Probabilistic Uncertainty Consideration in Regionalization and Prediction of Groundwater Nitrate Concentration

In this study, we extend our previous work on a two-dimensional convolutional neural network (2DCNN) for spatial prediction of groundwater nitrate, focusing on improving uncertainty quantification. Our enhanced model incorporates a fully probabilistic Bayesian framework and a structure aimed at opti...

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Bibliographic Details
Main Author: Divas Karimanzira
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Knowledge
Subjects:
Online Access:https://www.mdpi.com/2673-9585/4/4/25