Abstract: It is significant to study the pollution of heavy metals in soil, because the pollution is related with the safety of primary products. The objective of this paper is to describe the spatial dynamics of heavy metals in soils, and evaluate the pollution level of heavy metals in spatial scale. Thus, Nantong city in Jiangsu province was selected as the research region, and data obtained were analyzed using Artificial Neural Networks (ANN) Modeling and 3S technology. The results showed that the ANN modeling cannot intelligently reveal the relationship between spatial position and heavy metal content, and predict robustly the heavy metal contents in interpolating dots and reveal correctly the pollution level in every dot according to teacher signals. It is concluded that the farmland soil in large region in Nantong city should be grouped into lower pollution lever, but some fractions belong to severe pollution lever. They are coincident with the actual facts, so ANN modeling can provide a new thought and method to investigate the problem of soil heavy metals.

Key words: soil heavy metals, artificial neural networks modelling, 3S technology