Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies

Author:

Murphy JenniferORCID,Chanat Jeffrey

Funder

U.S. Geological Survey

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference39 articles.

1. Spatial analysis of water quality trends in the Han River basin, South Korea;Chang;Water Res.,2008

2. Water quality monitoring using remote sensing and an artificial neural network;Chebud;Water Air Soil Pollut.,2012

3. Forty-year trends in the flux and concentration of phosphorus in British rivers;Civan;J. Hydrol.,2018

4. Water-quality and streamflow datasets used in the Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation's rivers and streams, 1972-2012;De Cicco;U.S. Geological Survey data release,2017

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