Modeling ion constituents in the Sacramento-San Joaquin Delta using multiple machine learning approaches

Modeling ion constituents in the Sacramento-San Joaquin Delta using multiple machine learning approaches

Salinity is of paramount importance in shaping water quality, ecosystem health, and the capacity to sustain diverse human and environmental demands in estuarine environments. Electrical conductivity (EC) is commonly utilized as an indirect measure of salinity, serving as a proxy for estimating other...

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Bibliographic Details
Main Authors: Peyman Namadi, Minxue He, Prabhjot Sandhu
Format: Article
Language:English
Published: IWA Publishing 2023-11-01
Series:Journal of Hydroinformatics
Subjects:
artificial neural networks
decision trees
gradient boosting
ion constituents
random forests
sacramento-san joaquin delta
Online Access:http://jhydro.iwaponline.com/content/25/6/2541

Internet

http://jhydro.iwaponline.com/content/25/6/2541

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