Abstract: For the evaluation of heavy metal pollution in soil, researchers often use only one assessment model, and can not choose the best one; In the case of limited access to soil data, data availability and adjustability are poor; Direct evaluation of heavy metal pollution based on a small number of sampling point data is not conducive to the evaluation of the overall impact effect and other issues. In this paper, the evaluation and visualization of heavy metal pollution in soil are studied. The data of sampling points are transformed by Kriging method. Combined with single factor evaluation model, Nemerow index model and weighted average index model, the formula is programmed to achieve rapid evaluation of heavy metal pollution. Combined with open-source WebGL technology, the highly efficient visualization is conducted in the form of pollution degree classification. The research results show that the method proposed in this paper not only could enable users to select evaluation models and interpolation accuracy as required, but also have high data availability, which is conducive to evaluating the overall pollution situation in the study area and obtaining the optimal evaluation results of the area.

Key words: Kriging method, single factor evaluation, Nemerow index, weighted average index, evaluation of soil heavy metal pollution, WebGL