Kansas Real-Time Water Quality

USGS station:	Go to NWISWeb
Constituent:
Time period:
Model Form:

Model Form #2

log₁₀(SO4R) = - 1.2927 + 0.9763 log₁₀(SC)

where:

SO4R is computed sulfate, in milligrams per liter
SC is specific conductance at 25 degrees Celsius, in microsiemens per centimeter

Model Archive Summary

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

Model Calibration

Basic Data

Number of measurements:	190
Mean squared error:	0.020736
Multiple R²:	0.84
Bias correction (smearing) factor:	1.05

Explanatory Variables

Variable	Value	Standard error
Intercept	-1.2927	0.08873
log₁₀(SC)	0.9763	0.03211

Correlation Matrix

A correlation matrix is not available for this model. Therefore, the prediction interval was calculated by assuming that there is no correlation between the explanatory variables.

Reference

Stone, M.L., and Klager, B.J., 2022, Documentation of models describing relations between continuous real-time and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2019: U.S. Geological Survey Open-File Report 2022-1010, 34 p.

Notes

Model derived using Tobit regression estimation (absolute maximum likelihood estimation) approach.