Application of Machine Learning in Modeling the Relationship between Catchment Attributes and Instream Water Quality in Data-Scarce Regions

Application of Machine Learning in Modeling the Relationship between Catchment Attributes and Instream Water Quality in Data-Scarce Regions

This research delves into the efficacy of machine learning models in predicting water quality parameters within a catchment area, focusing on unraveling the significance of individual input variables. In order to manage water quality, it is necessary to determine the relationship between the physica...

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Bibliographic Details
Main Authors: Miljan Kovačević, Bahman Jabbarian Amiri, Silva Lozančić, Marijana Hadzima-Nyarko, Dorin Radu, Emmanuel Karlo Nyarko
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Toxics
Subjects:
machine learning
water quality
land use
land cover
hydrologic soil groups
geological permeability
Online Access:https://www.mdpi.com/2305-6304/11/12/996

Internet

https://www.mdpi.com/2305-6304/11/12/996

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