Some regression models require post-processing of streamflow data during ice-affected periods in the winter. Please check back in spring for real-time estimates and estimates from the prior winter.
Model Form #1
ln(As) =
- 3.072 + 1.561 ln(SC)
- 0.04403 sin(2π D / 365)
- 0.1796 cos(2π D / 365)
where:
- As is computed arsenic, in micrograms per liter as arsenic
- SC is specific conductance at 25 degrees Celsius, in microsiemens per centimeter
- D is day of year, in the range of integers 1 through 365
Model Calibration
Basic Data
Number of measurements: | 21 |
---|---|
Mean squared error: | 0.01820872263609 |
Multiple R2: | 0.9501 |
Bias correction (smearing) factor: | 1.007 |
Explanatory Variables
Variable | Value | Standard error |
---|---|---|
Intercept | -3.072 | 0.58989 | ln(SC) | 1.561 | 0.13098 | sin(2π D / 365) | -0.04403 | 0.05321 | cos(2π D / 365) | -0.1796 | 0.07708 |
Correlation Matrix
Intercept | ln(SC) | sin(2π D / 365) | cos(2π D / 365) | |
---|---|---|---|---|
Intercept | 1 | -0.9978 | -0.4979 | 0.6232 |
ln(SC) | -0.9978 | 1 | 0.5135 | -0.5896 |
sin(2π D / 365) | -0.4979 | 0.5135 | 1 | 0.0185 |
cos(2π D / 365) | 0.6232 | -0.5896 | 0.0185 | 1 |
Reference
- Etheridge, A.B., 2015, Occurrence and transport of selected constituents in streams near the Stibnite mining area, central Idaho, 2012–14: U.S. Geological Survey Scientific Investigations Report 2015–5166, 47 p.