Scientific Investigations Report 2010–5038
Appendix A. Regression Models for Relation of Turbidity and Suspended-Sediment Concentration in the North Santiam River BasinAs explained in section “Data Analysis”, the regression models required annual updating and verification. Bragg and others (2007) developed a single model for each monitoring station with samples collected during water years 1999–2004 to estimate suspended-sediment concentration from turbidity for those 5 years. The newly published method for updating the regression models (Rasmussen and others, 2009) involved adding the samples collected during each subsequent water year to the model calibration dataset and repeating the regression analysis with the new dataset. If the new model showed no significant change from the old model, the new model was used to estimate the continuous SSC record for the most recent water year. The regression models used at each monitoring station for each water year that suspended-sediment loads were computed are shown in table A1. Table A1.Regression model equations used at each monitoring station, North Santiam River basin, Oregon, water years 1999–2008. [Station reference: Complete station names are shown in table 1 and locations are shown in figure 1. N, number of samples; R2, coefficient of determination; MSPE, model standard percent error; SSC, suspended-sediment concentration; T, turbidity]
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