GeoAI-based 3D spatial distribution modeling of PAHs in industrial contaminated soils

In this study, we presented a GeoAI-based method for modeling three-dimensional distribution of soil contamination accurately. We applied the method to a typical industrial site, the results showed that the GeoAI-based method, 3D-DKNN, outperforms other methods. This study highlights the potential of GeoAI in enhancing soil pollution modeling, providing an efficient method for simulating complex, heterogeneous pollutants, while also improves soil risk assessment. <b>The proposed method is widely applicable to other soil pollutants with similar characteristics includes heterogeneous characteristics.</b>