Modelling and Mapping Total and Bioaccessible Arsenic and Lead in Stoke-on-Trent and Their Relationships with Industry

This study was based on a geochemical soil survey of Stoke-on-Trent in the UK 747 surface samples analysed for 53 elements. A subset 50 these were their bioaccessible As and Pb content using Unified Barge Method. Random Forest modelling, total element data as predictor variables, used to predict all samples. inverse distance weighed predictors bedrock superficial geology, also map both 400 × spatial prediction grid with m resolution. The predicted ranged from ca. 1 8 mg/kg 45 mg/kg. covered range 16–1200 mg/kg, highest values forms showing similar distributions. Predictor variable importance information past industry suggest that source elements is driven by anthropogenic causes.