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. The proposed method is widely applicable to other soil pollutants with similar characteristics includes heterogeneous characteristics.