model independent, nonlinear parameter estimation code, PEST, for calibration and sensitivity testing. This approach provided insight into the sensitivities of output predictions with respect to the variation of parameters from a base value. The base values can be defined in relation to the calibrated model outputs and field measurements. As all AnnAGNPS input parameters represent measurable properties and conditions, ranges of the parameters need to be specified and violations of the range limits monitored to minimise prediction errors and problems of non-uniqueness in the parameter selection. PEST calibration and sensitivity routines can be used systematically within these constraints for parameter optimization and identifiability. The measured event streamflows were matched satisfactorily by AnnAGNPS/PEST, but modelling of daily generation of particulate nitrogen and phosphorus achieved only moderate accuracy. The latter may reflect factors inherent in watershed processes as well as their representation by the model." @default.
• W1574395230 created "2016-06-24" @default.
• W1574395230 creator A5059737114 @default.
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• W1574395230 date "2013-03-23" @default.
• W1574395230 modified "2023-09-23" @default.
• W1574395230 title "Parameter Sensitivity in Calibration and Validation of an Annualized Agricultural Non‐Point Source Model" @default.
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• W1574395230 doi "https://doi.org/10.1002/9781118665671.ch24" @default.
• W1574395230 hasPublicationYear "2013" @default.
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