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    Prediction of heavy metal spatial distribution in soils of typical industrial zones utilizing 3D convolutional neural networks by Chao Liu, Lan Chen, Guoqing Ni, Xiuhe Yuan, Shuai He, Sheng Miao

    Published 2025-01-01
    “…This study utilizes a three-dimensional Convolutional Neural Network (3DCNN) model, combined with spatial location and soil physicochemical properties, to predict heavy metal in a typical industrial zone in Qingdao City. The results show that the $$R^2$$ of 3DCNN for predicting cadmium (Cd), lead (Pb), copper (Cu) and nickel (Ni) are 0.59, 0.59, 0.77 and 0.51, respectively. …”
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