Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Quantification of Model Output Uncertainty Due to Watershed SizePublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: Paper number 022227, 2002 ASAE Annual Meeting . (doi: 10.13031/2013.10430) @2002Authors: Vijay Garg, Indrajeet Chaubey, Brian Haggard Keywords: AGNPS, calibration, rainfall-runoff modeling, scale, hydrologic modeling, parameter uncertainty, watershed, validation A hydrologic/water quality model must be calibrated before used for predicting watershed response. Often the measured data from the watershed where the models are applied may not be available. Under this condition, models are calibrated using data from a different watershed having similar land use, soil, and hydrologic conditions. However, if the watershed used for model calibration is not same as the watershed where the model is applied for hydrologic/water quality predictions, the difference in watershed characteristics may induce error in model output. The objective of this study was to quantify the error in model predictions due to watershed size. Agricultural Non-point Source (AGNPS) model was used to quantify the model errors using measured data from watersheds of varying sizes from the Little Washita Basin in Oklahoma. The study indicates that a large uncertainty in the model outputs results with the change of watershed size. (Download PDF) (Export to EndNotes)
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