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Kansas Real-Time Water Quality

USGS station:

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Constituent:
Time period:
Model Form:

Model Form #2

log10(SSR) = 0.0799 + 1.12 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: 23
Mean squared error: 0.0081
Multiple R2: 0.99
Bias correction (smearing) factor: 1.2

Explanatory Variables

VariableValueStandard error
Intercept0.07990.0571
log10(TURB) 1.120.0264

Correlation Matrix

Interceptlog10(TURB)
Intercept1-0.945
log10(TURB) -0.9451

Reference

Notes

Regression models were updated in Kramer and others (2021) and the model version developed using YSI EXO data replaced models developed using YSI-6 series turbidity data during the deployment period for the YSI EXO turbidity sensor. This model was developed using a model calibration dataset with YSI EXO turbidity sensor data. The computed data uses real-time turbidity data from a YSI EXO turbidity sensor. Previously published computed data (prior to 2021) were computed using a model developed using a model calibration dataset with YSI 6-series turbidity data. There are known sensor differences that can affect computations. More information detailing sensor differences, models, period of model application, and computed concentrations can be found in Kramer and others (2021).

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Page Last Modified: Wed 06 October 2010