Nation-wide estimation of groundwater redox conditions and nitrate concentrations through machine learning

Nation-wide estimation of groundwater redox conditions and nitrate concentrations through machine learning

The protection of water resources and development of mitigation strategies require large-scale information on water pollution such as nitrate. Machine learning techniques like random forest (RF) have proven their worth for estimating groundwater quality based on spatial environmental predictors. We...

Full description

Bibliographic Details
Main Authors: Lukas Knoll, Lutz Breuer, Martin Bach
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
groundwater quality
nitrate pollution
redox conditions
random forest
uncertainty
large-scale
Online Access:https://doi.org/10.1088/1748-9326/ab7d5c

Similar Items

Similar Items