USGS Publicationspublic full text
Documentation of Linear Regression Models for Computing Water-Quality Constituent Concentrations using Continuous Real-Time Water-Quality Data for the North Fork Ninnescah River and Cheney Reservoir, Kansas, 2014–21
usgs, geological survey, united states, science, government publication, usgs scientific investigations report, 2023, 5037, documentation, linear, regression, models, computing, water, quality, constituent, concentrations, using, continuous, real, time, data, north, fork, ninnescah, river, cheney, reservoir
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗Related documents
- Reservoir Evolution, Downstream Sediment Transport, Downstream Channel Change, and Synthesis of Geomorphic Responses of Fall Creek and Middle Fork Willamette River to Water Years 2012–18 Streambed Drawdowns at Fall Creek Lake, Oregon#638311
- Water-Quality Characteristics of the Red River of the North and Tributaries in the Fargo-Moorhead Metropolitan Area, North Dakota, 2019–22#638312
- Water-Quality Indicators of Surface-Water-Influenced Groundwater Supplies in the Ohio River Alluvial Aquifer of West Virginia#638314
- Extent and Duration of Cold-Water Areas Associated with Side Channels and Tributaries of the Lower Yakima River, Washington, September 2018–20#638315
- Evaluation of the Characteristics, Discharge, and Water Quality of Selected Springs at Fort Irwin National Training Center, San Bernardino County, California#638316
Record · ID 638225
Conceptio Open Knowledge Archive — every document is proof-bundled with source, license, and retrieval metadata.