Spatial modelling of hazardous elements at waste dumps using geostatistical approach: a case study Sarcheshmeh copper mine, Iran

摘要: Mining activities and resulting wastes can be considered as one of the most important sources hazardous elements in environment. Knowledge spatial distribution toxic waste dump systems is necessary to assess environmental hazard strategy. To achieve this goal, paper investigates using statistical geostatistical analysis. A total 58 soil samples were collected, amount As, Cd, Co, Cr, Cu, Mn, Mo, Ni, Pb Zn was then determined at “Sarcheshmeh” copper mine dumps. In order evaluate presence multivariate outliers, Mahalanobis distance technique (D 2) applied outlier removed. This resulted an increase correlation coefficient. reduce dimension data set, principal component analysis four components which indicate 83.463% variance set. Estimated PCs together with maps based on ordinary kriging display aggregation some parts, validity predictions evaluated leave-one-out cross-validation method. The regression coefficients estimated observed values presented reliability estimates. Sequential Gaussian simulation method for due similar results elements. are almost identical outcomes.