Predicting the risk of groundwater arsenic contamination in drinking water wells

•Reliable groundwater As contamination risk predictive model was built from easily-obtainable parameters.•The regression model can well identify the spatial variability of As concentration.•The model approach has promising applications in worldwide As-pollution screening.