A general methodological framework for predicting and assessing heavy metal pollution in paddy soils using machine learning models
Heavy metal contamination in paddies poses a serious threat to ecological and human health. Current researches about heavy metal pollution mainly focus on source apportionment, while robust and accurate predictions on its spatial distribution and driving mechanisms is still lacking. Herein, we devel...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025009995 |