Kansas Real-Time Water Quality

USGS station:

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Constituent:
Time period:
Model Form:

Model Form #5

log10(SS) = 0.365 + 1.13 log10(TURB)

where:

Model Archive Summary

The model archive summary for computed suspended sediment can be viewed in pdf form here.

Model Calibration

Basic Data

Number of measurements: 30
Mean squared error: 0.079524
Multiple R2: 0.73
Bias correction (smearing) factor: 1.21

Explanatory Variables

VariableValueStandard error
Intercept0.3650.224
log10(TURB) 1.130.128

Correlation Matrix

Interceptlog10(TURB)
Intercept1-0.973
log10(TURB) -0.9731

Notes

Regression models were updated in Kramer and others (2021) and the newest version of the model was applied beginning January 1, 2021. This model was developed using a model calibration dataset with YSI 6-Series model 6136 turbidity sensor data. The computed data uses real-time turbidity data from a YSI EXO turbidity sensor. There are known sensor differences that can affect computations. More information detailing sensor differences, models, period of application, and computed concentrations can be found in Kramer and others (2021).