A general methodological framework for predicting and assessing heavy metal pollution in paddy soils using machine learning models

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...

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Bibliographic Details
Main Authors: Unurnyam Jugnee, Le Jiao, Sainbayar Dalantai, Lili Huo, Yi An, Bayartungalag Batsaikhan, Undrakhtsetseg Tsogtbaatar, Munguntuul Ulziibaatar, Boldbaatar Natsagdorj
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Heliyon
Subjects:
Heavy metal
Hunan province
Machine learning
Paddy soil
Pollution prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025009995
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