The calibration is applied to the hyperbolic empirical model given by eq (113) where
The parameters in Table 36 were obtained by fitting the hyperbolic submodel of eq (113) to the rating curves using a nonlinear "amoeba" routine from Numerical Recipes (Press et al. 1988). Constraints on fitted parameters were: 0
a
50, 0
b
0.12, 0
h
100.
| aresid = residual sum of squares / number of data points. |
The mechanistic nitrogen saturation submodel (see Mechanistic Equation section II.7.1) was calibrated using flow/spill/gas saturation data from the rating curve data 1984 to 1990 at most projects. (This data set was supplied by Tom Miller of the Walla Walla District of the U.S. Army Corps of Engineers.) The data originated from the Columbia River Operations Hydrological Monitoring System (CROHMS) data base. At each dam the data consisted of: hourly flow and spill, forebay saturation, forebay elevation, tailrace elevation, and temperature, all measured throughout the summer. Using the same gas dissipation mechanism as was used in earlier versions of CRiSP.1, the tailrace gas saturation was back-calculated from the next dam downstream.
For each point in time the three parameters a, b, and c below were estimated using a multiple linear regression of the equation defining K20 in terms of the energy loss rate, the forebay concentration, and the entrainment coefficient. The mechanistic model for GasSpill 2 assumes that these parameters are related as is given by eq (121) where
= 0.0295
The spill program of 1994 presented an opportunity to recalibrate Gasspill parameters using up-to-date data at a variety of spill levels, including some observations at very high levels that had not previously occurred. Daily average gas levels were compared to those estimated using previously calibrated GasSpill parameters, and parameters were adjusted on a dam by dam basis to bring model predictions into closer agreement with observed data. Required changes were quite small, but the improvement of fit was noticeable; current estimates and observed gas levels are shown for several points in the system in Fig. 46. Note that in all four graphs the predicted and observed saturation tracks do not differ significantly (chi-squared goodness-of-fit test, in all cases p>0.05).