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Western Dam Engineering <br /> Technical Note <br /> <br /> <br /> May 2017 <br /> <br /> <br />15 <br />range of events and conditions and can be used as part <br />of study watershed pseudo-calibrations. <br />Due to the regional nature of some pseudo-calibration <br />data, calibrations may not be able to adequately <br />replicate predicted runoff rates; however, general <br />discharge-frequency tendencies should be retained, if <br />possible, which provides some degree of reliability and <br />confidence. Figure 4 shows an example in which the <br />modeled discharge frequencies do not have the same <br />tendency as the observed data and do not lie within <br />the 90 percent confidence band. Ideally, a verified <br />model (Figure 5) should produce results that retain the <br />same tendency as observed or predicted data and lie <br />close to the line of equal values. <br /> <br />Figure 4. Unacceptable Simulation for an Uncalibrated <br />Model. <br /> <br />Figure 5. Acceptable Simulation from a Calibrated Model. <br />Flood modeling runoff result verifications are often <br />focused on replicating peak runoff rates; however, in <br />some cases, the runoff volume can prove to be more <br />critical than the peak runoff rate. Runoff volume <br />verifications require measured or observed event data; <br />therefore, these types of verifications are calibration <br />based. Conversely, peak runoff rate verifications can <br />be based on watershed specific and/or regional data <br />and associated calibrations and/or pseudo- <br />calibrations. <br />Calibration Techniques <br />Hydrologic model runoff result calibrations involve <br />varying estimated watershed input parameters such <br />that the model results match well with observed <br />and/or estimated data under similar conditions. It is <br />important to note that model input parameters are <br />generally adopted based on methodologies and <br />empirical relationships whose own parameters are <br />subject to interpretation and engineering judgement. <br />As such, a range of potentially reasonable <br />values/magnitudes for a given watershed parameter is <br />expected and appropriate. These ranges provide a <br />basis (i.e., upper and lower limit) for which model <br />input parameters can be varied and justified. <br />Figure 6 presents a flow chart of a typical hydrologic <br />model runoff result calibration process. Common <br />watershed input parameters varied as part of this <br />process include: <br /> Excess precipitation – Infiltration, evaporation, and <br />transpiration rates, as well as initial abstraction <br />(i.e., interception). Initial abstraction and the <br />infiltration rate are the most pertinent to dam <br />safety studies. <br />o Runoff volume modeling results are most <br />sensitive to watershed loss and excess <br />precipitation parameters. <br /> Excess precipitation transformation – Physical <br />watershed characteristics like shape, topography, <br />surface roughness, etc. <br />o Runoff rates and timing are most sensitive to <br />excess precipitation transformation <br />parameters. <br /> Watercourse routing – Physical watercourse <br />characteristics like hydraulic roughness, slope, <br />cross-sectional geometry, etc.