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[Prediction of Spatial Distribution of Heavy Metals in Cultivated Soil Based on Multi-source Auxiliary Variables and

Xue-Feng Xie1, Wei-Wei Guo1, Li-Jie Pu2

  • 1College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.

Huan Jing Ke Xue= Huanjing Kexue
|January 12, 2024
PubMed
Summary

This study compared four models for predicting soil heavy metal (HM) concentrations. The random forest (RF) model demonstrated superior accuracy for most HMs, offering a reliable tool for eco-agriculture and pollution management.

Keywords:
environmental variablesinfluencing factorsrandom forestsoil heavy metalsspatial prediction

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